Ejemplo n.º 1
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def get_algorithm():
    return Algorithm(algorithm_type=RadiusNeighborsClassifier,
                     algorithm_name="RADIUS NEIGHBORS CLASSIFIER",
                     hyper_parameter_dict=param_dict_logistic_regression,
                     discrete_hyper_parameter_dict=discrete_parameter_dict,
                     discrete_hyper_parameter_mapping=discrete_hyper_parameter_mapping,
                     continuous_hyper_parameter_mapping=continuous_hyper_parameter_mapping_index_key_mapping,
                     parameter_constraint_dict=parameter_constraint_dict,
                     constant_hyper_parameter_dict=const_param,
                     bounds=bounds)
Ejemplo n.º 2
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def get_algorithm():
    return Algorithm(algorithm_type=ExtraTreeRegressor,
                     algorithm_name="EXTRA TREE REGRESSION",
                     hyper_parameter_dict=param_dict,
                     discrete_hyper_parameter_dict=discrete_parameter_dict,
                     discrete_hyper_parameter_mapping=discrete_hyper_parameter_mapping,
                     continuous_hyper_parameter_mapping=continuous_hyper_parameter_mapping_index_key_mapping,
                     parameter_constraint_dict=parameter_constraint_dict,
                     constant_hyper_parameter_dict=const_param,
                     bounds=bounds)
Ejemplo n.º 3
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def get_algorithm():
    return Algorithm(algorithm_type=ARDRegression,
                     algorithm_name="ARD REGRESSOR",
                     hyper_parameter_dict=param_dict,
                     discrete_hyper_parameter_dict=discrete_parameter_dict,
                     discrete_hyper_parameter_mapping=discrete_hyper_parameter_mapping,
                     continuous_hyper_parameter_mapping=continuous_hyper_parameter_mapping_index_key_mapping,
                     parameter_constraint_dict=parameter_constraint_dict,
                     constant_hyper_parameter_dict=const_param,
                     bounds=bounds)
Ejemplo n.º 4
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def get_algorithm():
    return Algorithm(algorithm_type=PassiveAggressiveClassifier,
                     algorithm_name="PASSIVE AGRESSIVE CLASSIFIER",
                     hyper_parameter_dict=param_dict,
                     discrete_hyper_parameter_dict=discrete_parameter_dict,
                     discrete_hyper_parameter_mapping=discrete_hyper_parameter_mapping,
                     continuous_hyper_parameter_mapping=continuous_hyper_parameter_mapping_index_key_mapping,
                     parameter_constraint_dict=parameter_constraint_dict,
                     constant_hyper_parameter_dict=const_param,
                     bounds=bounds)
Ejemplo n.º 5
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def get_algorithm():
    return Algorithm(algorithm_type=ExtraTreesClassifier,
                     algorithm_name="EXTRA TREES CLASSIFIER",
                     hyper_parameter_dict=param_dict,
                     discrete_hyper_parameter_dict=discrete_parameter_dict,
                     discrete_hyper_parameter_mapping=discrete_hyper_parameter_mapping,
                     continuous_hyper_parameter_mapping=continuous_hyper_parameter_mapping_index_key_mapping,
                     parameter_constraint_dict=parameter_constraint_dict,
                     constant_hyper_parameter_dict=const_param,
                     bounds=bounds)
def get_algorithm():
    return Algorithm(algorithm_type=ElasticNet,
                     algorithm_name="ELASTIC NET REGRESSOR",
                     hyper_parameter_dict=param_dict,
                     discrete_hyper_parameter_dict=discrete_parameter_dict,
                     discrete_hyper_parameter_mapping=discrete_hyper_parameter_mapping,
                     continuous_hyper_parameter_mapping=continuous_hyper_parameter_mapping_index_key_mapping,
                     parameter_constraint_dict=parameter_constraint_dict,
                     constant_hyper_parameter_dict=const_param,
                     bounds=bounds)
def get_algorithm():
    return Algorithm(algorithm_type=RandomForestRegressor,
                     algorithm_name="RANDOM REGRESSION FOREST",
                     hyper_parameter_dict=param_dict_logistic_regression,
                     discrete_hyper_parameter_dict=discrete_parameter_dict,
                     discrete_hyper_parameter_mapping=discrete_hyper_parameter_mapping,
                     continuous_hyper_parameter_mapping=continuous_hyper_parameter_mapping_index_key_mapping,
                     parameter_constraint_dict=parameter_constraint_dict,
                     constant_hyper_parameter_dict=const_param,
                     bounds=bounds)
def get_algorithm():
    return Algorithm(
        algorithm_type=AdaBoostClassifier,
        algorithm_name="ADABOOST CLASSIFIER",
        hyper_parameter_dict=param_dict,
        discrete_hyper_parameter_dict=discrete_parameter_dict,
