evalml.pipelines.utils.make_pipeline_from_components¶

evalml.pipelines.utils.make_pipeline_from_components(component_instances, problem_type, custom_name=None)[source]¶

Given a list of component instances and the problem type, an pipeline instance is generated with the component instances.: The pipeline will be a subclass of the appropriate pipeline base class for the specified problem_type. The pipeline will be untrained, even if the input components are already trained. A custom name for the pipeline can optionally be specified; otherwise the default pipeline name will be ‘Templated Pipeline’.

Parameters

component_instances (list) – a list of all of the components to include in the pipeline
problem_type (str or ProblemTypes) – problem type for the pipeline to generate
custom_name – a name for the new pipeline