def run(dataset, params, resultdir=".", use_params=True):
pipeline_parameters = {}
if use_params:
pipeline_parameters[GaussianNB] = params
pipeline_components = [RobustScaler, GaussianNB]
return evaluate_model(dataset, pipeline_components, pipeline_parameters, resultdir=resultdir)
def run(dataset, params, resultdir=".", use_params=True):
pipeline_parameters = {}
if use_params:
pipeline_parameters[MultinomialNB] = params
pipeline_components = [MinMaxScaler, MultinomialNB]
return evaluate_model(dataset, pipeline_components, pipeline_parameters, resultdir=resultdir)
def run(dataset, params, resultdir=".", use_params=True):
pipeline_parameters = {}
if use_params:
pipeline_parameters[PassiveAggressiveClassifier] = params
pipeline_components = [RobustScaler, PassiveAggressiveClassifier]
return evaluate_model(dataset,
pipeline_components,
pipeline_parameters,
resultdir=resultdir)
def run(dataset, params, resultdir=".", use_params=True):
pipeline_parameters = {}
if use_params:
pipeline_parameters[LogisticRegression] = params
pipeline_components = [RobustScaler, LogisticRegression]
return evaluate_model(dataset,
pipeline_components,
pipeline_parameters,
resultdir=resultdir)
