Documentation ¶
Overview ¶
Explains a data frame analytics config.
Index ¶
- Variables
- type ExplainDataFrameAnalytics
- func (r *ExplainDataFrameAnalytics) AllowLazyStart(allowlazystart bool) *ExplainDataFrameAnalytics
- func (r *ExplainDataFrameAnalytics) Analysis(analysis *types.DataframeAnalysisContainer) *ExplainDataFrameAnalytics
- func (r *ExplainDataFrameAnalytics) AnalyzedFields(analyzedfields *types.DataframeAnalysisAnalyzedFields) *ExplainDataFrameAnalytics
- func (r *ExplainDataFrameAnalytics) Description(description string) *ExplainDataFrameAnalytics
- func (r *ExplainDataFrameAnalytics) Dest(dest *types.DataframeAnalyticsDestination) *ExplainDataFrameAnalytics
- func (r ExplainDataFrameAnalytics) Do(providedCtx context.Context) (*Response, error)
- func (r *ExplainDataFrameAnalytics) Header(key, value string) *ExplainDataFrameAnalytics
- func (r *ExplainDataFrameAnalytics) HttpRequest(ctx context.Context) (*http.Request, error)
- func (r *ExplainDataFrameAnalytics) Id(id string) *ExplainDataFrameAnalytics
- func (r *ExplainDataFrameAnalytics) MaxNumThreads(maxnumthreads int) *ExplainDataFrameAnalytics
- func (r *ExplainDataFrameAnalytics) ModelMemoryLimit(modelmemorylimit string) *ExplainDataFrameAnalytics
- func (r ExplainDataFrameAnalytics) Perform(providedCtx context.Context) (*http.Response, error)
- func (r *ExplainDataFrameAnalytics) Raw(raw io.Reader) *ExplainDataFrameAnalytics
- func (r *ExplainDataFrameAnalytics) Request(req *Request) *ExplainDataFrameAnalytics
- func (r *ExplainDataFrameAnalytics) Source(source *types.DataframeAnalyticsSource) *ExplainDataFrameAnalytics
- type NewExplainDataFrameAnalytics
- type Request
- type Response
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 ExplainDataFrameAnalytics ¶
type ExplainDataFrameAnalytics struct {
// contains filtered or unexported fields
}
func New ¶
func New(tp elastictransport.Interface) *ExplainDataFrameAnalytics
Explains a data frame analytics config.
http://www.elastic.co/guide/en/elasticsearch/reference/current/explain-dfanalytics.html
func (*ExplainDataFrameAnalytics) AllowLazyStart ¶
func (r *ExplainDataFrameAnalytics) AllowLazyStart(allowlazystart bool) *ExplainDataFrameAnalytics
AllowLazyStart Specifies whether this job can start when there is insufficient machine learning node capacity for it to be immediately assigned to a node. API name: allow_lazy_start
func (*ExplainDataFrameAnalytics) Analysis ¶
func (r *ExplainDataFrameAnalytics) Analysis(analysis *types.DataframeAnalysisContainer) *ExplainDataFrameAnalytics
Analysis The analysis configuration, which contains the information necessary to perform one of the following types of analysis: classification, outlier detection, or regression. API name: analysis
func (*ExplainDataFrameAnalytics) AnalyzedFields ¶
func (r *ExplainDataFrameAnalytics) AnalyzedFields(analyzedfields *types.DataframeAnalysisAnalyzedFields) *ExplainDataFrameAnalytics
AnalyzedFields Specify 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. API name: analyzed_fields
func (*ExplainDataFrameAnalytics) Description ¶
func (r *ExplainDataFrameAnalytics) Description(description string) *ExplainDataFrameAnalytics
Description A description of the job. API name: description
func (*ExplainDataFrameAnalytics) Dest ¶
func (r *ExplainDataFrameAnalytics) Dest(dest *types.DataframeAnalyticsDestination) *ExplainDataFrameAnalytics
Dest The destination configuration, consisting of index and optionally results_field (ml by default). API name: dest
func (ExplainDataFrameAnalytics) Do ¶
func (r ExplainDataFrameAnalytics) Do(providedCtx context.Context) (*Response, error)
Do runs the request through the transport, handle the response and returns a explaindataframeanalytics.Response
func (*ExplainDataFrameAnalytics) Header ¶
func (r *ExplainDataFrameAnalytics) Header(key, value string) *ExplainDataFrameAnalytics
Header set a key, value pair in the ExplainDataFrameAnalytics headers map.
