lale.lib.lale.concat_features module

class lale.lib.lale.concat_features.ConcatFeaturesImpl[source]

Bases: object

Transformer to concatenate input datasets.

This transformer concatenates the input datasets column-wise.

Examples

>>> A = [ [11, 12, 13],
          [21, 22, 23],
          [31, 32, 33] ]
>>> B = [ [14, 15],
          [24, 25],
          [34, 35] ]
>>> trainable_cf = ConcatFeatures()
>>> trained_cf = trainable_cf.fit(X = [A, B])
>>> trained_cf.transform([A, B])
    [ [11, 12, 13, 14, 15],
      [21, 22, 23, 24, 25],
      [31, 32, 33, 34, 35] ]
transform(X)[source]

Transform the list of datasets to one single dataset by concatenating column-wise.

Parameters

X (list) – List of datasets to be concatenated.

Returns

[description]

Return type

[type]

transform_schema(s_X)[source]