ml_tf

package
v1.55.0 Latest Latest
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 Go to latest Published: Oct 24, 2024 License: Apache-2.0 Imports: 1 Imported by: 0

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Constants

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Variables

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Functions

This section is empty.

Types

type Activity 

type Activity struct {
	// Type of activity. Valid values are: * `APPLIED_TRANSITION`: User applied
	// the corresponding stage transition.
	//
	// * `REQUESTED_TRANSITION`: User requested the corresponding stage
	// transition.
	//
	// * `CANCELLED_REQUEST`: User cancelled an existing transition request.
	//
	// * `APPROVED_REQUEST`: User approved the corresponding stage transition.
	//
	// * `REJECTED_REQUEST`: User rejected the coressponding stage transition.
	//
	// * `SYSTEM_TRANSITION`: For events performed as a side effect, such as
	// archiving existing model versions in a stage.
	ActivityType types.String `tfsdk:"activity_type" tf:"optional"`
	// User-provided comment associated with the activity.
	Comment types.String `tfsdk:"comment" tf:"optional"`
	// Creation time of the object, as a Unix timestamp in milliseconds.
	CreationTimestamp types.Int64 `tfsdk:"creation_timestamp" tf:"optional"`
	// Source stage of the transition (if the activity is stage transition
	// related). Valid values are:
	//
	// * `None`: The initial stage of a model version.
	//
	// * `Staging`: Staging or pre-production stage.
	//
	// * `Production`: Production stage.
	//
	// * `Archived`: Archived stage.
	FromStage types.String `tfsdk:"from_stage" tf:"optional"`
	// Unique identifier for the object.
	Id types.String `tfsdk:"id" tf:"optional"`
	// Time of the object at last update, as a Unix timestamp in milliseconds.
	LastUpdatedTimestamp types.Int64 `tfsdk:"last_updated_timestamp" tf:"optional"`
	// Comment made by system, for example explaining an activity of type
	// `SYSTEM_TRANSITION`. It usually describes a side effect, such as a
	// version being archived as part of another version's stage transition, and
	// may not be returned for some activity types.
	SystemComment types.String `tfsdk:"system_comment" tf:"optional"`
	// Target stage of the transition (if the activity is stage transition
	// related). Valid values are:
	//
	// * `None`: The initial stage of a model version.
	//
	// * `Staging`: Staging or pre-production stage.
	//
	// * `Production`: Production stage.
	//
	// * `Archived`: Archived stage.
	ToStage types.String `tfsdk:"to_stage" tf:"optional"`
	// The username of the user that created the object.
	UserId types.String `tfsdk:"user_id" tf:"optional"`
}

Activity recorded for the action.

func (*Activity) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *Activity) SyncEffectiveFieldsDuringCreateOrUpdate(plan Activity)

func (*Activity) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *Activity) SyncEffectiveFieldsDuringRead(existingState Activity)

type ApproveTransitionRequest 

type ApproveTransitionRequest struct {
	// Specifies whether to archive all current model versions in the target
	// stage.
	ArchiveExistingVersions types.Bool `tfsdk:"archive_existing_versions" tf:""`
	// User-provided comment on the action.
	Comment types.String `tfsdk:"comment" tf:"optional"`
	// Name of the model.
	Name types.String `tfsdk:"name" tf:""`
	// Target stage of the transition. Valid values are:
	//
	// * `None`: The initial stage of a model version.
	//
	// * `Staging`: Staging or pre-production stage.
	//
	// * `Production`: Production stage.
	//
	// * `Archived`: Archived stage.
	Stage types.String `tfsdk:"stage" tf:""`
	// Version of the model.
	Version types.String `tfsdk:"version" tf:""`
}

func (*ApproveTransitionRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ApproveTransitionRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan ApproveTransitionRequest)

func (*ApproveTransitionRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ApproveTransitionRequest) SyncEffectiveFieldsDuringRead(existingState ApproveTransitionRequest)

type ApproveTransitionRequestResponse 

type ApproveTransitionRequestResponse struct {
	// Activity recorded for the action.
	Activity []Activity `tfsdk:"activity" tf:"optional,object"`
}

func (*ApproveTransitionRequestResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ApproveTransitionRequestResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan ApproveTransitionRequestResponse)

func (*ApproveTransitionRequestResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ApproveTransitionRequestResponse) SyncEffectiveFieldsDuringRead(existingState ApproveTransitionRequestResponse)

type CommentObject 

type CommentObject struct {
	// Array of actions on the activity allowed for the current viewer.
	AvailableActions []types.String `tfsdk:"available_actions" tf:"optional"`
	// User-provided comment on the action.
	Comment types.String `tfsdk:"comment" tf:"optional"`
	// Creation time of the object, as a Unix timestamp in milliseconds.
	CreationTimestamp types.Int64 `tfsdk:"creation_timestamp" tf:"optional"`
	// Comment ID
	Id types.String `tfsdk:"id" tf:"optional"`
	// Time of the object at last update, as a Unix timestamp in milliseconds.
	LastUpdatedTimestamp types.Int64 `tfsdk:"last_updated_timestamp" tf:"optional"`
	// The username of the user that created the object.
	UserId types.String `tfsdk:"user_id" tf:"optional"`
}

Comment details.

func (*CommentObject) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *CommentObject) SyncEffectiveFieldsDuringCreateOrUpdate(plan CommentObject)

func (*CommentObject) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *CommentObject) SyncEffectiveFieldsDuringRead(existingState CommentObject)

type CreateComment 

type CreateComment struct {
	// User-provided comment on the action.
	Comment types.String `tfsdk:"comment" tf:""`
	// Name of the model.
	Name types.String `tfsdk:"name" tf:""`
	// Version of the model.
	Version types.String `tfsdk:"version" tf:""`
}

func (*CreateComment) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *CreateComment) SyncEffectiveFieldsDuringCreateOrUpdate(plan CreateComment)

func (*CreateComment) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *CreateComment) SyncEffectiveFieldsDuringRead(existingState CreateComment)

type CreateCommentResponse 

type CreateCommentResponse struct {
	// Comment details.
	Comment []CommentObject `tfsdk:"comment" tf:"optional,object"`
}

func (*CreateCommentResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *CreateCommentResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan CreateCommentResponse)

func (*CreateCommentResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *CreateCommentResponse) SyncEffectiveFieldsDuringRead(existingState CreateCommentResponse)

type CreateExperiment 

type CreateExperiment struct {
	// Location where all artifacts for the experiment are stored. If not
	// provided, the remote server will select an appropriate default.
	ArtifactLocation types.String `tfsdk:"artifact_location" tf:"optional"`
	// Experiment name.
	Name types.String `tfsdk:"name" tf:""`
	// A collection of tags to set on the experiment. Maximum tag size and
	// number of tags per request depends on the storage backend. All storage
	// backends are guaranteed to support tag keys up to 250 bytes in size and
	// tag values up to 5000 bytes in size. All storage backends are also
	// guaranteed to support up to 20 tags per request.
	Tags []ExperimentTag `tfsdk:"tags" tf:"optional"`
}

func (*CreateExperiment) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *CreateExperiment) SyncEffectiveFieldsDuringCreateOrUpdate(plan CreateExperiment)

func (*CreateExperiment) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *CreateExperiment) SyncEffectiveFieldsDuringRead(existingState CreateExperiment)

type CreateExperimentResponse 

type CreateExperimentResponse struct {
	// Unique identifier for the experiment.
	ExperimentId types.String `tfsdk:"experiment_id" tf:"optional"`
}

func (*CreateExperimentResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *CreateExperimentResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan CreateExperimentResponse)

func (*CreateExperimentResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *CreateExperimentResponse) SyncEffectiveFieldsDuringRead(existingState CreateExperimentResponse)

type CreateModelRequest 

type CreateModelRequest struct {
	// Optional description for registered model.
	Description types.String `tfsdk:"description" tf:"optional"`
	// Register models under this name
	Name types.String `tfsdk:"name" tf:""`
	// Additional metadata for registered model.
	Tags []ModelTag `tfsdk:"tags" tf:"optional"`
}

func (*CreateModelRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *CreateModelRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan CreateModelRequest)

func (*CreateModelRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *CreateModelRequest) SyncEffectiveFieldsDuringRead(existingState CreateModelRequest)

type CreateModelResponse 

type CreateModelResponse struct {
	RegisteredModel []Model `tfsdk:"registered_model" tf:"optional,object"`
}

func (*CreateModelResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *CreateModelResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan CreateModelResponse)

func (*CreateModelResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *CreateModelResponse) SyncEffectiveFieldsDuringRead(existingState CreateModelResponse)

type CreateModelVersionRequest 

type CreateModelVersionRequest struct {
	// Optional description for model version.
	Description types.String `tfsdk:"description" tf:"optional"`
	// Register model under this name
	Name types.String `tfsdk:"name" tf:""`
	// MLflow run ID for correlation, if `source` was generated by an experiment
	// run in MLflow tracking server
	RunId types.String `tfsdk:"run_id" tf:"optional"`
	// MLflow run link - this is the exact link of the run that generated this
	// model version, potentially hosted at another instance of MLflow.
	RunLink types.String `tfsdk:"run_link" tf:"optional"`
	// URI indicating the location of the model artifacts.
	Source types.String `tfsdk:"source" tf:""`
	// Additional metadata for model version.
	Tags []ModelVersionTag `tfsdk:"tags" tf:"optional"`
}

func (*CreateModelVersionRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *CreateModelVersionRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan CreateModelVersionRequest)

func (*CreateModelVersionRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *CreateModelVersionRequest) SyncEffectiveFieldsDuringRead(existingState CreateModelVersionRequest)

type CreateModelVersionResponse 

type CreateModelVersionResponse struct {
	// Return new version number generated for this model in registry.
	ModelVersion []ModelVersion `tfsdk:"model_version" tf:"optional,object"`
}

func (*CreateModelVersionResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *CreateModelVersionResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan CreateModelVersionResponse)

func (*CreateModelVersionResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *CreateModelVersionResponse) SyncEffectiveFieldsDuringRead(existingState CreateModelVersionResponse)

type CreateRegistryWebhook 

type CreateRegistryWebhook struct {
	// User-specified description for the webhook.
	Description types.String `tfsdk:"description" tf:"optional"`
	// Events that can trigger a registry webhook: * `MODEL_VERSION_CREATED`: A
	// new model version was created for the associated model.
	//
	// * `MODEL_VERSION_TRANSITIONED_STAGE`: A model version’s stage was
	// changed.
	//
	// * `TRANSITION_REQUEST_CREATED`: A user requested a model version’s
	// stage be transitioned.
	//
	// * `COMMENT_CREATED`: A user wrote a comment on a registered model.
	//
	// * `REGISTERED_MODEL_CREATED`: A new registered model was created. This
	// event type can only be specified for a registry-wide webhook, which can
	// be created by not specifying a model name in the create request.
	//
	// * `MODEL_VERSION_TAG_SET`: A user set a tag on the model version.
	//
	// * `MODEL_VERSION_TRANSITIONED_TO_STAGING`: A model version was
	// transitioned to staging.
	//
	// * `MODEL_VERSION_TRANSITIONED_TO_PRODUCTION`: A model version was
	// transitioned to production.
	//
	// * `MODEL_VERSION_TRANSITIONED_TO_ARCHIVED`: A model version was archived.
	//
	// * `TRANSITION_REQUEST_TO_STAGING_CREATED`: A user requested a model
	// version be transitioned to staging.
	//
	// * `TRANSITION_REQUEST_TO_PRODUCTION_CREATED`: A user requested a model
	// version be transitioned to production.
	//
	// * `TRANSITION_REQUEST_TO_ARCHIVED_CREATED`: A user requested a model
	// version be archived.
	Events []types.String `tfsdk:"events" tf:""`