func (*ExplainDataFrameAnalytics) HttpRequest ¶
HttpRequest returns the http.Request object built from the given parameters.
func (*ExplainDataFrameAnalytics) Id ¶
func (r *ExplainDataFrameAnalytics) Id(id string) *ExplainDataFrameAnalytics
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 (*ExplainDataFrameAnalytics) MaxNumThreads ¶
func (r *ExplainDataFrameAnalytics) MaxNumThreads(maxnumthreads int) *ExplainDataFrameAnalytics
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. API name: max_num_threads
func (*ExplainDataFrameAnalytics) ModelMemoryLimit ¶
func (r *ExplainDataFrameAnalytics) ModelMemoryLimit(modelmemorylimit string) *ExplainDataFrameAnalytics
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. API name: model_memory_limit
func (ExplainDataFrameAnalytics) Perform ¶
Perform runs the http.Request through the provided transport and returns an http.Response.
func (*ExplainDataFrameAnalytics) Raw ¶
func (r *ExplainDataFrameAnalytics) Raw(raw io.Reader) *ExplainDataFrameAnalytics
Raw takes a json payload as input which is then passed to the http.Request If specified Raw takes precedence on Request method.
func (*ExplainDataFrameAnalytics) Request ¶
func (r *ExplainDataFrameAnalytics) Request(req *Request) *ExplainDataFrameAnalytics
Request allows to set the request property with the appropriate payload.
func (*ExplainDataFrameAnalytics) Source ¶
func (r *ExplainDataFrameAnalytics) Source(source *types.DataframeAnalyticsSource) *ExplainDataFrameAnalytics
Source The configuration of how to source the analysis data. It requires an index. Optionally, query and _source may be specified. API name: source
type NewExplainDataFrameAnalytics ¶
type NewExplainDataFrameAnalytics func() *ExplainDataFrameAnalytics
NewExplainDataFrameAnalytics type alias for index.
func NewExplainDataFrameAnalyticsFunc ¶
func NewExplainDataFrameAnalyticsFunc(tp elastictransport.Interface) NewExplainDataFrameAnalytics
NewExplainDataFrameAnalyticsFunc returns a new instance of ExplainDataFrameAnalytics with the provided transport. Used in the index of the library this allows to retrieve every apis in once place.
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. 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,omitempty"` // AnalyzedFields Specify 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. AnalyzedFields *types.DataframeAnalysisAnalyzedFields `json:"analyzed_fields,omitempty"` // Description A description of the job. Description *string `json:"description,omitempty"` // Dest The destination configuration, consisting of index and optionally // results_field (ml by default). Dest *types.DataframeAnalyticsDestination `json:"dest,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. It requires an // index. Optionally, query and _source may be specified. Source *types.DataframeAnalyticsSource `json:"source,omitempty"` }
Request holds the request body struct for the package explaindataframeanalytics
type Response ¶
type Response struct { // FieldSelection An array of objects that explain selection for each field, sorted by the // field names. FieldSelection []types.DataframeAnalyticsFieldSelection `json:"field_selection"` // MemoryEstimation An array of objects that explain selection for each field, sorted by the // field names. MemoryEstimation types.DataframeAnalyticsMemoryEstimation `json:"memory_estimation"` }
Response holds the response body struct for the package explaindataframeanalytics