name= 'Time Series Binary Classification Pipeline'¶
problem_type= 'time series binary'¶
Gets the class names for the problem.
Return importance associated with each feature.
Returns parameter dictionary for this pipeline
Threshold used to make a prediction.
Machine learning pipeline for time series classification problems made out of transformers and a classifier.
Determine whether the threshold of a binary classification pipeline can be tuned.
Constructs a new pipeline with the same components, parameters, and random state.
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
Optimize the pipeline threshold given the objective to use.
Make predictions using selected features.
Make probability estimates for labels.
Saves pipeline at file path
Evaluate model performance on current and additional objectives.