sktime.series_as_features: Series-as-features tools¶
The sktime.series_as_features
module contains algorithms and composition tools that are shared by the classification and regression modules.
Composition¶
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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 |
Model selection¶
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Cross-validation iterator over split predefined in files. |
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Helper class for orchestration that uses a single split for training and testing. |