GetTimeSeriesFeatureDerivationLog: Retrieve the time series feature derivation log content

Description Usage Arguments Details Value Examples

View source: R/FeatureLogs.R

Description

The time series feature derivation log provides details about the feature generation process for a time series project. It includes information about which features are generated and their priority, as well as the detected properties of the time series data such as whether the series is stationary, and periodicities detected.

Usage

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Arguments

project

character. Either (1) a character string giving the unique alphanumeric identifier for the project, or (2) a list containing the element projectId with this identifier.

offset

integer. Optional. Default is 0. This many results will be skipped.

limit

integer. Optional. Defaults to 100. At most this many results are returned. To specify no limit, use 0. The default may change without notice.

Details

This route is only supported for time series projects that have finished partitioning. The time series feature log will include information about:

Value

Returns the feature log output

Examples

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## Not run: 
 projectId <- "5984b4d7100d2b31c1166529"
 GetTimeSeriesFeatureDerivationLog(projectId)

## End(Not run)

datarobot documentation built on June 2, 2021, 9:06 a.m.