	HttpUrlSpec []HttpUrlSpec `tfsdk:"http_url_spec" tf:"optional,object"`

	JobSpec []JobSpec `tfsdk:"job_spec" tf:"optional,object"`
	// Name of the model whose events would trigger this webhook.
	ModelName types.String `tfsdk:"model_name" tf:"optional"`
	// Enable or disable triggering the webhook, or put the webhook into test
	// mode. The default is `ACTIVE`: * `ACTIVE`: Webhook is triggered when an
	// associated event happens.
	//
	// * `DISABLED`: Webhook is not triggered.
	//
	// * `TEST_MODE`: Webhook can be triggered through the test endpoint, but is
	// not triggered on a real event.
	Status types.String `tfsdk:"status" tf:"optional"`
}

func (*CreateRegistryWebhook) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *CreateRegistryWebhook) SyncEffectiveFieldsDuringCreateOrUpdate(plan CreateRegistryWebhook)

func (*CreateRegistryWebhook) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *CreateRegistryWebhook) SyncEffectiveFieldsDuringRead(existingState CreateRegistryWebhook)

type CreateRun 

type CreateRun struct {
	// ID of the associated experiment.
	ExperimentId types.String `tfsdk:"experiment_id" tf:"optional"`
	// Unix timestamp in milliseconds of when the run started.
	StartTime types.Int64 `tfsdk:"start_time" tf:"optional"`
	// Additional metadata for run.
	Tags []RunTag `tfsdk:"tags" tf:"optional"`
	// ID of the user executing the run. This field is deprecated as of MLflow
	// 1.0, and will be removed in a future MLflow release. Use 'mlflow.user'
	// tag instead.
	UserId types.String `tfsdk:"user_id" tf:"optional"`
}

func (*CreateRun) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *CreateRun) SyncEffectiveFieldsDuringCreateOrUpdate(plan CreateRun)

func (*CreateRun) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *CreateRun) SyncEffectiveFieldsDuringRead(existingState CreateRun)

type CreateRunResponse 

type CreateRunResponse struct {
	// The newly created run.
	Run []Run `tfsdk:"run" tf:"optional,object"`
}

func (*CreateRunResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *CreateRunResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan CreateRunResponse)

func (*CreateRunResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *CreateRunResponse) SyncEffectiveFieldsDuringRead(existingState CreateRunResponse)

type CreateTransitionRequest 

type CreateTransitionRequest struct {
	// User-provided comment on the action.
	Comment types.String `tfsdk:"comment" tf:"optional"`
	// Name of the model.
	Name types.String `tfsdk:"name" tf:""`
	// Target stage of the transition. Valid values are:
	//
	// * `None`: The initial stage of a model version.
	//
	// * `Staging`: Staging or pre-production stage.
	//
	// * `Production`: Production stage.
	//
	// * `Archived`: Archived stage.
	Stage types.String `tfsdk:"stage" tf:""`
	// Version of the model.
	Version types.String `tfsdk:"version" tf:""`
}

func (*CreateTransitionRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *CreateTransitionRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan CreateTransitionRequest)

func (*CreateTransitionRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *CreateTransitionRequest) SyncEffectiveFieldsDuringRead(existingState CreateTransitionRequest)

type CreateTransitionRequestResponse 

type CreateTransitionRequestResponse struct {
	// Transition request details.
	Request []TransitionRequest `tfsdk:"request" tf:"optional,object"`
}

func (*CreateTransitionRequestResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *CreateTransitionRequestResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan CreateTransitionRequestResponse)

func (*CreateTransitionRequestResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *CreateTransitionRequestResponse) SyncEffectiveFieldsDuringRead(existingState CreateTransitionRequestResponse)

type CreateWebhookResponse 

type CreateWebhookResponse struct {
	Webhook []RegistryWebhook `tfsdk:"webhook" tf:"optional,object"`
}

func (*CreateWebhookResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *CreateWebhookResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan CreateWebhookResponse)

func (*CreateWebhookResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *CreateWebhookResponse) SyncEffectiveFieldsDuringRead(existingState CreateWebhookResponse)

type Dataset 

type Dataset struct {
	// Dataset digest, e.g. an md5 hash of the dataset that uniquely identifies
	// it within datasets of the same name.
	Digest types.String `tfsdk:"digest" tf:"optional"`
	// The name of the dataset. E.g. “my.uc.table@2” “nyc-taxi-dataset”,
	// “fantastic-elk-3”
	Name types.String `tfsdk:"name" tf:"optional"`
	// The profile of the dataset. Summary statistics for the dataset, such as
	// the number of rows in a table, the mean / std / mode of each column in a
	// table, or the number of elements in an array.
	Profile types.String `tfsdk:"profile" tf:"optional"`
	// The schema of the dataset. E.g., MLflow ColSpec JSON for a dataframe,
	// MLflow TensorSpec JSON for an ndarray, or another schema format.
	Schema types.String `tfsdk:"schema" tf:"optional"`
	// The type of the dataset source, e.g. ‘databricks-uc-table’,
	// ‘DBFS’, ‘S3’, ...
	Source types.String `tfsdk:"source" tf:"optional"`
	// Source information for the dataset. Note that the source may not exactly
	// reproduce the dataset if it was transformed / modified before use with
	// MLflow.
	SourceType types.String `tfsdk:"source_type" tf:"optional"`
}

func (*Dataset) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *Dataset) SyncEffectiveFieldsDuringCreateOrUpdate(plan Dataset)

func (*Dataset) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *Dataset) SyncEffectiveFieldsDuringRead(existingState Dataset)

type DatasetInput 

type DatasetInput struct {
	// The dataset being used as a Run input.
	Dataset []Dataset `tfsdk:"dataset" tf:"optional,object"`
	// A list of tags for the dataset input, e.g. a “context” tag with value
	// “training”
	Tags []InputTag `tfsdk:"tags" tf:"optional"`
}

func (*DatasetInput) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DatasetInput) SyncEffectiveFieldsDuringCreateOrUpdate(plan DatasetInput)

func (*DatasetInput) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DatasetInput) SyncEffectiveFieldsDuringRead(existingState DatasetInput)

type DeleteCommentRequest 

type DeleteCommentRequest struct {
	Id types.String `tfsdk:"-"`
}

Delete a comment

func (*DeleteCommentRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteCommentRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteCommentRequest)

func (*DeleteCommentRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteCommentRequest) SyncEffectiveFieldsDuringRead(existingState DeleteCommentRequest)

type DeleteCommentResponse 

type DeleteCommentResponse struct {
}

func (*DeleteCommentResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteCommentResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteCommentResponse)

func (*DeleteCommentResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteCommentResponse) SyncEffectiveFieldsDuringRead(existingState DeleteCommentResponse)

type DeleteExperiment 

type DeleteExperiment struct {
	// ID of the associated experiment.
	ExperimentId types.String `tfsdk:"experiment_id" tf:""`
}

func (*DeleteExperiment) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteExperiment) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteExperiment)

func (*DeleteExperiment) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteExperiment) SyncEffectiveFieldsDuringRead(existingState DeleteExperiment)

type DeleteExperimentResponse 

type DeleteExperimentResponse struct {
}

func (*DeleteExperimentResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteExperimentResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteExperimentResponse)

func (*DeleteExperimentResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteExperimentResponse) SyncEffectiveFieldsDuringRead(existingState DeleteExperimentResponse)

type DeleteModelRequest 

type DeleteModelRequest struct {
	// Registered model unique name identifier.
	Name types.String `tfsdk:"-"`
}

Delete a model

func (*DeleteModelRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteModelRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteModelRequest)

func (*DeleteModelRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteModelRequest) SyncEffectiveFieldsDuringRead(existingState DeleteModelRequest)

type DeleteModelResponse 

type DeleteModelResponse struct {
}

func (*DeleteModelResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteModelResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteModelResponse)

func (*DeleteModelResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteModelResponse) SyncEffectiveFieldsDuringRead(existingState DeleteModelResponse)

type DeleteModelTagRequest 

type DeleteModelTagRequest struct {
	// Name of the tag. The name must be an exact match; wild-card deletion is
	// not supported. Maximum size is 250 bytes.
	Key types.String `tfsdk:"-"`
	// Name of the registered model that the tag was logged under.
	Name types.String `tfsdk:"-"`
}

Delete a model tag

func (*DeleteModelTagRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteModelTagRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteModelTagRequest)

func (*DeleteModelTagRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteModelTagRequest) SyncEffectiveFieldsDuringRead(existingState DeleteModelTagRequest)

type DeleteModelTagResponse 

type DeleteModelTagResponse struct {
}

func (*DeleteModelTagResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteModelTagResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteModelTagResponse)

func (*DeleteModelTagResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteModelTagResponse) SyncEffectiveFieldsDuringRead(existingState DeleteModelTagResponse)

type DeleteModelVersionRequest 

type DeleteModelVersionRequest struct {
	// Name of the registered model
	Name types.String `tfsdk:"-"`
	// Model version number
	Version types.String `tfsdk:"-"`
}

Delete a model version.

func (*DeleteModelVersionRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteModelVersionRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteModelVersionRequest)

func (*DeleteModelVersionRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteModelVersionRequest) SyncEffectiveFieldsDuringRead(existingState DeleteModelVersionRequest)

type DeleteModelVersionResponse 

type DeleteModelVersionResponse struct {
}

func (*DeleteModelVersionResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteModelVersionResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteModelVersionResponse)

func (*DeleteModelVersionResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteModelVersionResponse) SyncEffectiveFieldsDuringRead(existingState DeleteModelVersionResponse)

type DeleteModelVersionTagRequest 

type DeleteModelVersionTagRequest struct {
	// Name of the tag. The name must be an exact match; wild-card deletion is
	// not supported. Maximum size is 250 bytes.
	Key types.String `tfsdk:"-"`
	// Name of the registered model that the tag was logged under.
	Name types.String `tfsdk:"-"`
	// Model version number that the tag was logged under.
	Version types.String `tfsdk:"-"`
}

Delete a model version tag

func (*DeleteModelVersionTagRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteModelVersionTagRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteModelVersionTagRequest)

func (*DeleteModelVersionTagRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteModelVersionTagRequest) SyncEffectiveFieldsDuringRead(existingState DeleteModelVersionTagRequest)

type DeleteModelVersionTagResponse 

type DeleteModelVersionTagResponse struct {
}

func (*DeleteModelVersionTagResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteModelVersionTagResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteModelVersionTagResponse)

func (*DeleteModelVersionTagResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteModelVersionTagResponse) SyncEffectiveFieldsDuringRead(existingState DeleteModelVersionTagResponse)

type DeleteRun 

type DeleteRun struct {
	// ID of the run to delete.
	RunId types.String `tfsdk:"run_id" tf:""`
}

func (*DeleteRun) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteRun) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteRun)

func (*DeleteRun) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteRun) SyncEffectiveFieldsDuringRead(existingState DeleteRun)

type DeleteRunResponse 

type DeleteRunResponse struct {
}

func (*DeleteRunResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteRunResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteRunResponse)

func (*DeleteRunResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteRunResponse) SyncEffectiveFieldsDuringRead(existingState DeleteRunResponse)

type DeleteRuns 

type DeleteRuns struct {
	// The ID of the experiment containing the runs to delete.
	ExperimentId types.String `tfsdk:"experiment_id" tf:""`
	// An optional positive integer indicating the maximum number of runs to
	// delete. The maximum allowed value for max_runs is 10000.
	MaxRuns types.Int64 `tfsdk:"max_runs" tf:"optional"`
	// The maximum creation timestamp in milliseconds since the UNIX epoch for
	// deleting runs. Only runs created prior to or at this timestamp are
	// deleted.
	MaxTimestampMillis types.Int64 `tfsdk:"max_timestamp_millis" tf:""`
}

func (*DeleteRuns) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteRuns) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteRuns)

func (*DeleteRuns) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteRuns) SyncEffectiveFieldsDuringRead(existingState DeleteRuns)

type DeleteRunsResponse 

type DeleteRunsResponse struct {
	// The number of runs deleted.
	RunsDeleted types.Int64 `tfsdk:"runs_deleted" tf:"optional"`
}

func (*DeleteRunsResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteRunsResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteRunsResponse)

func (*DeleteRunsResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteRunsResponse) SyncEffectiveFieldsDuringRead(existingState DeleteRunsResponse)

type DeleteTag 

type DeleteTag struct {
	// Name of the tag. Maximum size is 255 bytes. Must be provided.
	Key types.String `tfsdk:"key" tf:""`
	// ID of the run that the tag was logged under. Must be provided.
	RunId types.String `tfsdk:"run_id" tf:""`
}

func (*DeleteTag) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteTag) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteTag)

func (*DeleteTag) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteTag) SyncEffectiveFieldsDuringRead(existingState DeleteTag)

type DeleteTagResponse 

type DeleteTagResponse struct {
}

func (*DeleteTagResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteTagResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteTagResponse)

func (*DeleteTagResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteTagResponse) SyncEffectiveFieldsDuringRead(existingState DeleteTagResponse)

type DeleteTransitionRequestRequest 

type DeleteTransitionRequestRequest struct {
	// User-provided comment on the action.
	Comment types.String `tfsdk:"-"`
	// Username of the user who created this request. Of the transition requests
	// matching the specified details, only the one transition created by this
	// user will be deleted.
	Creator types.String `tfsdk:"-"`
	// Name of the model.
	Name types.String `tfsdk:"-"`
	// Target stage of the transition request. Valid values are:
	//
	// * `None`: The initial stage of a model version.
	//
	// * `Staging`: Staging or pre-production stage.
	//
	// * `Production`: Production stage.
	//
	// * `Archived`: Archived stage.
	Stage types.String `tfsdk:"-"`
	// Version of the model.
	Version types.String `tfsdk:"-"`
}

Delete a transition request

func (*DeleteTransitionRequestRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteTransitionRequestRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteTransitionRequestRequest)

func (*DeleteTransitionRequestRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteTransitionRequestRequest) SyncEffectiveFieldsDuringRead(existingState DeleteTransitionRequestRequest)

type DeleteTransitionRequestResponse 

type DeleteTransitionRequestResponse struct {
}

func (*DeleteTransitionRequestResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteTransitionRequestResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteTransitionRequestResponse)

func (*DeleteTransitionRequestResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteTransitionRequestResponse) SyncEffectiveFieldsDuringRead(existingState DeleteTransitionRequestResponse)

type DeleteWebhookRequest 

type DeleteWebhookRequest struct {
	// Webhook ID required to delete a registry webhook.
	Id types.String `tfsdk:"-"`
}

