Documentation ¶
Overview ¶
Instantiates a data frame analytics job.
Index ¶
- Variables
- type NewPutDataFrameAnalytics
- type PutDataFrameAnalytics
- func (r PutDataFrameAnalytics) Do(ctx context.Context) (*http.Response, error)
- func (r *PutDataFrameAnalytics) Header(key, value string) *PutDataFrameAnalytics
- func (r *PutDataFrameAnalytics) HttpRequest(ctx context.Context) (*http.Request, error)
- func (r *PutDataFrameAnalytics) Id(v string) *PutDataFrameAnalytics
- func (r *PutDataFrameAnalytics) Raw(raw json.RawMessage) *PutDataFrameAnalytics
- func (r *PutDataFrameAnalytics) Request(req *Request) *PutDataFrameAnalytics
- type Request
- type RequestBuilder
- func (rb *RequestBuilder) AllowLazyStart(allowlazystart bool) *RequestBuilder
- func (rb *RequestBuilder) Analysis(analysis *types.DataframeAnalysisContainerBuilder) *RequestBuilder
- func (rb *RequestBuilder) AnalyzedFields(analyzedfields *types.DataframeAnalysisAnalyzedFieldsBuilder) *RequestBuilder
- func (rb *RequestBuilder) Build() *Request
- func (rb *RequestBuilder) Description(description string) *RequestBuilder
- func (rb *RequestBuilder) Dest(dest *types.DataframeAnalyticsDestinationBuilder) *RequestBuilder
- func (rb *RequestBuilder) FromJSON(data string) (*Request, error)
- func (rb *RequestBuilder) Headers(headers *types.HttpHeadersBuilder) *RequestBuilder
- func (rb *RequestBuilder) MaxNumThreads(maxnumthreads int) *RequestBuilder
- func (rb *RequestBuilder) ModelMemoryLimit(modelmemorylimit string) *RequestBuilder
- func (rb *RequestBuilder) Source(source *types.DataframeAnalyticsSourceBuilder) *RequestBuilder
- func (rb *RequestBuilder) Version(version types.VersionString) *RequestBuilder
Constants ¶
This section is empty.
Variables ¶
var ErrBuildPath = errors.New("cannot build path, check for missing path parameters")
ErrBuildPath is returned in case of missing parameters within the build of the request.
Functions ¶
This section is empty.
Types ¶
type NewPutDataFrameAnalytics ¶
type NewPutDataFrameAnalytics func(id string) *PutDataFrameAnalytics
NewPutDataFrameAnalytics type alias for index.
func NewPutDataFrameAnalyticsFunc ¶
func NewPutDataFrameAnalyticsFunc(tp elastictransport.Interface) NewPutDataFrameAnalytics
NewPutDataFrameAnalyticsFunc returns a new instance of PutDataFrameAnalytics with the provided transport. Used in the index of the library this allows to retrieve every apis in once place.
type PutDataFrameAnalytics ¶
type PutDataFrameAnalytics struct {
// contains filtered or unexported fields
}
func New ¶
func New(tp elastictransport.Interface) *PutDataFrameAnalytics
Instantiates a data frame analytics job.
https://www.elastic.co/guide/en/elasticsearch/reference/{branch}/put-dfanalytics.html
func (*PutDataFrameAnalytics) Header ¶
func (r *PutDataFrameAnalytics) Header(key, value string) *PutDataFrameAnalytics
Header set a key, value pair in the PutDataFrameAnalytics headers map.
func (*PutDataFrameAnalytics) HttpRequest ¶
HttpRequest returns the http.Request object built from the given parameters.
func (*PutDataFrameAnalytics) Id ¶
func (r *PutDataFrameAnalytics) Id(v string) *PutDataFrameAnalytics
Id Identifier for the data frame analytics job. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters. API Name: id
func (*PutDataFrameAnalytics) Raw ¶
func (r *PutDataFrameAnalytics) Raw(raw json.RawMessage) *PutDataFrameAnalytics
Raw takes a json payload as input which is then passed to the http.Request If specified Raw takes precedence on Request method.
func (*PutDataFrameAnalytics) Request ¶
func (r *PutDataFrameAnalytics) Request(req *Request) *PutDataFrameAnalytics
Request allows to set the request property with the appropriate payload.
