streamline.models.support_vector_machine module

class streamline.models.support_vector_machine.SupportVectorClassifier(cv_folds=3, scoring_metric='balanced_accuracy', metric_direction='maximize', random_state=None, cv=None, n_jobs=None)

Bases: BaseModel, ABC

Base Model Class for all ML Models

Parameters:

• model

• model_name

• cv_folds

• scoring_metric

• metric_direction

• random_state

• cv

• sampler

• n_jobs

color = 'orange'

model_name = 'Support Vector Machine'

objective(trial, params=None)

Unimplemented objective function stub, needs to be overridden :param trial: optuna trial object :param params: dict of optional params or None

small_name = 'SVM'