Delete a webhook

func (*DeleteWebhookRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteWebhookRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteWebhookRequest)

func (*DeleteWebhookRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteWebhookRequest) SyncEffectiveFieldsDuringRead(existingState DeleteWebhookRequest)

type DeleteWebhookResponse 

type DeleteWebhookResponse struct {
}

func (*DeleteWebhookResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *DeleteWebhookResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan DeleteWebhookResponse)

func (*DeleteWebhookResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *DeleteWebhookResponse) SyncEffectiveFieldsDuringRead(existingState DeleteWebhookResponse)

type Experiment 

type Experiment struct {
	// Location where artifacts for the experiment are stored.
	ArtifactLocation types.String `tfsdk:"artifact_location" tf:"optional"`
	// Creation time
	CreationTime types.Int64 `tfsdk:"creation_time" tf:"optional"`
	// Unique identifier for the experiment.
	ExperimentId types.String `tfsdk:"experiment_id" tf:"optional"`
	// Last update time
	LastUpdateTime types.Int64 `tfsdk:"last_update_time" tf:"optional"`
	// Current life cycle stage of the experiment: "active" or "deleted".
	// Deleted experiments are not returned by APIs.
	LifecycleStage types.String `tfsdk:"lifecycle_stage" tf:"optional"`
	// Human readable name that identifies the experiment.
	Name types.String `tfsdk:"name" tf:"optional"`
	// Tags: Additional metadata key-value pairs.
	Tags []ExperimentTag `tfsdk:"tags" tf:"optional"`
}

func (*Experiment) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *Experiment) SyncEffectiveFieldsDuringCreateOrUpdate(plan Experiment)

func (*Experiment) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *Experiment) SyncEffectiveFieldsDuringRead(existingState Experiment)

type ExperimentAccessControlRequest 

type ExperimentAccessControlRequest struct {
	// name of the group
	GroupName types.String `tfsdk:"group_name" tf:"optional"`
	// Permission level
	PermissionLevel types.String `tfsdk:"permission_level" tf:"optional"`
	// application ID of a service principal
	ServicePrincipalName types.String `tfsdk:"service_principal_name" tf:"optional"`
	// name of the user
	UserName types.String `tfsdk:"user_name" tf:"optional"`
}

func (*ExperimentAccessControlRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ExperimentAccessControlRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan ExperimentAccessControlRequest)

func (*ExperimentAccessControlRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ExperimentAccessControlRequest) SyncEffectiveFieldsDuringRead(existingState ExperimentAccessControlRequest)

type ExperimentAccessControlResponse 

type ExperimentAccessControlResponse struct {
	// All permissions.
	AllPermissions []ExperimentPermission `tfsdk:"all_permissions" tf:"optional"`
	// Display name of the user or service principal.
	DisplayName types.String `tfsdk:"display_name" tf:"optional"`
	// name of the group
	GroupName types.String `tfsdk:"group_name" tf:"optional"`
	// Name of the service principal.
	ServicePrincipalName types.String `tfsdk:"service_principal_name" tf:"optional"`
	// name of the user
	UserName types.String `tfsdk:"user_name" tf:"optional"`
}

func (*ExperimentAccessControlResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ExperimentAccessControlResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan ExperimentAccessControlResponse)

func (*ExperimentAccessControlResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ExperimentAccessControlResponse) SyncEffectiveFieldsDuringRead(existingState ExperimentAccessControlResponse)

type ExperimentPermission 

type ExperimentPermission struct {
	Inherited types.Bool `tfsdk:"inherited" tf:"optional"`

	InheritedFromObject []types.String `tfsdk:"inherited_from_object" tf:"optional"`
	// Permission level
	PermissionLevel types.String `tfsdk:"permission_level" tf:"optional"`
}

func (*ExperimentPermission) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ExperimentPermission) SyncEffectiveFieldsDuringCreateOrUpdate(plan ExperimentPermission)

func (*ExperimentPermission) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ExperimentPermission) SyncEffectiveFieldsDuringRead(existingState ExperimentPermission)

type ExperimentPermissions 

type ExperimentPermissions struct {
	AccessControlList []ExperimentAccessControlResponse `tfsdk:"access_control_list" tf:"optional"`

	ObjectId types.String `tfsdk:"object_id" tf:"optional"`

	ObjectType types.String `tfsdk:"object_type" tf:"optional"`
}

func (*ExperimentPermissions) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ExperimentPermissions) SyncEffectiveFieldsDuringCreateOrUpdate(plan ExperimentPermissions)

func (*ExperimentPermissions) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ExperimentPermissions) SyncEffectiveFieldsDuringRead(existingState ExperimentPermissions)

type ExperimentPermissionsDescription 

type ExperimentPermissionsDescription struct {
	Description types.String `tfsdk:"description" tf:"optional"`
	// Permission level
	PermissionLevel types.String `tfsdk:"permission_level" tf:"optional"`
}

func (*ExperimentPermissionsDescription) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ExperimentPermissionsDescription) SyncEffectiveFieldsDuringCreateOrUpdate(plan ExperimentPermissionsDescription)

func (*ExperimentPermissionsDescription) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ExperimentPermissionsDescription) SyncEffectiveFieldsDuringRead(existingState ExperimentPermissionsDescription)

type ExperimentPermissionsRequest 

type ExperimentPermissionsRequest struct {
	AccessControlList []ExperimentAccessControlRequest `tfsdk:"access_control_list" tf:"optional"`
	// The experiment for which to get or manage permissions.
	ExperimentId types.String `tfsdk:"-"`
}

func (*ExperimentPermissionsRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ExperimentPermissionsRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan ExperimentPermissionsRequest)

func (*ExperimentPermissionsRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ExperimentPermissionsRequest) SyncEffectiveFieldsDuringRead(existingState ExperimentPermissionsRequest)

type ExperimentTag 

type ExperimentTag struct {
	// The tag key.
	Key types.String `tfsdk:"key" tf:"optional"`
	// The tag value.
	Value types.String `tfsdk:"value" tf:"optional"`
}

func (*ExperimentTag) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ExperimentTag) SyncEffectiveFieldsDuringCreateOrUpdate(plan ExperimentTag)

func (*ExperimentTag) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ExperimentTag) SyncEffectiveFieldsDuringRead(existingState ExperimentTag)

type FileInfo 

type FileInfo struct {
	// Size in bytes. Unset for directories.
	FileSize types.Int64 `tfsdk:"file_size" tf:"optional"`
	// Whether the path is a directory.
	IsDir types.Bool `tfsdk:"is_dir" tf:"optional"`
	// Path relative to the root artifact directory run.
	Path types.String `tfsdk:"path" tf:"optional"`
}

func (*FileInfo) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *FileInfo) SyncEffectiveFieldsDuringCreateOrUpdate(plan FileInfo)

func (*FileInfo) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *FileInfo) SyncEffectiveFieldsDuringRead(existingState FileInfo)

type GetByNameRequest 

type GetByNameRequest struct {
	// Name of the associated experiment.
	ExperimentName types.String `tfsdk:"-"`
}

Get metadata

func (*GetByNameRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetByNameRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetByNameRequest)

func (*GetByNameRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetByNameRequest) SyncEffectiveFieldsDuringRead(existingState GetByNameRequest)

type GetExperimentPermissionLevelsRequest 

type GetExperimentPermissionLevelsRequest struct {
	// The experiment for which to get or manage permissions.
	ExperimentId types.String `tfsdk:"-"`
}

Get experiment permission levels

func (*GetExperimentPermissionLevelsRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetExperimentPermissionLevelsRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetExperimentPermissionLevelsRequest)

func (*GetExperimentPermissionLevelsRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetExperimentPermissionLevelsRequest) SyncEffectiveFieldsDuringRead(existingState GetExperimentPermissionLevelsRequest)

type GetExperimentPermissionLevelsResponse 

type GetExperimentPermissionLevelsResponse struct {
	// Specific permission levels
	PermissionLevels []ExperimentPermissionsDescription `tfsdk:"permission_levels" tf:"optional"`
}

func (*GetExperimentPermissionLevelsResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetExperimentPermissionLevelsResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetExperimentPermissionLevelsResponse)

func (*GetExperimentPermissionLevelsResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetExperimentPermissionLevelsResponse) SyncEffectiveFieldsDuringRead(existingState GetExperimentPermissionLevelsResponse)

type GetExperimentPermissionsRequest 

type GetExperimentPermissionsRequest struct {
	// The experiment for which to get or manage permissions.
	ExperimentId types.String `tfsdk:"-"`
}

Get experiment permissions

func (*GetExperimentPermissionsRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetExperimentPermissionsRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetExperimentPermissionsRequest)

func (*GetExperimentPermissionsRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetExperimentPermissionsRequest) SyncEffectiveFieldsDuringRead(existingState GetExperimentPermissionsRequest)

type GetExperimentRequest 

type GetExperimentRequest struct {
	// ID of the associated experiment.
	ExperimentId types.String `tfsdk:"-"`
}

Get an experiment

func (*GetExperimentRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetExperimentRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetExperimentRequest)

func (*GetExperimentRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetExperimentRequest) SyncEffectiveFieldsDuringRead(existingState GetExperimentRequest)

type GetExperimentResponse 

type GetExperimentResponse struct {
	// Experiment details.
	Experiment []Experiment `tfsdk:"experiment" tf:"optional,object"`
}

func (*GetExperimentResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetExperimentResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetExperimentResponse)

func (*GetExperimentResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetExperimentResponse) SyncEffectiveFieldsDuringRead(existingState GetExperimentResponse)

type GetHistoryRequest 

type GetHistoryRequest struct {
	// Maximum number of Metric records to return per paginated request. Default
	// is set to 25,000. If set higher than 25,000, a request Exception will be
	// raised.
	MaxResults types.Int64 `tfsdk:"-"`
	// Name of the metric.
	MetricKey types.String `tfsdk:"-"`
	// Token indicating the page of metric histories to fetch.
	PageToken types.String `tfsdk:"-"`
	// ID of the run from which to fetch metric values. Must be provided.
	RunId types.String `tfsdk:"-"`
	// [Deprecated, use run_id instead] ID of the run from which to fetch metric
	// values. This field will be removed in a future MLflow version.
	RunUuid types.String `tfsdk:"-"`
}

Get history of a given metric within a run

func (*GetHistoryRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetHistoryRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetHistoryRequest)

func (*GetHistoryRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetHistoryRequest) SyncEffectiveFieldsDuringRead(existingState GetHistoryRequest)

type GetLatestVersionsRequest 

type GetLatestVersionsRequest struct {
	// Registered model unique name identifier.
	Name types.String `tfsdk:"name" tf:""`
	// List of stages.
	Stages []types.String `tfsdk:"stages" tf:"optional"`
}

func (*GetLatestVersionsRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetLatestVersionsRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetLatestVersionsRequest)

func (*GetLatestVersionsRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetLatestVersionsRequest) SyncEffectiveFieldsDuringRead(existingState GetLatestVersionsRequest)

type GetLatestVersionsResponse 

type GetLatestVersionsResponse struct {
	// Latest version models for each requests stage. Only return models with
	// current `READY` status. If no `stages` provided, returns the latest
	// version for each stage, including `"None"`.
	ModelVersions []ModelVersion `tfsdk:"model_versions" tf:"optional"`
}

func (*GetLatestVersionsResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetLatestVersionsResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetLatestVersionsResponse)

func (*GetLatestVersionsResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetLatestVersionsResponse) SyncEffectiveFieldsDuringRead(existingState GetLatestVersionsResponse)

type GetMetricHistoryResponse 

type GetMetricHistoryResponse struct {
	// All logged values for this metric.
	Metrics []Metric `tfsdk:"metrics" tf:"optional"`
	// Token that can be used to retrieve the next page of metric history
	// results
	NextPageToken types.String `tfsdk:"next_page_token" tf:"optional"`
}

func (*GetMetricHistoryResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetMetricHistoryResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetMetricHistoryResponse)

func (*GetMetricHistoryResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetMetricHistoryResponse) SyncEffectiveFieldsDuringRead(existingState GetMetricHistoryResponse)

type GetModelRequest 

type GetModelRequest struct {
	// Registered model unique name identifier.
	Name types.String `tfsdk:"-"`
}

Get model

func (*GetModelRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetModelRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetModelRequest)

func (*GetModelRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetModelRequest) SyncEffectiveFieldsDuringRead(existingState GetModelRequest)

type GetModelResponse 

type GetModelResponse struct {
	RegisteredModelDatabricks []ModelDatabricks `tfsdk:"registered_model_databricks" tf:"optional,object"`
}

func (*GetModelResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetModelResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetModelResponse)

func (*GetModelResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetModelResponse) SyncEffectiveFieldsDuringRead(existingState GetModelResponse)

type GetModelVersionDownloadUriRequest 

type GetModelVersionDownloadUriRequest struct {
	// Name of the registered model
	Name types.String `tfsdk:"-"`
	// Model version number
	Version types.String `tfsdk:"-"`
}

Get a model version URI

func (*GetModelVersionDownloadUriRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetModelVersionDownloadUriRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetModelVersionDownloadUriRequest)

func (*GetModelVersionDownloadUriRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetModelVersionDownloadUriRequest) SyncEffectiveFieldsDuringRead(existingState GetModelVersionDownloadUriRequest)

type GetModelVersionDownloadUriResponse 

type GetModelVersionDownloadUriResponse struct {
	// URI corresponding to where artifacts for this model version are stored.
	ArtifactUri types.String `tfsdk:"artifact_uri" tf:"optional"`
}

func (*GetModelVersionDownloadUriResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetModelVersionDownloadUriResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetModelVersionDownloadUriResponse)

func (*GetModelVersionDownloadUriResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetModelVersionDownloadUriResponse) SyncEffectiveFieldsDuringRead(existingState GetModelVersionDownloadUriResponse)

type GetModelVersionRequest 

type GetModelVersionRequest struct {
	// Name of the registered model
	Name types.String `tfsdk:"-"`
	// Model version number
	Version types.String `tfsdk:"-"`
}

Get a model version

func (*GetModelVersionRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetModelVersionRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetModelVersionRequest)

func (*GetModelVersionRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetModelVersionRequest) SyncEffectiveFieldsDuringRead(existingState GetModelVersionRequest)

type GetModelVersionResponse 

type GetModelVersionResponse struct {
	ModelVersion []ModelVersion `tfsdk:"model_version" tf:"optional,object"`
}

func (*GetModelVersionResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetModelVersionResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetModelVersionResponse)

func (*GetModelVersionResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetModelVersionResponse) SyncEffectiveFieldsDuringRead(existingState GetModelVersionResponse)

type GetRegisteredModelPermissionLevelsRequest 

type GetRegisteredModelPermissionLevelsRequest struct {
	// The registered model for which to get or manage permissions.
	RegisteredModelId types.String `tfsdk:"-"`
}

