spark-instrumented-optimizer/python/pyspark/mllib/common.pyi

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from typing import Any, TypeVar

import pyspark.context

from py4j.java_gateway import JavaObject

C = TypeVar("C", bound=type)

def callJavaFunc(sc: pyspark.context.SparkContext, func: Any, *args: Any) -> Any: ...
def callMLlibFunc(name: str, *args: Any) -> Any: ...

class JavaModelWrapper:
    def __init__(self, java_model: JavaObject) -> None: ...
    def __del__(self) -> None: ...
    def call(self, name: str, *a: Any) -> Any: ...

def inherit_doc(cls: C) -> C: ...