GetMissingValuesReport: Get a report on missing values for the model.

In datarobot: 'DataRobot' Predictive Modeling API

Get a report on missing values for the model.

Description

The missing values report is a list of items, one per feature, sorted by missing count in descending order. Each item in the report contains details on the number of missing values for that feature and how they were handled by the model.

Usage

GetMissingValuesReport(project, modelId)

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.
modelId	character. Unique alphanumeric identifier for the model of interest.

Value

A list containing:

• feature character. The name of the feature.

• type character. Feature type (numeric or categorical).

• missingCount numeric. The number of missing values in the training data for that feature.

• missingPercentage numeric. The percentage of missing values in the training data for the feature.

• tasks list. A list of information on each task that was applied to that feature to handle missing values. This information contains:

  • id character. The id of the node in the model blueprint chart for this task. (See GetBlueprintChart for more information on blueprint charts.)

  • name character. The name of the task.

  • descriptions character. Aggregated information about how the task handles missing values.

Examples

## Not run: 
   projectId <- "5984b4d7100d2b31c1166529"
   modelId <- "5984b4d7100d2b31c1166529"
   GetMissingValuesReport(projectId, modelId)

## End(Not run)

datarobot documentation built on May 29, 2024, 4:36 a.m.