Get registered model permission levels

func (*GetRegisteredModelPermissionLevelsRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetRegisteredModelPermissionLevelsRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetRegisteredModelPermissionLevelsRequest)

func (*GetRegisteredModelPermissionLevelsRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetRegisteredModelPermissionLevelsRequest) SyncEffectiveFieldsDuringRead(existingState GetRegisteredModelPermissionLevelsRequest)

type GetRegisteredModelPermissionLevelsResponse 

type GetRegisteredModelPermissionLevelsResponse struct {
	// Specific permission levels
	PermissionLevels []RegisteredModelPermissionsDescription `tfsdk:"permission_levels" tf:"optional"`
}

func (*GetRegisteredModelPermissionLevelsResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetRegisteredModelPermissionLevelsResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetRegisteredModelPermissionLevelsResponse)

func (*GetRegisteredModelPermissionLevelsResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetRegisteredModelPermissionLevelsResponse) SyncEffectiveFieldsDuringRead(existingState GetRegisteredModelPermissionLevelsResponse)

type GetRegisteredModelPermissionsRequest 

type GetRegisteredModelPermissionsRequest struct {
	// The registered model for which to get or manage permissions.
	RegisteredModelId types.String `tfsdk:"-"`
}

Get registered model permissions

func (*GetRegisteredModelPermissionsRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetRegisteredModelPermissionsRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetRegisteredModelPermissionsRequest)

func (*GetRegisteredModelPermissionsRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetRegisteredModelPermissionsRequest) SyncEffectiveFieldsDuringRead(existingState GetRegisteredModelPermissionsRequest)

type GetRunRequest 

type GetRunRequest struct {
	// ID of the run to fetch. Must be provided.
	RunId types.String `tfsdk:"-"`
	// [Deprecated, use run_id instead] ID of the run to fetch. This field will
	// be removed in a future MLflow version.
	RunUuid types.String `tfsdk:"-"`
}

Get a run

func (*GetRunRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetRunRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetRunRequest)

func (*GetRunRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetRunRequest) SyncEffectiveFieldsDuringRead(existingState GetRunRequest)

type GetRunResponse 

type GetRunResponse struct {
	// Run metadata (name, start time, etc) and data (metrics, params, and
	// tags).
	Run []Run `tfsdk:"run" tf:"optional,object"`
}

func (*GetRunResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *GetRunResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan GetRunResponse)

func (*GetRunResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *GetRunResponse) SyncEffectiveFieldsDuringRead(existingState GetRunResponse)

type HttpUrlSpec 

type HttpUrlSpec struct {
	// Value of the authorization header that should be sent in the request sent
	// by the wehbook. It should be of the form `"<auth type> <credentials>"`.
	// If set to an empty string, no authorization header will be included in
	// the request.
	Authorization types.String `tfsdk:"authorization" tf:"optional"`
	// Enable/disable SSL certificate validation. Default is true. For
	// self-signed certificates, this field must be false AND the destination
	// server must disable certificate validation as well. For security
	// purposes, it is encouraged to perform secret validation with the
	// HMAC-encoded portion of the payload and acknowledge the risk associated
	// with disabling hostname validation whereby it becomes more likely that
	// requests can be maliciously routed to an unintended host.
	EnableSslVerification types.Bool `tfsdk:"enable_ssl_verification" tf:"optional"`
	// Shared secret required for HMAC encoding payload. The HMAC-encoded
	// payload will be sent in the header as: { "X-Databricks-Signature":
	// $encoded_payload }.
	Secret types.String `tfsdk:"secret" tf:"optional"`
	// External HTTPS URL called on event trigger (by using a POST request).
	Url types.String `tfsdk:"url" tf:""`
}

func (*HttpUrlSpec) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *HttpUrlSpec) SyncEffectiveFieldsDuringCreateOrUpdate(plan HttpUrlSpec)

func (*HttpUrlSpec) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *HttpUrlSpec) SyncEffectiveFieldsDuringRead(existingState HttpUrlSpec)

type HttpUrlSpecWithoutSecret 

type HttpUrlSpecWithoutSecret struct {
	// Enable/disable SSL certificate validation. Default is true. For
	// self-signed certificates, this field must be false AND the destination
	// server must disable certificate validation as well. For security
	// purposes, it is encouraged to perform secret validation with the
	// HMAC-encoded portion of the payload and acknowledge the risk associated
	// with disabling hostname validation whereby it becomes more likely that
	// requests can be maliciously routed to an unintended host.
	EnableSslVerification types.Bool `tfsdk:"enable_ssl_verification" tf:"optional"`
	// External HTTPS URL called on event trigger (by using a POST request).
	Url types.String `tfsdk:"url" tf:"optional"`
}

func (*HttpUrlSpecWithoutSecret) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *HttpUrlSpecWithoutSecret) SyncEffectiveFieldsDuringCreateOrUpdate(plan HttpUrlSpecWithoutSecret)

func (*HttpUrlSpecWithoutSecret) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *HttpUrlSpecWithoutSecret) SyncEffectiveFieldsDuringRead(existingState HttpUrlSpecWithoutSecret)

type InputTag 

type InputTag struct {
	// The tag key.
	Key types.String `tfsdk:"key" tf:"optional"`
	// The tag value.
	Value types.String `tfsdk:"value" tf:"optional"`
}

func (*InputTag) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *InputTag) SyncEffectiveFieldsDuringCreateOrUpdate(plan InputTag)

func (*InputTag) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *InputTag) SyncEffectiveFieldsDuringRead(existingState InputTag)

type JobSpec 

type JobSpec struct {
	// The personal access token used to authorize webhook's job runs.
	AccessToken types.String `tfsdk:"access_token" tf:""`
	// ID of the job that the webhook runs.
	JobId types.String `tfsdk:"job_id" tf:""`
	// URL of the workspace containing the job that this webhook runs. If not
	// specified, the job’s workspace URL is assumed to be the same as the
	// workspace where the webhook is created.
	WorkspaceUrl types.String `tfsdk:"workspace_url" tf:"optional"`
}

func (*JobSpec) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *JobSpec) SyncEffectiveFieldsDuringCreateOrUpdate(plan JobSpec)

func (*JobSpec) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *JobSpec) SyncEffectiveFieldsDuringRead(existingState JobSpec)

type JobSpecWithoutSecret 

type JobSpecWithoutSecret struct {
	// ID of the job that the webhook runs.
	JobId types.String `tfsdk:"job_id" tf:"optional"`
	// URL of the workspace containing the job that this webhook runs. Defaults
	// to the workspace URL in which the webhook is created. If not specified,
	// the job’s workspace is assumed to be the same as the webhook’s.
	WorkspaceUrl types.String `tfsdk:"workspace_url" tf:"optional"`
}

func (*JobSpecWithoutSecret) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *JobSpecWithoutSecret) SyncEffectiveFieldsDuringCreateOrUpdate(plan JobSpecWithoutSecret)

func (*JobSpecWithoutSecret) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *JobSpecWithoutSecret) SyncEffectiveFieldsDuringRead(existingState JobSpecWithoutSecret)

type ListArtifactsRequest 

type ListArtifactsRequest struct {
	// Token indicating the page of artifact results to fetch. `page_token` is
	// not supported when listing artifacts in UC Volumes. A maximum of 1000
	// artifacts will be retrieved for UC Volumes. Please call
	// `/api/2.0/fs/directories{directory_path}` for listing artifacts in UC
	// Volumes, which supports pagination. See [List directory contents | Files
	// API](/api/workspace/files/listdirectorycontents).
	PageToken types.String `tfsdk:"-"`
	// Filter artifacts matching this path (a relative path from the root
	// artifact directory).
	Path types.String `tfsdk:"-"`
	// ID of the run whose artifacts to list. Must be provided.
	RunId types.String `tfsdk:"-"`
	// [Deprecated, use run_id instead] ID of the run whose artifacts to list.
	// This field will be removed in a future MLflow version.
	RunUuid types.String `tfsdk:"-"`
}

Get all artifacts

func (*ListArtifactsRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ListArtifactsRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan ListArtifactsRequest)

func (*ListArtifactsRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ListArtifactsRequest) SyncEffectiveFieldsDuringRead(existingState ListArtifactsRequest)

type ListArtifactsResponse 

type ListArtifactsResponse struct {
	// File location and metadata for artifacts.
	Files []FileInfo `tfsdk:"files" tf:"optional"`
	// Token that can be used to retrieve the next page of artifact results
	NextPageToken types.String `tfsdk:"next_page_token" tf:"optional"`
	// Root artifact directory for the run.
	RootUri types.String `tfsdk:"root_uri" tf:"optional"`
}

func (*ListArtifactsResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ListArtifactsResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan ListArtifactsResponse)

func (*ListArtifactsResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ListArtifactsResponse) SyncEffectiveFieldsDuringRead(existingState ListArtifactsResponse)

type ListExperimentsRequest 

type ListExperimentsRequest struct {
	// Maximum number of experiments desired. If `max_results` is unspecified,
	// return all experiments. If `max_results` is too large, it'll be
	// automatically capped at 1000. Callers of this endpoint are encouraged to
	// pass max_results explicitly and leverage page_token to iterate through
	// experiments.
	MaxResults types.Int64 `tfsdk:"-"`
	// Token indicating the page of experiments to fetch
	PageToken types.String `tfsdk:"-"`
	// Qualifier for type of experiments to be returned. If unspecified, return
	// only active experiments.
	ViewType types.String `tfsdk:"-"`
}

List experiments

func (*ListExperimentsRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ListExperimentsRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan ListExperimentsRequest)

func (*ListExperimentsRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ListExperimentsRequest) SyncEffectiveFieldsDuringRead(existingState ListExperimentsRequest)

type ListExperimentsResponse 

type ListExperimentsResponse struct {
	// Paginated Experiments beginning with the first item on the requested
	// page.
	Experiments []Experiment `tfsdk:"experiments" tf:"optional"`
	// Token that can be used to retrieve the next page of experiments. Empty
	// token means no more experiment is available for retrieval.
	NextPageToken types.String `tfsdk:"next_page_token" tf:"optional"`
}

func (*ListExperimentsResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ListExperimentsResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan ListExperimentsResponse)

func (*ListExperimentsResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ListExperimentsResponse) SyncEffectiveFieldsDuringRead(existingState ListExperimentsResponse)

type ListModelsRequest 

type ListModelsRequest struct {
	// Maximum number of registered models desired. Max threshold is 1000.
	MaxResults types.Int64 `tfsdk:"-"`
	// Pagination token to go to the next page based on a previous query.
	PageToken types.String `tfsdk:"-"`
}

List models

func (*ListModelsRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ListModelsRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan ListModelsRequest)

func (*ListModelsRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ListModelsRequest) SyncEffectiveFieldsDuringRead(existingState ListModelsRequest)

type ListModelsResponse 

type ListModelsResponse struct {
	// Pagination token to request next page of models for the same query.
	NextPageToken types.String `tfsdk:"next_page_token" tf:"optional"`

	RegisteredModels []Model `tfsdk:"registered_models" tf:"optional"`
}

func (*ListModelsResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ListModelsResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan ListModelsResponse)

func (*ListModelsResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ListModelsResponse) SyncEffectiveFieldsDuringRead(existingState ListModelsResponse)

type ListRegistryWebhooks 

type ListRegistryWebhooks struct {
	// Token that can be used to retrieve the next page of artifact results
	NextPageToken types.String `tfsdk:"next_page_token" tf:"optional"`
	// Array of registry webhooks.
	Webhooks []RegistryWebhook `tfsdk:"webhooks" tf:"optional"`
}

func (*ListRegistryWebhooks) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ListRegistryWebhooks) SyncEffectiveFieldsDuringCreateOrUpdate(plan ListRegistryWebhooks)

func (*ListRegistryWebhooks) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ListRegistryWebhooks) SyncEffectiveFieldsDuringRead(existingState ListRegistryWebhooks)

type ListTransitionRequestsRequest 

type ListTransitionRequestsRequest struct {
	// Name of the model.
	Name types.String `tfsdk:"-"`
	// Version of the model.
	Version types.String `tfsdk:"-"`
}

List transition requests

func (*ListTransitionRequestsRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ListTransitionRequestsRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan ListTransitionRequestsRequest)

func (*ListTransitionRequestsRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ListTransitionRequestsRequest) SyncEffectiveFieldsDuringRead(existingState ListTransitionRequestsRequest)

type ListTransitionRequestsResponse 

type ListTransitionRequestsResponse struct {
	// Array of open transition requests.
	Requests []Activity `tfsdk:"requests" tf:"optional"`
}

func (*ListTransitionRequestsResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ListTransitionRequestsResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan ListTransitionRequestsResponse)

func (*ListTransitionRequestsResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ListTransitionRequestsResponse) SyncEffectiveFieldsDuringRead(existingState ListTransitionRequestsResponse)

type ListWebhooksRequest 

type ListWebhooksRequest struct {
	// If `events` is specified, any webhook with one or more of the specified
	// trigger events is included in the output. If `events` is not specified,
	// webhooks of all event types are included in the output.
	Events []types.String `tfsdk:"-"`
	// If not specified, all webhooks associated with the specified events are
	// listed, regardless of their associated model.
	ModelName types.String `tfsdk:"-"`
	// Token indicating the page of artifact results to fetch
	PageToken types.String `tfsdk:"-"`
}

