evalml.pipelines.RegressionPipeline¶
-
class
evalml.pipelines.
RegressionPipeline
(parameters, random_seed=0)[source]¶ Pipeline subclass for all regression pipelines.
-
name
= 'Regression Pipeline'¶
-
custom_name
= None¶
-
problem_type
= 'regression'¶
Instance attributes
feature_importance
Return importance associated with each feature.
parameters
Returns parameter dictionary for this pipeline
Methods:
Machine learning pipeline made out of transformers and a estimator.
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
Build a regression model.
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.
Saves pipeline at file path
Evaluate model performance on current and additional objectives
-