Gets the class names for the problem.
Return importance associated with each feature.
Returns parameter dictionary for this pipeline
Machine learning pipeline for time series classification problems made out of transformers and a classifier.
Constructs a new pipeline with the same parameters and components.
Transforms the data by applying all pre-processing components.
Outputs pipeline details including component parameters
Fit a time series classification pipeline.
Returns component by name
Generate an image representing the pipeline graph
Generate a bar graph of the pipeline’s feature importance
Loads pipeline at file path
Make predictions using selected features.
Make probability estimates for labels.
Saves pipeline at file path
Evaluate model performance on current and additional objectives.