List registry webhooks

func (*ListWebhooksRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ListWebhooksRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan ListWebhooksRequest)

func (*ListWebhooksRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ListWebhooksRequest) SyncEffectiveFieldsDuringRead(existingState ListWebhooksRequest)

type LogBatch 

type LogBatch struct {
	// Metrics to log. A single request can contain up to 1000 metrics, and up
	// to 1000 metrics, params, and tags in total.
	Metrics []Metric `tfsdk:"metrics" tf:"optional"`
	// Params to log. A single request can contain up to 100 params, and up to
	// 1000 metrics, params, and tags in total.
	Params []Param `tfsdk:"params" tf:"optional"`
	// ID of the run to log under
	RunId types.String `tfsdk:"run_id" tf:"optional"`
	// Tags to log. A single request can contain up to 100 tags, and up to 1000
	// metrics, params, and tags in total.
	Tags []RunTag `tfsdk:"tags" tf:"optional"`
}

func (*LogBatch) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *LogBatch) SyncEffectiveFieldsDuringCreateOrUpdate(plan LogBatch)

func (*LogBatch) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *LogBatch) SyncEffectiveFieldsDuringRead(existingState LogBatch)

type LogBatchResponse 

type LogBatchResponse struct {
}

func (*LogBatchResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *LogBatchResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan LogBatchResponse)

func (*LogBatchResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *LogBatchResponse) SyncEffectiveFieldsDuringRead(existingState LogBatchResponse)

type LogInputs 

type LogInputs struct {
	// Dataset inputs
	Datasets []DatasetInput `tfsdk:"datasets" tf:"optional"`
	// ID of the run to log under
	RunId types.String `tfsdk:"run_id" tf:"optional"`
}

func (*LogInputs) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *LogInputs) SyncEffectiveFieldsDuringCreateOrUpdate(plan LogInputs)

func (*LogInputs) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *LogInputs) SyncEffectiveFieldsDuringRead(existingState LogInputs)

type LogInputsResponse 

type LogInputsResponse struct {
}

func (*LogInputsResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *LogInputsResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan LogInputsResponse)

func (*LogInputsResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *LogInputsResponse) SyncEffectiveFieldsDuringRead(existingState LogInputsResponse)

type LogMetric 

type LogMetric struct {
	// Name of the metric.
	Key types.String `tfsdk:"key" tf:""`
	// ID of the run under which to log the metric. Must be provided.
	RunId types.String `tfsdk:"run_id" tf:"optional"`
	// [Deprecated, use run_id instead] ID of the run under which to log the
	// metric. This field will be removed in a future MLflow version.
	RunUuid types.String `tfsdk:"run_uuid" tf:"optional"`
	// Step at which to log the metric
	Step types.Int64 `tfsdk:"step" tf:"optional"`
	// Unix timestamp in milliseconds at the time metric was logged.
	Timestamp types.Int64 `tfsdk:"timestamp" tf:""`
	// Double value of the metric being logged.
	Value types.Float64 `tfsdk:"value" tf:""`
}

func (*LogMetric) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *LogMetric) SyncEffectiveFieldsDuringCreateOrUpdate(plan LogMetric)

func (*LogMetric) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *LogMetric) SyncEffectiveFieldsDuringRead(existingState LogMetric)

type LogMetricResponse 

type LogMetricResponse struct {
}

func (*LogMetricResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *LogMetricResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan LogMetricResponse)

func (*LogMetricResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *LogMetricResponse) SyncEffectiveFieldsDuringRead(existingState LogMetricResponse)

type LogModel 

type LogModel struct {
	// MLmodel file in json format.
	ModelJson types.String `tfsdk:"model_json" tf:"optional"`
	// ID of the run to log under
	RunId types.String `tfsdk:"run_id" tf:"optional"`
}

func (*LogModel) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *LogModel) SyncEffectiveFieldsDuringCreateOrUpdate(plan LogModel)

func (*LogModel) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *LogModel) SyncEffectiveFieldsDuringRead(existingState LogModel)

type LogModelResponse 

type LogModelResponse struct {
}

func (*LogModelResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *LogModelResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan LogModelResponse)

func (*LogModelResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *LogModelResponse) SyncEffectiveFieldsDuringRead(existingState LogModelResponse)

type LogParam 

type LogParam struct {
	// Name of the param. Maximum size is 255 bytes.
	Key types.String `tfsdk:"key" tf:""`
	// ID of the run under which to log the param. Must be provided.
	RunId types.String `tfsdk:"run_id" tf:"optional"`
	// [Deprecated, use run_id instead] ID of the run under which to log the
	// param. This field will be removed in a future MLflow version.
	RunUuid types.String `tfsdk:"run_uuid" tf:"optional"`
	// String value of the param being logged. Maximum size is 500 bytes.
	Value types.String `tfsdk:"value" tf:""`
}

func (*LogParam) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *LogParam) SyncEffectiveFieldsDuringCreateOrUpdate(plan LogParam)

func (*LogParam) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *LogParam) SyncEffectiveFieldsDuringRead(existingState LogParam)

type LogParamResponse 

type LogParamResponse struct {
}

func (*LogParamResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *LogParamResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan LogParamResponse)

func (*LogParamResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *LogParamResponse) SyncEffectiveFieldsDuringRead(existingState LogParamResponse)

type Metric 

type Metric struct {
	// Key identifying this metric.
	Key types.String `tfsdk:"key" tf:"optional"`
	// Step at which to log the metric.
	Step types.Int64 `tfsdk:"step" tf:"optional"`
	// The timestamp at which this metric was recorded.
	Timestamp types.Int64 `tfsdk:"timestamp" tf:"optional"`
	// Value associated with this metric.
	Value types.Float64 `tfsdk:"value" tf:"optional"`
}

func (*Metric) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *Metric) SyncEffectiveFieldsDuringCreateOrUpdate(plan Metric)

func (*Metric) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *Metric) SyncEffectiveFieldsDuringRead(existingState Metric)

type Model 

type Model struct {
	// Timestamp recorded when this `registered_model` was created.
	CreationTimestamp types.Int64 `tfsdk:"creation_timestamp" tf:"optional"`
	// Description of this `registered_model`.
	Description types.String `tfsdk:"description" tf:"optional"`
	// Timestamp recorded when metadata for this `registered_model` was last
	// updated.
	LastUpdatedTimestamp types.Int64 `tfsdk:"last_updated_timestamp" tf:"optional"`
	// Collection of latest model versions for each stage. Only contains models
	// with current `READY` status.
	LatestVersions []ModelVersion `tfsdk:"latest_versions" tf:"optional"`
	// Unique name for the model.
	Name types.String `tfsdk:"name" tf:"optional"`
	// Tags: Additional metadata key-value pairs for this `registered_model`.
	Tags []ModelTag `tfsdk:"tags" tf:"optional"`
	// User that created this `registered_model`
	UserId types.String `tfsdk:"user_id" tf:"optional"`
}

func (*Model) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *Model) SyncEffectiveFieldsDuringCreateOrUpdate(plan Model)

func (*Model) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *Model) SyncEffectiveFieldsDuringRead(existingState Model)

type ModelDatabricks 

type ModelDatabricks struct {
	// Creation time of the object, as a Unix timestamp in milliseconds.
	CreationTimestamp types.Int64 `tfsdk:"creation_timestamp" tf:"optional"`
	// User-specified description for the object.
	Description types.String `tfsdk:"description" tf:"optional"`
	// Unique identifier for the object.
	Id types.String `tfsdk:"id" tf:"optional"`
	// Time of the object at last update, as a Unix timestamp in milliseconds.
	LastUpdatedTimestamp types.Int64 `tfsdk:"last_updated_timestamp" tf:"optional"`
	// Array of model versions, each the latest version for its stage.
	LatestVersions []ModelVersion `tfsdk:"latest_versions" tf:"optional"`
	// Name of the model.
	Name types.String `tfsdk:"name" tf:"optional"`
	// Permission level of the requesting user on the object. For what is
	// allowed at each level, see [MLflow Model permissions](..).
	PermissionLevel types.String `tfsdk:"permission_level" tf:"optional"`
	// Array of tags associated with the model.
	Tags []ModelTag `tfsdk:"tags" tf:"optional"`
	// The username of the user that created the object.
	UserId types.String `tfsdk:"user_id" tf:"optional"`
}

func (*ModelDatabricks) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ModelDatabricks) SyncEffectiveFieldsDuringCreateOrUpdate(plan ModelDatabricks)

func (*ModelDatabricks) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ModelDatabricks) SyncEffectiveFieldsDuringRead(existingState ModelDatabricks)

type ModelTag 

type ModelTag struct {
	// The tag key.
	Key types.String `tfsdk:"key" tf:"optional"`
	// The tag value.
	Value types.String `tfsdk:"value" tf:"optional"`
}

func (*ModelTag) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ModelTag) SyncEffectiveFieldsDuringCreateOrUpdate(plan ModelTag)

func (*ModelTag) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ModelTag) SyncEffectiveFieldsDuringRead(existingState ModelTag)

type ModelVersion 

type ModelVersion struct {
	// Timestamp recorded when this `model_version` was created.
	CreationTimestamp types.Int64 `tfsdk:"creation_timestamp" tf:"optional"`
	// Current stage for this `model_version`.
	CurrentStage types.String `tfsdk:"current_stage" tf:"optional"`
	// Description of this `model_version`.
	Description types.String `tfsdk:"description" tf:"optional"`
	// Timestamp recorded when metadata for this `model_version` was last
	// updated.
	LastUpdatedTimestamp types.Int64 `tfsdk:"last_updated_timestamp" tf:"optional"`
	// Unique name of the model
	Name types.String `tfsdk:"name" tf:"optional"`
	// MLflow run ID used when creating `model_version`, if `source` was
	// generated by an experiment run stored in MLflow tracking server.
	RunId types.String `tfsdk:"run_id" tf:"optional"`
	// Run Link: Direct link to the run that generated this version
	RunLink types.String `tfsdk:"run_link" tf:"optional"`
	// URI indicating the location of the source model artifacts, used when
	// creating `model_version`
	Source types.String `tfsdk:"source" tf:"optional"`
	// Current status of `model_version`
	Status types.String `tfsdk:"status" tf:"optional"`
	// Details on current `status`, if it is pending or failed.
	StatusMessage types.String `tfsdk:"status_message" tf:"optional"`
	// Tags: Additional metadata key-value pairs for this `model_version`.
	Tags []ModelVersionTag `tfsdk:"tags" tf:"optional"`
	// User that created this `model_version`.
	UserId types.String `tfsdk:"user_id" tf:"optional"`
	// Model's version number.
	Version types.String `tfsdk:"version" tf:"optional"`
}

func (*ModelVersion) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ModelVersion) SyncEffectiveFieldsDuringCreateOrUpdate(plan ModelVersion)

func (*ModelVersion) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ModelVersion) SyncEffectiveFieldsDuringRead(existingState ModelVersion)

type ModelVersionDatabricks 

type ModelVersionDatabricks struct {
	// Creation time of the object, as a Unix timestamp in milliseconds.
	CreationTimestamp types.Int64 `tfsdk:"creation_timestamp" tf:"optional"`
	// Stage of the model version. Valid values are:
	//
	// * `None`: The initial stage of a model version.
	//
	// * `Staging`: Staging or pre-production stage.
	//
	// * `Production`: Production stage.
	//
	// * `Archived`: Archived stage.
	CurrentStage types.String `tfsdk:"current_stage" tf:"optional"`
	// User-specified description for the object.
	Description types.String `tfsdk:"description" tf:"optional"`
	// Time of the object at last update, as a Unix timestamp in milliseconds.
	LastUpdatedTimestamp types.Int64 `tfsdk:"last_updated_timestamp" tf:"optional"`
	// Name of the model.
	Name types.String `tfsdk:"name" tf:"optional"`
	// Permission level of the requesting user on the object. For what is
	// allowed at each level, see [MLflow Model permissions](..).
	PermissionLevel types.String `tfsdk:"permission_level" tf:"optional"`
	// Unique identifier for the MLflow tracking run associated with the source
	// model artifacts.
	RunId types.String `tfsdk:"run_id" tf:"optional"`
	// URL of the run associated with the model artifacts. This field is set at
	// model version creation time only for model versions whose source run is
	// from a tracking server that is different from the registry server.
	RunLink types.String `tfsdk:"run_link" tf:"optional"`
	// URI that indicates the location of the source model artifacts. This is
	// used when creating the model version.
	Source types.String `tfsdk:"source" tf:"optional"`
	// The status of the model version. Valid values are: *
	// `PENDING_REGISTRATION`: Request to register a new model version is
	// pending as server performs background tasks.
	//
	// * `FAILED_REGISTRATION`: Request to register a new model version has
	// failed.
	//
	// * `READY`: Model version is ready for use.
	Status types.String `tfsdk:"status" tf:"optional"`
	// Details on the current status, for example why registration failed.
	StatusMessage types.String `tfsdk:"status_message" tf:"optional"`
	// Array of tags that are associated with the model version.
	Tags []ModelVersionTag `tfsdk:"tags" tf:"optional"`
	// The username of the user that created the object.
	UserId types.String `tfsdk:"user_id" tf:"optional"`
	// Version of the model.
	Version types.String `tfsdk:"version" tf:"optional"`
}

func (*ModelVersionDatabricks) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ModelVersionDatabricks) SyncEffectiveFieldsDuringCreateOrUpdate(plan ModelVersionDatabricks)

func (*ModelVersionDatabricks) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ModelVersionDatabricks) SyncEffectiveFieldsDuringRead(existingState ModelVersionDatabricks)

type ModelVersionTag 

type ModelVersionTag struct {
	// The tag key.
	Key types.String `tfsdk:"key" tf:"optional"`
	// The tag value.
	Value types.String `tfsdk:"value" tf:"optional"`
}

func (*ModelVersionTag) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *ModelVersionTag) SyncEffectiveFieldsDuringCreateOrUpdate(plan ModelVersionTag)

func (*ModelVersionTag) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *ModelVersionTag) SyncEffectiveFieldsDuringRead(existingState ModelVersionTag)

