Details about a feature
GetFeatureInfo(project, featureName)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.
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.
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.
Other feature functions:
ListFeatureInfo(),
ListModelFeatures(),
as.dataRobotFeatureInfo()
if (FALSE) {
projectId <- "59a5af20c80891534e3c2bde"
GetFeatureInfo(projectId, "myFeature")
}
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