flink-ml-python/pyflink/ml/regression/common.py

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from abc import ABC, abstractmethod

from pyflink.ml.wrapper import JavaModel, JavaEstimator

JAVA_REGRESSION_PACKAGE_NAME = "org.apache.flink.ml.regression"


class JavaRegressionModel(JavaModel, ABC):
    """
    Wrapper class for a Java Regression Model.
    """

    def __init__(self, java_model):
        super(JavaRegressionModel, self).__init__(java_model)

    @classmethod
    def _java_stage_path(cls) -> str:
        return ".".join(
            [JAVA_REGRESSION_PACKAGE_NAME,
             cls._java_model_package_name(),
             cls._java_model_class_name()])

    @classmethod
    @abstractmethod
    def _java_model_package_name(cls) -> str:
        pass

    @classmethod
    @abstractmethod
    def _java_model_class_name(cls) -> str:
        pass


class JavaRegressionEstimator(JavaEstimator, ABC):
    """
    Wrapper class for a Java Regression Estimator.
    """

    def __init__(self):
        super(JavaRegressionEstimator, self).__init__()

    @classmethod
    def _java_stage_path(cls):
        return ".".join(
            [JAVA_REGRESSION_PACKAGE_NAME,
             cls._java_estimator_package_name(),
             cls._java_estimator_class_name()])

    @classmethod
    @abstractmethod
    def _java_estimator_package_name(cls) -> str:
        pass

    @classmethod
    @abstractmethod
    def _java_estimator_class_name(cls) -> str:
        pass