type Param 

type Param struct {
	// Key identifying this param.
	Key types.String `tfsdk:"key" tf:"optional"`
	// Value associated with this param.
	Value types.String `tfsdk:"value" tf:"optional"`
}

func (*Param) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *Param) SyncEffectiveFieldsDuringCreateOrUpdate(plan Param)

func (*Param) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *Param) SyncEffectiveFieldsDuringRead(existingState Param)

type RegisteredModelAccessControlRequest 

type RegisteredModelAccessControlRequest struct {
	// name of the group
	GroupName types.String `tfsdk:"group_name" tf:"optional"`
	// Permission level
	PermissionLevel types.String `tfsdk:"permission_level" tf:"optional"`
	// application ID of a service principal
	ServicePrincipalName types.String `tfsdk:"service_principal_name" tf:"optional"`
	// name of the user
	UserName types.String `tfsdk:"user_name" tf:"optional"`
}

func (*RegisteredModelAccessControlRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RegisteredModelAccessControlRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan RegisteredModelAccessControlRequest)

func (*RegisteredModelAccessControlRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RegisteredModelAccessControlRequest) SyncEffectiveFieldsDuringRead(existingState RegisteredModelAccessControlRequest)

type RegisteredModelAccessControlResponse 

type RegisteredModelAccessControlResponse struct {
	// All permissions.
	AllPermissions []RegisteredModelPermission `tfsdk:"all_permissions" tf:"optional"`
	// Display name of the user or service principal.
	DisplayName types.String `tfsdk:"display_name" tf:"optional"`
	// name of the group
	GroupName types.String `tfsdk:"group_name" tf:"optional"`
	// Name of the service principal.
	ServicePrincipalName types.String `tfsdk:"service_principal_name" tf:"optional"`
	// name of the user
	UserName types.String `tfsdk:"user_name" tf:"optional"`
}

func (*RegisteredModelAccessControlResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RegisteredModelAccessControlResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan RegisteredModelAccessControlResponse)

func (*RegisteredModelAccessControlResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RegisteredModelAccessControlResponse) SyncEffectiveFieldsDuringRead(existingState RegisteredModelAccessControlResponse)

type RegisteredModelPermission 

type RegisteredModelPermission struct {
	Inherited types.Bool `tfsdk:"inherited" tf:"optional"`

	InheritedFromObject []types.String `tfsdk:"inherited_from_object" tf:"optional"`
	// Permission level
	PermissionLevel types.String `tfsdk:"permission_level" tf:"optional"`
}

func (*RegisteredModelPermission) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RegisteredModelPermission) SyncEffectiveFieldsDuringCreateOrUpdate(plan RegisteredModelPermission)

func (*RegisteredModelPermission) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RegisteredModelPermission) SyncEffectiveFieldsDuringRead(existingState RegisteredModelPermission)

type RegisteredModelPermissions 

type RegisteredModelPermissions struct {
	AccessControlList []RegisteredModelAccessControlResponse `tfsdk:"access_control_list" tf:"optional"`

	ObjectId types.String `tfsdk:"object_id" tf:"optional"`

	ObjectType types.String `tfsdk:"object_type" tf:"optional"`
}

func (*RegisteredModelPermissions) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RegisteredModelPermissions) SyncEffectiveFieldsDuringCreateOrUpdate(plan RegisteredModelPermissions)

func (*RegisteredModelPermissions) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RegisteredModelPermissions) SyncEffectiveFieldsDuringRead(existingState RegisteredModelPermissions)

type RegisteredModelPermissionsDescription 

type RegisteredModelPermissionsDescription struct {
	Description types.String `tfsdk:"description" tf:"optional"`
	// Permission level
	PermissionLevel types.String `tfsdk:"permission_level" tf:"optional"`
}

func (*RegisteredModelPermissionsDescription) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RegisteredModelPermissionsDescription) SyncEffectiveFieldsDuringCreateOrUpdate(plan RegisteredModelPermissionsDescription)

func (*RegisteredModelPermissionsDescription) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RegisteredModelPermissionsDescription) SyncEffectiveFieldsDuringRead(existingState RegisteredModelPermissionsDescription)

type RegisteredModelPermissionsRequest 

type RegisteredModelPermissionsRequest struct {
	AccessControlList []RegisteredModelAccessControlRequest `tfsdk:"access_control_list" tf:"optional"`
	// The registered model for which to get or manage permissions.
	RegisteredModelId types.String `tfsdk:"-"`
}

func (*RegisteredModelPermissionsRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RegisteredModelPermissionsRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan RegisteredModelPermissionsRequest)

func (*RegisteredModelPermissionsRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RegisteredModelPermissionsRequest) SyncEffectiveFieldsDuringRead(existingState RegisteredModelPermissionsRequest)

type RegistryWebhook 

type RegistryWebhook struct {
	// Creation time of the object, as a Unix timestamp in milliseconds.
	CreationTimestamp types.Int64 `tfsdk:"creation_timestamp" tf:"optional"`
	// User-specified description for the webhook.
	Description types.String `tfsdk:"description" tf:"optional"`
	// Events that can trigger a registry webhook: * `MODEL_VERSION_CREATED`: A
	// new model version was created for the associated model.
	//
	// * `MODEL_VERSION_TRANSITIONED_STAGE`: A model version’s stage was
	// changed.
	//
	// * `TRANSITION_REQUEST_CREATED`: A user requested a model version’s
	// stage be transitioned.
	//
	// * `COMMENT_CREATED`: A user wrote a comment on a registered model.
	//
	// * `REGISTERED_MODEL_CREATED`: A new registered model was created. This
	// event type can only be specified for a registry-wide webhook, which can
	// be created by not specifying a model name in the create request.
	//
	// * `MODEL_VERSION_TAG_SET`: A user set a tag on the model version.
	//
	// * `MODEL_VERSION_TRANSITIONED_TO_STAGING`: A model version was
	// transitioned to staging.
	//
	// * `MODEL_VERSION_TRANSITIONED_TO_PRODUCTION`: A model version was
	// transitioned to production.
	//
	// * `MODEL_VERSION_TRANSITIONED_TO_ARCHIVED`: A model version was archived.
	//
	// * `TRANSITION_REQUEST_TO_STAGING_CREATED`: A user requested a model
	// version be transitioned to staging.
	//
	// * `TRANSITION_REQUEST_TO_PRODUCTION_CREATED`: A user requested a model
	// version be transitioned to production.
	//
	// * `TRANSITION_REQUEST_TO_ARCHIVED_CREATED`: A user requested a model
	// version be archived.
	Events []types.String `tfsdk:"events" tf:"optional"`

	HttpUrlSpec []HttpUrlSpecWithoutSecret `tfsdk:"http_url_spec" tf:"optional,object"`
	// Webhook ID
	Id types.String `tfsdk:"id" tf:"optional"`

	JobSpec []JobSpecWithoutSecret `tfsdk:"job_spec" tf:"optional,object"`
	// Time of the object at last update, as a Unix timestamp in milliseconds.
	LastUpdatedTimestamp types.Int64 `tfsdk:"last_updated_timestamp" tf:"optional"`
	// Name of the model whose events would trigger this webhook.
	ModelName types.String `tfsdk:"model_name" tf:"optional"`
	// Enable or disable triggering the webhook, or put the webhook into test
	// mode. The default is `ACTIVE`: * `ACTIVE`: Webhook is triggered when an
	// associated event happens.
	//
	// * `DISABLED`: Webhook is not triggered.
	//
	// * `TEST_MODE`: Webhook can be triggered through the test endpoint, but is
	// not triggered on a real event.
	Status types.String `tfsdk:"status" tf:"optional"`
}

func (*RegistryWebhook) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RegistryWebhook) SyncEffectiveFieldsDuringCreateOrUpdate(plan RegistryWebhook)

func (*RegistryWebhook) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RegistryWebhook) SyncEffectiveFieldsDuringRead(existingState RegistryWebhook)

type RejectTransitionRequest 

type RejectTransitionRequest struct {
	// User-provided comment on the action.
	Comment types.String `tfsdk:"comment" tf:"optional"`
	// Name of the model.
	Name types.String `tfsdk:"name" tf:""`
	// Target stage of the transition. Valid values are:
	//
	// * `None`: The initial stage of a model version.
	//
	// * `Staging`: Staging or pre-production stage.
	//
	// * `Production`: Production stage.
	//
	// * `Archived`: Archived stage.
	Stage types.String `tfsdk:"stage" tf:""`
	// Version of the model.
	Version types.String `tfsdk:"version" tf:""`
}

func (*RejectTransitionRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RejectTransitionRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan RejectTransitionRequest)

func (*RejectTransitionRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RejectTransitionRequest) SyncEffectiveFieldsDuringRead(existingState RejectTransitionRequest)

type RejectTransitionRequestResponse 

type RejectTransitionRequestResponse struct {
	// Activity recorded for the action.
	Activity []Activity `tfsdk:"activity" tf:"optional,object"`
}

func (*RejectTransitionRequestResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RejectTransitionRequestResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan RejectTransitionRequestResponse)

func (*RejectTransitionRequestResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RejectTransitionRequestResponse) SyncEffectiveFieldsDuringRead(existingState RejectTransitionRequestResponse)

type RenameModelRequest 

type RenameModelRequest struct {
	// Registered model unique name identifier.
	Name types.String `tfsdk:"name" tf:""`
	// If provided, updates the name for this `registered_model`.
	NewName types.String `tfsdk:"new_name" tf:"optional"`
}

func (*RenameModelRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RenameModelRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan RenameModelRequest)

func (*RenameModelRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RenameModelRequest) SyncEffectiveFieldsDuringRead(existingState RenameModelRequest)

type RenameModelResponse 

type RenameModelResponse struct {
	RegisteredModel []Model `tfsdk:"registered_model" tf:"optional,object"`
}

func (*RenameModelResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RenameModelResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan RenameModelResponse)

func (*RenameModelResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RenameModelResponse) SyncEffectiveFieldsDuringRead(existingState RenameModelResponse)

type RestoreExperiment 

type RestoreExperiment struct {
	// ID of the associated experiment.
	ExperimentId types.String `tfsdk:"experiment_id" tf:""`
}

func (*RestoreExperiment) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RestoreExperiment) SyncEffectiveFieldsDuringCreateOrUpdate(plan RestoreExperiment)

func (*RestoreExperiment) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RestoreExperiment) SyncEffectiveFieldsDuringRead(existingState RestoreExperiment)

type RestoreExperimentResponse 

type RestoreExperimentResponse struct {
}

func (*RestoreExperimentResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RestoreExperimentResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan RestoreExperimentResponse)

func (*RestoreExperimentResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RestoreExperimentResponse) SyncEffectiveFieldsDuringRead(existingState RestoreExperimentResponse)

type RestoreRun 

type RestoreRun struct {
	// ID of the run to restore.
	RunId types.String `tfsdk:"run_id" tf:""`
}

func (*RestoreRun) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RestoreRun) SyncEffectiveFieldsDuringCreateOrUpdate(plan RestoreRun)

func (*RestoreRun) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RestoreRun) SyncEffectiveFieldsDuringRead(existingState RestoreRun)

type RestoreRunResponse 

type RestoreRunResponse struct {
}

func (*RestoreRunResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RestoreRunResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan RestoreRunResponse)

func (*RestoreRunResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RestoreRunResponse) SyncEffectiveFieldsDuringRead(existingState RestoreRunResponse)

type RestoreRuns 

type RestoreRuns struct {
	// The ID of the experiment containing the runs to restore.
	ExperimentId types.String `tfsdk:"experiment_id" tf:""`
	// An optional positive integer indicating the maximum number of runs to
	// restore. The maximum allowed value for max_runs is 10000.
	MaxRuns types.Int64 `tfsdk:"max_runs" tf:"optional"`
	// The minimum deletion timestamp in milliseconds since the UNIX epoch for
	// restoring runs. Only runs deleted no earlier than this timestamp are
	// restored.
	MinTimestampMillis types.Int64 `tfsdk:"min_timestamp_millis" tf:""`
}

func (*RestoreRuns) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RestoreRuns) SyncEffectiveFieldsDuringCreateOrUpdate(plan RestoreRuns)

func (*RestoreRuns) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RestoreRuns) SyncEffectiveFieldsDuringRead(existingState RestoreRuns)

type RestoreRunsResponse 

type RestoreRunsResponse struct {
	// The number of runs restored.
	RunsRestored types.Int64 `tfsdk:"runs_restored" tf:"optional"`
}

func (*RestoreRunsResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RestoreRunsResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan RestoreRunsResponse)

func (*RestoreRunsResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RestoreRunsResponse) SyncEffectiveFieldsDuringRead(existingState RestoreRunsResponse)

type Run 

type Run struct {
	// Run data.
	Data []RunData `tfsdk:"data" tf:"optional,object"`
	// Run metadata.
	Info []RunInfo `tfsdk:"info" tf:"optional,object"`
	// Run inputs.
	Inputs []RunInputs `tfsdk:"inputs" tf:"optional,object"`
}

func (*Run) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *Run) SyncEffectiveFieldsDuringCreateOrUpdate(plan Run)

func (*Run) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *Run) SyncEffectiveFieldsDuringRead(existingState Run)

type RunData 

type RunData struct {
	// Run metrics.
	Metrics []Metric `tfsdk:"metrics" tf:"optional"`
	// Run parameters.
	Params []Param `tfsdk:"params" tf:"optional"`
	// Additional metadata key-value pairs.
	Tags []RunTag `tfsdk:"tags" tf:"optional"`
}

func (*RunData) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RunData) SyncEffectiveFieldsDuringCreateOrUpdate(plan RunData)

func (*RunData) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RunData) SyncEffectiveFieldsDuringRead(existingState RunData)

