evalml.pipelines.components.DelayedFeatureTransformer.transform

DelayedFeatureTransformer.transform(X, y=None)

Computes the delayed features for all features in X and y.

For each feature in X, it will add a column to the output dataframe for each delay in the (inclusive) range [1, max_delay]. The values of each delayed feature are simply the original feature shifted forward in time by the delay amount. For example, a delay of 3 units means that the feature value at row n will be taken from the n-3rd row of that feature

If y is not None, it will also compute the delayed values for the target variable.

Parameters

• X (pd.DataFrame or None) – Data to transform. None is expected when only the target variable is being used.

• y (pd.Series, None) – Target.

Returns

Transformed X.

Return type

pd.DataFrame

evalml.pipelines.components.DelayedFeatureTransformer.save evalml.pipelines.components.DFSTransformer