GetFeatureInfo: Details about a feature

In datarobot: 'DataRobot' Predictive Modeling API

Details about a feature

Description

Details about a feature

Usage

GetFeatureInfo(project, featureName)

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.
featureName	Name of the feature to retrieve. Note: DataRobot renames some features, so the feature name may not be the one from your original data. You can use ListFeatureInfo to list the features and check the name.

Value

A named list which contains:

• id numeric. feature id. Note that throughout the API, features are specified using their names, not this ID.

• name character. The name of the feature.

• featureType character. Feature type: 'Numeric', 'Categorical', etc.

• importance numeric. numeric measure of the strength of relationship between the feature and target (independent of any model or other features).

• lowInformation logical. Whether the feature has too few values to be informative.

• uniqueCount numeric. The number of unique values in the feature.

• naCount numeric. The number of missing values in the feature.

• dateFormat character. The format of the feature if it is date-time feature.

• projectId character. Character id of the project the feature belongs to.

• max. The maximum value in the dataset, formatted in the same format as the data.

• min. The minimum value in the dataset, formatted in the same format as the data.

• mean. The arithmetic mean of the dataset, formatted in the same format as the data.

• median. The median of the dataset, formatted in the same format as the data.

• stdDev. The standard deviation of the dataset, formatted in the same format as the data.

• timeSeriesEligible logical. Whether this feature can be used as the datetime partition column in a time series project.

• timeSeriesEligibilityReason character. Why the feature is ineligible for the datetime partition column in a time series project, "suitable" when it is eligible.

• crossSeriesEligible logical. Whether the cross series group by column is eligible for cross-series modeling. Will be NULL if no cross series group by column is used.

• crossSeriesEligibilityReason character. The type of cross series eligibility (or ineligibility).

• timeStep numeric. For time-series eligible features, a positive integer determining the interval at which windows can be specified. If used as the datetime partition column on a time series project, the feature derivation and forecast windows must start and end at an integer multiple of this value. NULL for features that are not time series eligible.

• timeUnit character. For time series eligible features, the time unit covered by a single time step, e.g. "HOUR", or NULL for features that are not time series eligible.

• targetLeakage character. Whether a feature is considered to have target leakage or not. A value of "SKIPPED_DETECTION" indicates that target leakage detection was not run on the feature.

• keySummary data.frame. Optional. Descriptive statistics for this feature, iff it is a summarized categorical feature. This data.frame contains:

  • key. The name of the key.

  • summary. Descriptive statistics for this key, including:

    • max. The maximum value in the dataset.

    • min. The minimum value in the dataset.

    • mean. The arithmetic mean of the dataset.

    • median. The median of the dataset.

    • stdDev. The standard deviation of the dataset.

    • pctRows. The percentage of rows (from the EDA sample) in which this key occurs.

See Also

Other feature functions: ListFeatureInfo(), ListModelFeatures(), as.dataRobotFeatureInfo()

Examples

## Not run: 
  projectId <- "59a5af20c80891534e3c2bde"
  GetFeatureInfo(projectId, "myFeature")

## End(Not run)

datarobot documentation built on Nov. 3, 2023, 1:07 a.m.