hyperimpute.plugins.prediction.regression package

class Regression

Bases: PluginLoader

class RegressionPlugin(**kwargs: Any)

Bases: RegressorMixin, BaseEstimator, PredictionPlugin

Base class for the regression plugins.

It provides the implementation for plugin.Plugin’s subtype, _fit and _predict methods.

Each derived class must implement the following methods(inherited from plugin.Plugin):

name() - a static method that returns the name of the plugin. hyperparameter_space() - a static method that returns the hyperparameters that can be tuned during the optimization. The method will return a list of Params derived objects.

If any method implementation is missing, the class constructor will fail.

_abc_impl = <_abc_data object>

_predict_proba(X: DataFrame, *args: Any, **kwargs: Any) → DataFrame

fit(X: DataFrame, *args: Any, **kwargs: Any) → RegressionPlugin

get_args() → dict

static hyperparameter_space(*args: Any, **kwargs: Any) → List[Params]

module_relative_path: Optional[Path]

static subtype() → str

Submodules

• hyperimpute.plugins.prediction.regression.base module
  • RegressionPlugin
    • RegressionPlugin._abc_impl
    • RegressionPlugin._predict_proba()
    • RegressionPlugin.fit()
    • RegressionPlugin.get_args()
    • RegressionPlugin.hyperparameter_space()
    • RegressionPlugin.module_relative_path
    • RegressionPlugin.subtype()
• hyperimpute.plugins.prediction.regression.plugin_catboost_regressor module
  • CatBoostRegressorPlugin
    • CatBoostRegressorPlugin._abc_impl
    • CatBoostRegressorPlugin._fit()
    • CatBoostRegressorPlugin._predict()
    • CatBoostRegressorPlugin._predict_proba()
    • CatBoostRegressorPlugin.grow_policies
    • CatBoostRegressorPlugin.hyperparameter_space()
    • CatBoostRegressorPlugin.name()
  • plugin
• hyperimpute.plugins.prediction.regression.plugin_kneighbors_regressor module
  • KNeighborsRegressorPlugin
    • KNeighborsRegressorPlugin._abc_impl
    • KNeighborsRegressorPlugin._fit()
    • KNeighborsRegressorPlugin._predict()
    • KNeighborsRegressorPlugin.algorithm
    • KNeighborsRegressorPlugin.hyperparameter_space()
    • KNeighborsRegressorPlugin.module_relative_path
    • KNeighborsRegressorPlugin.name()
    • KNeighborsRegressorPlugin.weights
  • plugin
• hyperimpute.plugins.prediction.regression.plugin_linear_regression module
  • LinearRegressionPlugin
    • LinearRegressionPlugin._abc_impl
    • LinearRegressionPlugin._fit()
    • LinearRegressionPlugin._predict()
    • LinearRegressionPlugin.hyperparameter_space()
    • LinearRegressionPlugin.module_relative_path
    • LinearRegressionPlugin.name()
    • LinearRegressionPlugin.solvers
  • plugin
• hyperimpute.plugins.prediction.regression.plugin_mlp_regressor module
  • MLPRegressionPlugin
    • MLPRegressionPlugin._abc_impl
    • MLPRegressionPlugin._fit()
    • MLPRegressionPlugin._predict()
    • MLPRegressionPlugin.hyperparameter_space()
    • MLPRegressionPlugin.module_relative_path
    • MLPRegressionPlugin.name()
  • plugin
• hyperimpute.plugins.prediction.regression.plugin_neural_nets_regression module
  • BasicNet
    • BasicNet._backward_hooks
    • BasicNet._buffers
    • BasicNet._check_tensor()
    • BasicNet._forward_hooks
    • BasicNet._forward_pre_hooks
    • BasicNet._is_full_backward_hook
    • BasicNet._load_state_dict_post_hooks
    • BasicNet._load_state_dict_pre_hooks
    • BasicNet._modules
    • BasicNet._non_persistent_buffers_set
    • BasicNet._parameters
    • BasicNet._state_dict_hooks
    • BasicNet.forward()
    • BasicNet.train()
    • BasicNet.training
  • NeuralNetsRegressionPlugin
    • NeuralNetsRegressionPlugin._abc_impl
    • NeuralNetsRegressionPlugin._fit()
    • NeuralNetsRegressionPlugin._predict()
    • NeuralNetsRegressionPlugin.hyperparameter_space()
    • NeuralNetsRegressionPlugin.module_relative_path
    • NeuralNetsRegressionPlugin.name()
  • plugin
• hyperimpute.plugins.prediction.regression.plugin_random_forest_regressor module
  • RandomForestRegressionPlugin
    • RandomForestRegressionPlugin._abc_impl
    • RandomForestRegressionPlugin._fit()
    • RandomForestRegressionPlugin._predict()
    • RandomForestRegressionPlugin.criterions
    • RandomForestRegressionPlugin.features
    • RandomForestRegressionPlugin.hyperparameter_space()
    • RandomForestRegressionPlugin.module_relative_path
    • RandomForestRegressionPlugin.name()
  • plugin
• hyperimpute.plugins.prediction.regression.plugin_svm module
  • SVMPlugin
    • SVMPlugin._abc_impl
    • SVMPlugin._fit()
    • SVMPlugin._predict()
    • SVMPlugin.hyperparameter_space()
    • SVMPlugin.kernels
    • SVMPlugin.module_relative_path
    • SVMPlugin.name()
  • plugin
• hyperimpute.plugins.prediction.regression.plugin_xgboost_regressor module
  • XGBoostRegressorPlugin
    • XGBoostRegressorPlugin._abc_impl
    • XGBoostRegressorPlugin._fit()
    • XGBoostRegressorPlugin._predict()
    • XGBoostRegressorPlugin.grow_policy
    • XGBoostRegressorPlugin.hyperparameter_space()
    • XGBoostRegressorPlugin.module_relative_path
    • XGBoostRegressorPlugin.name()
  • plugin