evalml.pipelines.BaselineBinaryPipeline

class evalml.pipelines.BaselineBinaryPipeline(parameters, random_state=0)

“Baseline Pipeline for binary classification

name = 'Baseline Classification Pipeline'

custom_name = 'Baseline Classification Pipeline'

summary = 'Baseline Classifier'

component_graph = ['Baseline Classifier']

problem_type = 'binary'

model_family = 'baseline'

hyperparameters = {'Baseline Classifier': {}}

custom_hyperparameters = None

Instance attributes

feature_importances	Return feature importances.
parameters	Returns parameter dictionary for this pipeline
threshold

Methods:

__init__	Machine learning pipeline made out of transformers and a estimator.
describe	Outputs pipeline details including component parameters
fit	Build a model
get_component	Returns component by name
graph	Generate an image representing the pipeline graph
graph_feature_importance	Generate a bar graph of the pipeline’s feature importances
load	Loads pipeline at file path
predict	Make predictions using selected features.
predict_proba	Make probability estimates for labels.
save	Saves pipeline at file path
score	Evaluate model performance on objectives