<model_name>!EXPLAIN_FEATURE_IMPORTANCE

返回模型使用的每个特征的相对特征重要性。

If you need to select specific columns from the data returned by this method, you can call the method in the FROM clause of a SELECT statement. See Selecting columns from SQL class instance methods that return tabular data.

语法

<model_name>!EXPLAIN_FEATURE_IMPORTANCE();

返回

ColumnTypeDescription
SERIESVARIANTSeries value (NULL if model was trained with single time series).
RANKINTEGERThe importance rank of a feature for a specific series
FEATURE_NAMEVARCHAR

The name of the feature used to train the model aggregated_endogenous_features represents all features derived as transformations of your target variable.

IMPORTANCE_SCOREFLOATThe feature’s importance score: a value in [0, 1], with 0 being the lowest possible importance, and 1 the highest.
FEATURE_TYPEVARCHAR

特征的来源，以下项之一：

  • user_provided
  • derived_from_timestamp
  • derived_from_endogenous