        discrete_hyper_parameter_mapping=discrete_hyper_parameter_mapping,
        continuous_hyper_parameter_mapping=
        continuous_hyper_parameter_mapping_index_key_mapping,
        parameter_constraint_dict=parameter_constraint_dict,
        constant_hyper_parameter_dict=const_param,
        bounds=bounds)
Ejemplo n.º 9
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def get_algorithm():
    return Algorithm(
        algorithm_type=LassoLars,
        algorithm_name="LASSOLARS REGRESSOR",
        hyper_parameter_dict=param_dict,
        discrete_hyper_parameter_dict=discrete_parameter_dict,
        discrete_hyper_parameter_mapping=discrete_hyper_parameter_mapping,
        continuous_hyper_parameter_mapping=
        continuous_hyper_parameter_mapping_index_key_mapping,
        parameter_constraint_dict=parameter_constraint_dict,
        constant_hyper_parameter_dict=const_param,
        bounds=bounds)
def get_algorithm():
    return Algorithm(
        algorithm_type=SVC,
        algorithm_name="SVC CLASSIFIER",
        hyper_parameter_dict=param_dict,
        discrete_hyper_parameter_dict=discrete_parameter_dict,
        discrete_hyper_parameter_mapping=discrete_hyper_parameter_mapping,
        continuous_hyper_parameter_mapping=
        continuous_hyper_parameter_mapping_index_key_mapping,
        parameter_constraint_dict=parameter_constraint_dict,
        constant_hyper_parameter_dict=const_param,
        bounds=bounds)
Ejemplo n.º 11
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def get_algorithm():
    return Algorithm(
        algorithm_type=GaussianProcessRegressor,
        algorithm_name="GAUSSIAN PROCESS REGRESSOR",
        hyper_parameter_dict=param_dict,
        discrete_hyper_parameter_dict=discrete_parameter_dict,
        discrete_hyper_parameter_mapping=discrete_hyper_parameter_mapping,
        continuous_hyper_parameter_mapping=
        continuous_hyper_parameter_mapping_index_key_mapping,
        parameter_constraint_dict=parameter_constraint_dict,
        constant_hyper_parameter_dict=const_param,
        bounds=bounds)
def get_algorithm():
    return Algorithm(
        algorithm_type=GradientBoostingRegressor,
        algorithm_name="GRADIENT BOOSTING REGRESSION",
        hyper_parameter_dict=param_dict,
        discrete_hyper_parameter_dict=discrete_parameter_dict,
        discrete_hyper_parameter_mapping=discrete_hyper_parameter_mapping,
        continuous_hyper_parameter_mapping=
        continuous_hyper_parameter_mapping_index_key_mapping,
        parameter_constraint_dict=parameter_constraint_dict,
        constant_hyper_parameter_dict=const_param,
        bounds=bounds)
Ejemplo n.º 13
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def get_algorithm():
    return Algorithm(
        algorithm_type=BayesianRidge,
        algorithm_name="BAYESIAN RIDGE REGRESSOR",
        hyper_parameter_dict=param_dict,
        discrete_hyper_parameter_dict=discrete_parameter_dict,
        discrete_hyper_parameter_mapping=discrete_hyper_parameter_mapping,
        continuous_hyper_parameter_mapping=
        continuous_hyper_parameter_mapping_index_key_mapping,
        parameter_constraint_dict=parameter_constraint_dict,
        constant_hyper_parameter_dict=const_param,
        bounds=bounds)
def get_algorithm():
    return Algorithm(
        algorithm_type=OrthogonalMatchingPursuit,
        algorithm_name="ORTHOGONAL MATCHING PURSUIT REGRESSOR",
        hyper_parameter_dict=param_dict,
        discrete_hyper_parameter_dict=discrete_parameter_dict,
        discrete_hyper_parameter_mapping=discrete_hyper_parameter_mapping,
        continuous_hyper_parameter_mapping=
        continuous_hyper_parameter_mapping_index_key_mapping,
        parameter_constraint_dict=parameter_constraint_dict,
        constant_hyper_parameter_dict=const_param,
        bounds=bounds)
Ejemplo n.º 15
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def get_algorithm():
    return Algorithm(
        algorithm_type=DecisionTreeClassifier,
        algorithm_name="DECISION TREE CLASSIFIER",
        hyper_parameter_dict=param_dict,
        discrete_hyper_parameter_dict=discrete_parameter_dict,
        discrete_hyper_parameter_mapping=discrete_hyper_parameter_mapping,
        continuous_hyper_parameter_mapping=
        continuous_hyper_parameter_mapping_index_key_mapping,
        parameter_constraint_dict=parameter_constraint_dict,
        constant_hyper_parameter_dict=const_param,
        bounds=bounds)
Ejemplo n.º 16
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def get_algorithm():
    return Algorithm(
        algorithm_type=KNeighborsRegressor,
        algorithm_name="KNN REGRESSION",
        hyper_parameter_dict=param_dict_logistic_regression,
        discrete_hyper_parameter_dict=discrete_parameter_dict,
        discrete_hyper_parameter_mapping=discrete_hyper_parameter_mapping,
        continuous_hyper_parameter_mapping=
        continuous_hyper_parameter_mapping_index_key_mapping,
        parameter_constraint_dict=parameter_constraint_dict,
        constant_hyper_parameter_dict=const_param,
        bounds=bounds)