FeatureUnion¶
-
class
sktime.series_as_features.compose.
FeatureUnion
(transformer_list, n_jobs=None, transformer_weights=None, preserve_dataframe=True)[source]¶ Concatenates results of multiple transformer objects. This estimator applies a list of transformer objects in parallel to the input data, then concatenates the results. This is useful to combine several feature extraction mechanisms into a single transformer. Parameters of the transformations may be set using its name and the parameter name separated by a ‘__’. A transformer may be replaced entirely by setting the parameter with its name to another transformer, or removed by setting to ‘drop’ or
None
. :param transformer_list: List of transformer objects to be applied to the data. The firsthalf of each tuple is the name of the transformer.
- Parameters
n_jobs (int or None, optional (default=None)) – Number of jobs to run in parallel.
None
means 1 unless in ajoblib.parallel_backend
context.-1
means using all processors.transformer_weights (dict, optional) – Multiplicative weights for features per transformer. Keys are transformer names, values the weights.