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__init__.py
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__init__.py
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from .linear import (SklearnLinearModelAssembler,
StatsmodelsLinearModelAssembler)
from .tree import TreeModelAssembler
from .ensemble import RandomForestModelAssembler
from .boosting import (XGBoostModelAssemblerSelector,
XGBoostTreeModelAssembler,
XGBoostLinearModelAssembler,
LightGBMModelAssembler)
from .svm import SVMModelAssembler
from .meta import RANSACModelAssembler
__all__ = [
SklearnLinearModelAssembler,
StatsmodelsLinearModelAssembler,
RANSACModelAssembler,
TreeModelAssembler,
RandomForestModelAssembler,
XGBoostModelAssemblerSelector,
XGBoostTreeModelAssembler,
XGBoostLinearModelAssembler,
LightGBMModelAssembler,
SVMModelAssembler,
]
SUPPORTED_MODELS = {
# LightGBM
"lightgbm_LGBMClassifier": LightGBMModelAssembler,
"lightgbm_LGBMRegressor": LightGBMModelAssembler,
# XGBoost
"xgboost_XGBClassifier": XGBoostModelAssemblerSelector,
"xgboost_XGBRFClassifier": XGBoostModelAssemblerSelector,
"xgboost_XGBRegressor": XGBoostModelAssemblerSelector,
"xgboost_XGBRFRegressor": XGBoostModelAssemblerSelector,
# Sklearn SVM
"sklearn_LinearSVC": SklearnLinearModelAssembler,
"sklearn_LinearSVR": SklearnLinearModelAssembler,
"sklearn_NuSVC": SVMModelAssembler,
"sklearn_NuSVR": SVMModelAssembler,
"sklearn_SVC": SVMModelAssembler,
"sklearn_SVR": SVMModelAssembler,
# Lightning SVM
"lightning_LinearSVC": SklearnLinearModelAssembler,
"lightning_LinearSVR": SklearnLinearModelAssembler,
# Sklearn Linear Regressors
"sklearn_ARDRegression": SklearnLinearModelAssembler,
"sklearn_BayesianRidge": SklearnLinearModelAssembler,
"sklearn_ElasticNet": SklearnLinearModelAssembler,
"sklearn_ElasticNetCV": SklearnLinearModelAssembler,
"sklearn_HuberRegressor": SklearnLinearModelAssembler,
"sklearn_Lars": SklearnLinearModelAssembler,
"sklearn_LarsCV": SklearnLinearModelAssembler,
"sklearn_Lasso": SklearnLinearModelAssembler,
"sklearn_LassoCV": SklearnLinearModelAssembler,
"sklearn_LassoLars": SklearnLinearModelAssembler,
"sklearn_LassoLarsCV": SklearnLinearModelAssembler,
"sklearn_LassoLarsIC": SklearnLinearModelAssembler,
"sklearn_LinearRegression": SklearnLinearModelAssembler,
"sklearn_OrthogonalMatchingPursuit": SklearnLinearModelAssembler,
"sklearn_OrthogonalMatchingPursuitCV": SklearnLinearModelAssembler,
"sklearn_PassiveAggressiveRegressor": SklearnLinearModelAssembler,
"sklearn_RANSACRegressor": RANSACModelAssembler,
"sklearn_Ridge": SklearnLinearModelAssembler,
"sklearn_RidgeCV": SklearnLinearModelAssembler,
"sklearn_SGDRegressor": SklearnLinearModelAssembler,
"sklearn_TheilSenRegressor": SklearnLinearModelAssembler,
# Statsmodels Linear Regressors
"statsmodels_RegressionResultsWrapper": StatsmodelsLinearModelAssembler,
"statsmodels_RegularizedResultsWrapper": StatsmodelsLinearModelAssembler,
# Lightning Linear Regressors
"lightning_AdaGradRegressor": SklearnLinearModelAssembler,
"lightning_CDRegressor": SklearnLinearModelAssembler,
"lightning_FistaRegressor": SklearnLinearModelAssembler,
"lightning_SAGARegressor": SklearnLinearModelAssembler,
"lightning_SAGRegressor": SklearnLinearModelAssembler,
"lightning_SDCARegressor": SklearnLinearModelAssembler,
# Sklearn Linear Classifiers
"sklearn_LogisticRegression": SklearnLinearModelAssembler,
"sklearn_LogisticRegressionCV": SklearnLinearModelAssembler,
"sklearn_PassiveAggressiveClassifier": SklearnLinearModelAssembler,
"sklearn_Perceptron": SklearnLinearModelAssembler,
"sklearn_RidgeClassifier": SklearnLinearModelAssembler,
"sklearn_RidgeClassifierCV": SklearnLinearModelAssembler,
"sklearn_SGDClassifier": SklearnLinearModelAssembler,
# Lightning Linear Classifiers
"lightning_AdaGradClassifier": SklearnLinearModelAssembler,
"lightning_CDClassifier": SklearnLinearModelAssembler,
"lightning_FistaClassifier": SklearnLinearModelAssembler,
"lightning_SAGAClassifier": SklearnLinearModelAssembler,
"lightning_SAGClassifier": SklearnLinearModelAssembler,
"lightning_SDCAClassifier": SklearnLinearModelAssembler,
"lightning_SGDClassifier": SklearnLinearModelAssembler,
# Decision trees
"sklearn_DecisionTreeClassifier": TreeModelAssembler,
"sklearn_DecisionTreeRegressor": TreeModelAssembler,
"sklearn_ExtraTreeClassifier": TreeModelAssembler,
"sklearn_ExtraTreeRegressor": TreeModelAssembler,
# Ensembles
"sklearn_ExtraTreesClassifier": RandomForestModelAssembler,
"sklearn_ExtraTreesRegressor": RandomForestModelAssembler,
"sklearn_RandomForestClassifier": RandomForestModelAssembler,
"sklearn_RandomForestRegressor": RandomForestModelAssembler,
}
def _get_full_model_name(model):
type_name = type(model)
return "{}_{}".format(type_name.__module__.split(".")[0],
type_name.__name__)
def get_assembler_cls(model):
model_name = _get_full_model_name(model)
assembler_cls = SUPPORTED_MODELS.get(model_name)
if not assembler_cls:
raise NotImplementedError(
"Model {} is not supported".format(model_name))
return assembler_cls