type Request ¶
type Request struct { // AllowLazyStart Specifies whether this job can start when there is insufficient machine // learning node capacity for it to be immediately assigned to a node. If // set to `false` and a machine learning node with capacity to run the job // cannot be immediately found, the API returns an error. If set to `true`, // the API does not return an error; the job waits in the `starting` state // until sufficient machine learning node capacity is available. This // behavior is also affected by the cluster-wide // `xpack.ml.max_lazy_ml_nodes` setting. AllowLazyStart *bool `json:"allow_lazy_start,omitempty"` // Analysis The analysis configuration, which contains the information necessary to // perform one of the following types of analysis: classification, outlier // detection, or regression. Analysis types.DataframeAnalysisContainer `json:"analysis"` // AnalyzedFields Specifies `includes` and/or `excludes` patterns to select which fields // will be included in the analysis. The patterns specified in `excludes` // are applied last, therefore `excludes` takes precedence. In other words, // if the same field is specified in both `includes` and `excludes`, then // the field will not be included in the analysis. If `analyzed_fields` is // not set, only the relevant fields will be included. For example, all the // numeric fields for outlier detection. // The supported fields vary for each type of analysis. Outlier detection // requires numeric or `boolean` data to analyze. The algorithms don’t // support missing values therefore fields that have data types other than // numeric or boolean are ignored. Documents where included fields contain // missing values, null values, or an array are also ignored. Therefore the // `dest` index may contain documents that don’t have an outlier score. // Regression supports fields that are numeric, `boolean`, `text`, // `keyword`, and `ip` data types. It is also tolerant of missing values. // Fields that are supported are included in the analysis, other fields are // ignored. Documents where included fields contain an array with two or // more values are also ignored. Documents in the `dest` index that don’t // contain a results field are not included in the regression analysis. // Classification supports fields that are numeric, `boolean`, `text`, // `keyword`, and `ip` data types. It is also tolerant of missing values. // Fields that are supported are included in the analysis, other fields are // ignored. Documents where included fields contain an array with two or // more values are also ignored. Documents in the `dest` index that don’t // contain a results field are not included in the classification analysis. // Classification analysis can be improved by mapping ordinal variable // values to a single number. For example, in case of age ranges, you can // model the values as `0-14 = 0`, `15-24 = 1`, `25-34 = 2`, and so on. AnalyzedFields *types.DataframeAnalysisAnalyzedFields `json:"analyzed_fields,omitempty"` // Description A description of the job. Description *string `json:"description,omitempty"` // Dest The destination configuration. Dest types.DataframeAnalyticsDestination `json:"dest"` Headers *types.HttpHeaders `json:"headers,omitempty"` // MaxNumThreads The maximum number of threads to be used by the analysis. Using more // threads may decrease the time necessary to complete the analysis at the // cost of using more CPU. Note that the process may use additional threads // for operational functionality other than the analysis itself. MaxNumThreads *int `json:"max_num_threads,omitempty"` // ModelMemoryLimit The approximate maximum amount of memory resources that are permitted for // analytical processing. If your `elasticsearch.yml` file contains an // `xpack.ml.max_model_memory_limit` setting, an error occurs when you try // to create data frame analytics jobs that have `model_memory_limit` values // greater than that setting. ModelMemoryLimit *string `json:"model_memory_limit,omitempty"` // Source The configuration of how to source the analysis data. Source types.DataframeAnalyticsSource `json:"source"` Version *types.VersionString `json:"version,omitempty"` }
Request holds the request body struct for the package putdataframeanalytics
type RequestBuilder ¶
type RequestBuilder struct {
// contains filtered or unexported fields
}
RequestBuilder is the builder API for the putdataframeanalytics.Request
func NewRequestBuilder ¶
func NewRequestBuilder() *RequestBuilder
NewRequest returns a RequestBuilder which can be chained and built to retrieve a RequestBuilder
func (*RequestBuilder) AllowLazyStart ¶
func (rb *RequestBuilder) AllowLazyStart(allowlazystart bool) *RequestBuilder
func (*RequestBuilder) Analysis ¶
func (rb *RequestBuilder) Analysis(analysis *types.DataframeAnalysisContainerBuilder) *RequestBuilder
func (*RequestBuilder) AnalyzedFields ¶
func (rb *RequestBuilder) AnalyzedFields(analyzedfields *types.DataframeAnalysisAnalyzedFieldsBuilder) *RequestBuilder
func (*RequestBuilder) Build ¶
func (rb *RequestBuilder) Build() *Request
Build finalize the chain and returns the Request struct.
func (*RequestBuilder) Description ¶
func (rb *RequestBuilder) Description(description string) *RequestBuilder
func (*RequestBuilder) Dest ¶
func (rb *RequestBuilder) Dest(dest *types.DataframeAnalyticsDestinationBuilder) *RequestBuilder
func (*RequestBuilder) FromJSON ¶
func (rb *RequestBuilder) FromJSON(data string) (*Request, error)
FromJSON allows to load an arbitrary json into the request structure
func (*RequestBuilder) Headers ¶
func (rb *RequestBuilder) Headers(headers *types.HttpHeadersBuilder) *RequestBuilder
func (*RequestBuilder) MaxNumThreads ¶
func (rb *RequestBuilder) MaxNumThreads(maxnumthreads int) *RequestBuilder
func (*RequestBuilder) ModelMemoryLimit ¶
func (rb *RequestBuilder) ModelMemoryLimit(modelmemorylimit string) *RequestBuilder
func (*RequestBuilder) Source ¶
func (rb *RequestBuilder) Source(source *types.DataframeAnalyticsSourceBuilder) *RequestBuilder
func (*RequestBuilder) Version ¶
func (rb *RequestBuilder) Version(version types.VersionString) *RequestBuilder