type RunInfo 

type RunInfo struct {
	// URI of the directory where artifacts should be uploaded. This can be a
	// local path (starting with "/"), or a distributed file system (DFS) path,
	// like `s3://bucket/directory` or `dbfs:/my/directory`. If not set, the
	// local `./mlruns` directory is chosen.
	ArtifactUri types.String `tfsdk:"artifact_uri" tf:"optional"`
	// Unix timestamp of when the run ended in milliseconds.
	EndTime types.Int64 `tfsdk:"end_time" tf:"optional"`
	// The experiment ID.
	ExperimentId types.String `tfsdk:"experiment_id" tf:"optional"`
	// Current life cycle stage of the experiment : OneOf("active", "deleted")
	LifecycleStage types.String `tfsdk:"lifecycle_stage" tf:"optional"`
	// Unique identifier for the run.
	RunId types.String `tfsdk:"run_id" tf:"optional"`
	// [Deprecated, use run_id instead] Unique identifier for the run. This
	// field will be removed in a future MLflow version.
	RunUuid types.String `tfsdk:"run_uuid" tf:"optional"`
	// Unix timestamp of when the run started in milliseconds.
	StartTime types.Int64 `tfsdk:"start_time" tf:"optional"`
	// Current status of the run.
	Status types.String `tfsdk:"status" tf:"optional"`
	// User who initiated the run. This field is deprecated as of MLflow 1.0,
	// and will be removed in a future MLflow release. Use 'mlflow.user' tag
	// instead.
	UserId types.String `tfsdk:"user_id" tf:"optional"`
}

func (*RunInfo) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RunInfo) SyncEffectiveFieldsDuringCreateOrUpdate(plan RunInfo)

func (*RunInfo) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RunInfo) SyncEffectiveFieldsDuringRead(existingState RunInfo)

type RunInputs 

type RunInputs struct {
	// Run metrics.
	DatasetInputs []DatasetInput `tfsdk:"dataset_inputs" tf:"optional"`
}

func (*RunInputs) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RunInputs) SyncEffectiveFieldsDuringCreateOrUpdate(plan RunInputs)

func (*RunInputs) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RunInputs) SyncEffectiveFieldsDuringRead(existingState RunInputs)

type RunTag 

type RunTag struct {
	// The tag key.
	Key types.String `tfsdk:"key" tf:"optional"`
	// The tag value.
	Value types.String `tfsdk:"value" tf:"optional"`
}

func (*RunTag) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *RunTag) SyncEffectiveFieldsDuringCreateOrUpdate(plan RunTag)

func (*RunTag) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *RunTag) SyncEffectiveFieldsDuringRead(existingState RunTag)

type SearchExperiments 

type SearchExperiments struct {
	// String representing a SQL filter condition (e.g. "name ILIKE
	// 'my-experiment%'")
	Filter types.String `tfsdk:"filter" tf:"optional"`
	// Maximum number of experiments desired. Max threshold is 3000.
	MaxResults types.Int64 `tfsdk:"max_results" tf:"optional"`
	// List of columns for ordering search results, which can include experiment
	// name and last updated timestamp with an optional "DESC" or "ASC"
	// annotation, where "ASC" is the default. Tiebreaks are done by experiment
	// id DESC.
	OrderBy []types.String `tfsdk:"order_by" tf:"optional"`
	// Token indicating the page of experiments to fetch
	PageToken types.String `tfsdk:"page_token" tf:"optional"`
	// Qualifier for type of experiments to be returned. If unspecified, return
	// only active experiments.
	ViewType types.String `tfsdk:"view_type" tf:"optional"`
}

func (*SearchExperiments) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *SearchExperiments) SyncEffectiveFieldsDuringCreateOrUpdate(plan SearchExperiments)

func (*SearchExperiments) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *SearchExperiments) SyncEffectiveFieldsDuringRead(existingState SearchExperiments)

type SearchExperimentsResponse 

type SearchExperimentsResponse struct {
	// Experiments that match the search criteria
	Experiments []Experiment `tfsdk:"experiments" tf:"optional"`
	// Token that can be used to retrieve the next page of experiments. An empty
	// token means that no more experiments are available for retrieval.
	NextPageToken types.String `tfsdk:"next_page_token" tf:"optional"`
}

func (*SearchExperimentsResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *SearchExperimentsResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan SearchExperimentsResponse)

func (*SearchExperimentsResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *SearchExperimentsResponse) SyncEffectiveFieldsDuringRead(existingState SearchExperimentsResponse)

type SearchModelVersionsRequest 

type SearchModelVersionsRequest struct {
	// String filter condition, like "name='my-model-name'". Must be a single
	// boolean condition, with string values wrapped in single quotes.
	Filter types.String `tfsdk:"-"`
	// Maximum number of models desired. Max threshold is 10K.
	MaxResults types.Int64 `tfsdk:"-"`
	// List of columns to be ordered by including model name, version, stage
	// with an optional "DESC" or "ASC" annotation, where "ASC" is the default.
	// Tiebreaks are done by latest stage transition timestamp, followed by name
	// ASC, followed by version DESC.
	OrderBy []types.String `tfsdk:"-"`
	// Pagination token to go to next page based on previous search query.
	PageToken types.String `tfsdk:"-"`
}

Searches model versions

func (*SearchModelVersionsRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *SearchModelVersionsRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan SearchModelVersionsRequest)

func (*SearchModelVersionsRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *SearchModelVersionsRequest) SyncEffectiveFieldsDuringRead(existingState SearchModelVersionsRequest)

type SearchModelVersionsResponse 

type SearchModelVersionsResponse struct {
	// Models that match the search criteria
	ModelVersions []ModelVersion `tfsdk:"model_versions" tf:"optional"`
	// Pagination token to request next page of models for the same search
	// query.
	NextPageToken types.String `tfsdk:"next_page_token" tf:"optional"`
}

func (*SearchModelVersionsResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *SearchModelVersionsResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan SearchModelVersionsResponse)

func (*SearchModelVersionsResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *SearchModelVersionsResponse) SyncEffectiveFieldsDuringRead(existingState SearchModelVersionsResponse)

type SearchModelsRequest 

type SearchModelsRequest struct {
	// String filter condition, like "name LIKE 'my-model-name'". Interpreted in
	// the backend automatically as "name LIKE '%my-model-name%'". Single
	// boolean condition, with string values wrapped in single quotes.
	Filter types.String `tfsdk:"-"`
	// Maximum number of models desired. Default is 100. Max threshold is 1000.
	MaxResults types.Int64 `tfsdk:"-"`
	// List of columns for ordering search results, which can include model name
	// and last updated timestamp with an optional "DESC" or "ASC" annotation,
	// where "ASC" is the default. Tiebreaks are done by model name ASC.
	OrderBy []types.String `tfsdk:"-"`
	// Pagination token to go to the next page based on a previous search query.
	PageToken types.String `tfsdk:"-"`
}

Search models

func (*SearchModelsRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *SearchModelsRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan SearchModelsRequest)

func (*SearchModelsRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *SearchModelsRequest) SyncEffectiveFieldsDuringRead(existingState SearchModelsRequest)

type SearchModelsResponse 

type SearchModelsResponse struct {
	// Pagination token to request the next page of models.
	NextPageToken types.String `tfsdk:"next_page_token" tf:"optional"`
	// Registered Models that match the search criteria.
	RegisteredModels []Model `tfsdk:"registered_models" tf:"optional"`
}

func (*SearchModelsResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *SearchModelsResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan SearchModelsResponse)

func (*SearchModelsResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *SearchModelsResponse) SyncEffectiveFieldsDuringRead(existingState SearchModelsResponse)

type SearchRuns 

type SearchRuns struct {
	// List of experiment IDs to search over.
	ExperimentIds []types.String `tfsdk:"experiment_ids" tf:"optional"`
	// A filter expression over params, metrics, and tags, that allows returning
	// a subset of runs. The syntax is a subset of SQL that supports ANDing
	// together binary operations between a param, metric, or tag and a
	// constant.
	//
	// Example: `metrics.rmse < 1 and params.model_class = 'LogisticRegression'`
	//
	// You can select columns with special characters (hyphen, space, period,
	// etc.) by using double quotes: `metrics."model class" = 'LinearRegression'
	// and tags."user-name" = 'Tomas'`
	//
	// Supported operators are `=`, `!=`, `>`, `>=`, `<`, and `<=`.
	Filter types.String `tfsdk:"filter" tf:"optional"`
	// Maximum number of runs desired. Max threshold is 50000
	MaxResults types.Int64 `tfsdk:"max_results" tf:"optional"`
	// List of columns to be ordered by, including attributes, params, metrics,
	// and tags with an optional "DESC" or "ASC" annotation, where "ASC" is the
	// default. Example: ["params.input DESC", "metrics.alpha ASC",
	// "metrics.rmse"] Tiebreaks are done by start_time DESC followed by run_id
	// for runs with the same start time (and this is the default ordering
	// criterion if order_by is not provided).
	OrderBy []types.String `tfsdk:"order_by" tf:"optional"`
	// Token for the current page of runs.
	PageToken types.String `tfsdk:"page_token" tf:"optional"`
	// Whether to display only active, only deleted, or all runs. Defaults to
	// only active runs.
	RunViewType types.String `tfsdk:"run_view_type" tf:"optional"`
}

func (*SearchRuns) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *SearchRuns) SyncEffectiveFieldsDuringCreateOrUpdate(plan SearchRuns)

func (*SearchRuns) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *SearchRuns) SyncEffectiveFieldsDuringRead(existingState SearchRuns)

type SearchRunsResponse 

type SearchRunsResponse struct {
	// Token for the next page of runs.
	NextPageToken types.String `tfsdk:"next_page_token" tf:"optional"`
	// Runs that match the search criteria.
	Runs []Run `tfsdk:"runs" tf:"optional"`
}

func (*SearchRunsResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *SearchRunsResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan SearchRunsResponse)

func (*SearchRunsResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *SearchRunsResponse) SyncEffectiveFieldsDuringRead(existingState SearchRunsResponse)

type SetExperimentTag 

type SetExperimentTag struct {
	// ID of the experiment under which to log the tag. Must be provided.
	ExperimentId types.String `tfsdk:"experiment_id" tf:""`
	// Name of the tag. Maximum size depends on storage backend. All storage
	// backends are guaranteed to support key values up to 250 bytes in size.
	Key types.String `tfsdk:"key" tf:""`
	// String value of the tag being logged. Maximum size depends on storage
	// backend. All storage backends are guaranteed to support key values up to
	// 5000 bytes in size.
	Value types.String `tfsdk:"value" tf:""`
}

func (*SetExperimentTag) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *SetExperimentTag) SyncEffectiveFieldsDuringCreateOrUpdate(plan SetExperimentTag)

func (*SetExperimentTag) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *SetExperimentTag) SyncEffectiveFieldsDuringRead(existingState SetExperimentTag)

type SetExperimentTagResponse 

type SetExperimentTagResponse struct {
}

func (*SetExperimentTagResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *SetExperimentTagResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan SetExperimentTagResponse)

func (*SetExperimentTagResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *SetExperimentTagResponse) SyncEffectiveFieldsDuringRead(existingState SetExperimentTagResponse)

type SetModelTagRequest 

type SetModelTagRequest struct {
	// Name of the tag. Maximum size depends on storage backend. If a tag with
	// this name already exists, its preexisting value will be replaced by the
	// specified `value`. All storage backends are guaranteed to support key
	// values up to 250 bytes in size.
	Key types.String `tfsdk:"key" tf:""`
	// Unique name of the model.
	Name types.String `tfsdk:"name" tf:""`
	// String value of the tag being logged. Maximum size depends on storage
	// backend. All storage backends are guaranteed to support key values up to
	// 5000 bytes in size.
	Value types.String `tfsdk:"value" tf:""`
}

func (*SetModelTagRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *SetModelTagRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan SetModelTagRequest)

func (*SetModelTagRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *SetModelTagRequest) SyncEffectiveFieldsDuringRead(existingState SetModelTagRequest)

type SetModelTagResponse 

type SetModelTagResponse struct {
}

func (*SetModelTagResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *SetModelTagResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan SetModelTagResponse)

func (*SetModelTagResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *SetModelTagResponse) SyncEffectiveFieldsDuringRead(existingState SetModelTagResponse)

type SetModelVersionTagRequest 

type SetModelVersionTagRequest struct {
	// Name of the tag. Maximum size depends on storage backend. If a tag with
	// this name already exists, its preexisting value will be replaced by the
	// specified `value`. All storage backends are guaranteed to support key
	// values up to 250 bytes in size.
	Key types.String `tfsdk:"key" tf:""`
	// Unique name of the model.
	Name types.String `tfsdk:"name" tf:""`
	// String value of the tag being logged. Maximum size depends on storage
	// backend. All storage backends are guaranteed to support key values up to
	// 5000 bytes in size.
	Value types.String `tfsdk:"value" tf:""`
	// Model version number.
	Version types.String `tfsdk:"version" tf:""`
}

func (*SetModelVersionTagRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *SetModelVersionTagRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan SetModelVersionTagRequest)

func (*SetModelVersionTagRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *SetModelVersionTagRequest) SyncEffectiveFieldsDuringRead(existingState SetModelVersionTagRequest)

type SetModelVersionTagResponse 

type SetModelVersionTagResponse struct {
}

func (*SetModelVersionTagResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *SetModelVersionTagResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan SetModelVersionTagResponse)

func (*SetModelVersionTagResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *SetModelVersionTagResponse) SyncEffectiveFieldsDuringRead(existingState SetModelVersionTagResponse)

type SetTag 

type SetTag struct {
	// Name of the tag. Maximum size depends on storage backend. All storage
	// backends are guaranteed to support key values up to 250 bytes in size.
	Key types.String `tfsdk:"key" tf:""`
	// ID of the run under which to log the tag. Must be provided.
	RunId types.String `tfsdk:"run_id" tf:"optional"`
	// [Deprecated, use run_id instead] ID of the run under which to log the
	// tag. This field will be removed in a future MLflow version.
	RunUuid types.String `tfsdk:"run_uuid" tf:"optional"`
	// String value of the tag being logged. Maximum size depends on storage
	// backend. All storage backends are guaranteed to support key values up to
	// 5000 bytes in size.
	Value types.String `tfsdk:"value" tf:""`
}

func (*SetTag) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *SetTag) SyncEffectiveFieldsDuringCreateOrUpdate(plan SetTag)

func (*SetTag) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *SetTag) SyncEffectiveFieldsDuringRead(existingState SetTag)

type SetTagResponse 

type SetTagResponse struct {
}

func (*SetTagResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *SetTagResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan SetTagResponse)

func (*SetTagResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *SetTagResponse) SyncEffectiveFieldsDuringRead(existingState SetTagResponse)

type TestRegistryWebhook 

type TestRegistryWebhook struct {
	// Body of the response from the webhook URL
	Body types.String `tfsdk:"body" tf:"optional"`
	// Status code returned by the webhook URL
	StatusCode types.Int64 `tfsdk:"status_code" tf:"optional"`
}

