<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();

Column	Type	Description
SERIES	VARIANT	Series value (NULL if model was trained with single time series).
RANK	INTEGER	The importance rank of a feature for a particular series.
FEATURE_NAME	VARCHAR	The name of the feature used to train the model. `aggregated_endogenous_features` represents all features derived as transformations of the target variable.
IMPORTANCE_SCORE	FLOAT	The feature’s importance score: a value in [0, 1], with 0 being the lowest possible importance, and 1 the highest.
FEATURE_TYPE	VARCHAR	特征的来源。其中之一： `user_provided`: Feature data provided by the user. `derived_from_timestamp`: Periodic feature (e.g. day, week, or month) derived from timestamp data. `derived_from_endogenous`: Features derived from a transformation of the target variable.