Missing values report

class datarobot.models.missing_report.MissingValuesReport

Missing values report for model, contains list of reports per feature sorted by missing count in descending order.

Notes

Report per feature contains:

• feature : feature name.

• type : feature type – ‘Numeric’ or ‘Categorical’.

• missing_count : missing values count in training data.

• missing_percentage : missing values percentage in training data.

• tasks : list of information per each task, which was applied to feature.

task information contains:

• id : a number of task in the blueprint diagram.

• name : task name.

• descriptions : human readable aggregated information about how the task handles missing values. The following descriptions may be present: what value is imputed for missing values, whether the feature being missing is treated as a feature by the task, whether missing values are treated as infrequent values, whether infrequent values are treated as missing values, and whether missing values are ignored.

__init__(missing_values_report)

classmethod get(project_id, model_id)

Retrieve a missing report.

Parameters:

• project_id (str) – The project’s id.

• model_id (str) – The model’s id.

Returns:

The queried missing report.

Return type:

MissingValuesReport