Test webhook response object.

func (*TestRegistryWebhook) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *TestRegistryWebhook) SyncEffectiveFieldsDuringCreateOrUpdate(plan TestRegistryWebhook)

func (*TestRegistryWebhook) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *TestRegistryWebhook) SyncEffectiveFieldsDuringRead(existingState TestRegistryWebhook)

type TestRegistryWebhookRequest 

type TestRegistryWebhookRequest struct {
	// If `event` is specified, the test trigger uses the specified event. If
	// `event` is not specified, the test trigger uses a randomly chosen event
	// associated with the webhook.
	Event types.String `tfsdk:"event" tf:"optional"`
	// Webhook ID
	Id types.String `tfsdk:"id" tf:""`
}

func (*TestRegistryWebhookRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *TestRegistryWebhookRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan TestRegistryWebhookRequest)

func (*TestRegistryWebhookRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *TestRegistryWebhookRequest) SyncEffectiveFieldsDuringRead(existingState TestRegistryWebhookRequest)

type TestRegistryWebhookResponse 

type TestRegistryWebhookResponse struct {
	// Test webhook response object.
	Webhook []TestRegistryWebhook `tfsdk:"webhook" tf:"optional,object"`
}

func (*TestRegistryWebhookResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *TestRegistryWebhookResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan TestRegistryWebhookResponse)

func (*TestRegistryWebhookResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *TestRegistryWebhookResponse) SyncEffectiveFieldsDuringRead(existingState TestRegistryWebhookResponse)

type TransitionModelVersionStageDatabricks 

type TransitionModelVersionStageDatabricks struct {
	// Specifies whether to archive all current model versions in the target
	// stage.
	ArchiveExistingVersions types.Bool `tfsdk:"archive_existing_versions" tf:""`
	// User-provided comment on the action.
	Comment types.String `tfsdk:"comment" tf:"optional"`
	// Name of the model.
	Name types.String `tfsdk:"name" tf:""`
	// Target stage of the transition. Valid values are:
	//
	// * `None`: The initial stage of a model version.
	//
	// * `Staging`: Staging or pre-production stage.
	//
	// * `Production`: Production stage.
	//
	// * `Archived`: Archived stage.
	Stage types.String `tfsdk:"stage" tf:""`
	// Version of the model.
	Version types.String `tfsdk:"version" tf:""`
}

func (*TransitionModelVersionStageDatabricks) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *TransitionModelVersionStageDatabricks) SyncEffectiveFieldsDuringCreateOrUpdate(plan TransitionModelVersionStageDatabricks)

func (*TransitionModelVersionStageDatabricks) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *TransitionModelVersionStageDatabricks) SyncEffectiveFieldsDuringRead(existingState TransitionModelVersionStageDatabricks)

type TransitionRequest 

type TransitionRequest struct {
	// Array of actions on the activity allowed for the current viewer.
	AvailableActions []types.String `tfsdk:"available_actions" tf:"optional"`
	// User-provided comment associated with the transition request.
	Comment types.String `tfsdk:"comment" tf:"optional"`
	// Creation time of the object, as a Unix timestamp in milliseconds.
	CreationTimestamp types.Int64 `tfsdk:"creation_timestamp" tf:"optional"`
	// Target stage of the transition (if the activity is stage transition
	// related). Valid values are:
	//
	// * `None`: The initial stage of a model version.
	//
	// * `Staging`: Staging or pre-production stage.
	//
	// * `Production`: Production stage.
	//
	// * `Archived`: Archived stage.
	ToStage types.String `tfsdk:"to_stage" tf:"optional"`
	// The username of the user that created the object.
	UserId types.String `tfsdk:"user_id" tf:"optional"`
}

Transition request details.

func (*TransitionRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *TransitionRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan TransitionRequest)

func (*TransitionRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *TransitionRequest) SyncEffectiveFieldsDuringRead(existingState TransitionRequest)

type TransitionStageResponse 

type TransitionStageResponse struct {
	ModelVersion []ModelVersionDatabricks `tfsdk:"model_version" tf:"optional,object"`
}

func (*TransitionStageResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *TransitionStageResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan TransitionStageResponse)

func (*TransitionStageResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *TransitionStageResponse) SyncEffectiveFieldsDuringRead(existingState TransitionStageResponse)

type UpdateComment 

type UpdateComment struct {
	// User-provided comment on the action.
	Comment types.String `tfsdk:"comment" tf:""`
	// Unique identifier of an activity
	Id types.String `tfsdk:"id" tf:""`
}

func (*UpdateComment) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *UpdateComment) SyncEffectiveFieldsDuringCreateOrUpdate(plan UpdateComment)

func (*UpdateComment) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *UpdateComment) SyncEffectiveFieldsDuringRead(existingState UpdateComment)

type UpdateCommentResponse 

type UpdateCommentResponse struct {
	// Comment details.
	Comment []CommentObject `tfsdk:"comment" tf:"optional,object"`
}

func (*UpdateCommentResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *UpdateCommentResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan UpdateCommentResponse)

func (*UpdateCommentResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *UpdateCommentResponse) SyncEffectiveFieldsDuringRead(existingState UpdateCommentResponse)

type UpdateExperiment 

type UpdateExperiment struct {
	// ID of the associated experiment.
	ExperimentId types.String `tfsdk:"experiment_id" tf:""`
	// If provided, the experiment's name is changed to the new name. The new
	// name must be unique.
	NewName types.String `tfsdk:"new_name" tf:"optional"`
}

func (*UpdateExperiment) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *UpdateExperiment) SyncEffectiveFieldsDuringCreateOrUpdate(plan UpdateExperiment)

func (*UpdateExperiment) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *UpdateExperiment) SyncEffectiveFieldsDuringRead(existingState UpdateExperiment)

type UpdateExperimentResponse 

type UpdateExperimentResponse struct {
}

func (*UpdateExperimentResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *UpdateExperimentResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan UpdateExperimentResponse)

func (*UpdateExperimentResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *UpdateExperimentResponse) SyncEffectiveFieldsDuringRead(existingState UpdateExperimentResponse)

type UpdateModelRequest 

type UpdateModelRequest struct {
	// If provided, updates the description for this `registered_model`.
	Description types.String `tfsdk:"description" tf:"optional"`
	// Registered model unique name identifier.
	Name types.String `tfsdk:"name" tf:""`
}

func (*UpdateModelRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *UpdateModelRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan UpdateModelRequest)

func (*UpdateModelRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *UpdateModelRequest) SyncEffectiveFieldsDuringRead(existingState UpdateModelRequest)

type UpdateModelResponse 

type UpdateModelResponse struct {
}

func (*UpdateModelResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *UpdateModelResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan UpdateModelResponse)

func (*UpdateModelResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *UpdateModelResponse) SyncEffectiveFieldsDuringRead(existingState UpdateModelResponse)

type UpdateModelVersionRequest 

type UpdateModelVersionRequest struct {
	// If provided, updates the description for this `registered_model`.
	Description types.String `tfsdk:"description" tf:"optional"`
	// Name of the registered model
	Name types.String `tfsdk:"name" tf:""`
	// Model version number
	Version types.String `tfsdk:"version" tf:""`
}

func (*UpdateModelVersionRequest) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *UpdateModelVersionRequest) SyncEffectiveFieldsDuringCreateOrUpdate(plan UpdateModelVersionRequest)

func (*UpdateModelVersionRequest) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *UpdateModelVersionRequest) SyncEffectiveFieldsDuringRead(existingState UpdateModelVersionRequest)

type UpdateModelVersionResponse 

type UpdateModelVersionResponse struct {
}

func (*UpdateModelVersionResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *UpdateModelVersionResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan UpdateModelVersionResponse)

func (*UpdateModelVersionResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *UpdateModelVersionResponse) SyncEffectiveFieldsDuringRead(existingState UpdateModelVersionResponse)

type UpdateRegistryWebhook 

type UpdateRegistryWebhook struct {
	// User-specified description for the webhook.
	Description types.String `tfsdk:"description" tf:"optional"`
	// Events that can trigger a registry webhook: * `MODEL_VERSION_CREATED`: A
	// new model version was created for the associated model.
	//
	// * `MODEL_VERSION_TRANSITIONED_STAGE`: A model version’s stage was
	// changed.
	//
	// * `TRANSITION_REQUEST_CREATED`: A user requested a model version’s
	// stage be transitioned.
	//
	// * `COMMENT_CREATED`: A user wrote a comment on a registered model.
	//
	// * `REGISTERED_MODEL_CREATED`: A new registered model was created. This
	// event type can only be specified for a registry-wide webhook, which can
	// be created by not specifying a model name in the create request.
	//
	// * `MODEL_VERSION_TAG_SET`: A user set a tag on the model version.
	//
	// * `MODEL_VERSION_TRANSITIONED_TO_STAGING`: A model version was
	// transitioned to staging.
	//
	// * `MODEL_VERSION_TRANSITIONED_TO_PRODUCTION`: A model version was
	// transitioned to production.
	//
	// * `MODEL_VERSION_TRANSITIONED_TO_ARCHIVED`: A model version was archived.
	//
	// * `TRANSITION_REQUEST_TO_STAGING_CREATED`: A user requested a model
	// version be transitioned to staging.
	//
	// * `TRANSITION_REQUEST_TO_PRODUCTION_CREATED`: A user requested a model
	// version be transitioned to production.
	//
	// * `TRANSITION_REQUEST_TO_ARCHIVED_CREATED`: A user requested a model
	// version be archived.
	Events []types.String `tfsdk:"events" tf:"optional"`

	HttpUrlSpec []HttpUrlSpec `tfsdk:"http_url_spec" tf:"optional,object"`
	// Webhook ID
	Id types.String `tfsdk:"id" tf:""`

	JobSpec []JobSpec `tfsdk:"job_spec" tf:"optional,object"`
	// Enable or disable triggering the webhook, or put the webhook into test
	// mode. The default is `ACTIVE`: * `ACTIVE`: Webhook is triggered when an
	// associated event happens.
	//
	// * `DISABLED`: Webhook is not triggered.
	//
	// * `TEST_MODE`: Webhook can be triggered through the test endpoint, but is
	// not triggered on a real event.
	Status types.String `tfsdk:"status" tf:"optional"`
}

func (*UpdateRegistryWebhook) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *UpdateRegistryWebhook) SyncEffectiveFieldsDuringCreateOrUpdate(plan UpdateRegistryWebhook)

func (*UpdateRegistryWebhook) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *UpdateRegistryWebhook) SyncEffectiveFieldsDuringRead(existingState UpdateRegistryWebhook)

type UpdateRun 

type UpdateRun struct {
	// Unix timestamp in milliseconds of when the run ended.
	EndTime types.Int64 `tfsdk:"end_time" tf:"optional"`
	// ID of the run to update. Must be provided.
	RunId types.String `tfsdk:"run_id" tf:"optional"`
	// [Deprecated, use run_id instead] ID of the run to update.. This field
	// will be removed in a future MLflow version.
	RunUuid types.String `tfsdk:"run_uuid" tf:"optional"`
	// Updated status of the run.
	Status types.String `tfsdk:"status" tf:"optional"`
}

func (*UpdateRun) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *UpdateRun) SyncEffectiveFieldsDuringCreateOrUpdate(plan UpdateRun)

func (*UpdateRun) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *UpdateRun) SyncEffectiveFieldsDuringRead(existingState UpdateRun)

type UpdateRunResponse 

type UpdateRunResponse struct {
	// Updated metadata of the run.
	RunInfo []RunInfo `tfsdk:"run_info" tf:"optional,object"`
}

func (*UpdateRunResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *UpdateRunResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan UpdateRunResponse)

func (*UpdateRunResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *UpdateRunResponse) SyncEffectiveFieldsDuringRead(existingState UpdateRunResponse)

type UpdateWebhookResponse 

type UpdateWebhookResponse struct {
}

func (*UpdateWebhookResponse) SyncEffectiveFieldsDuringCreateOrUpdate added in v1.54.0 

func (newState *UpdateWebhookResponse) SyncEffectiveFieldsDuringCreateOrUpdate(plan UpdateWebhookResponse)

func (*UpdateWebhookResponse) SyncEffectiveFieldsDuringRead added in v1.54.0 

func (newState *UpdateWebhookResponse) SyncEffectiveFieldsDuringRead(existingState UpdateWebhookResponse)

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