Merge branch 'master' into SPARK-29464

third_party/3/pyspark/ml/feature.pyi

@@ -11,12 +11,19 @@ from pyspark.ml.wrapper import JavaEstimator, JavaModel,  JavaParams, JavaTransf
 from pyspark.ml.linalg import Vector, DenseVector, DenseMatrix
 from pyspark.sql.dataframe import DataFrame
 
-class Binarizer(JavaTransformer, HasInputCol, HasOutputCol, JavaMLReadable[Binarizer], JavaMLWritable):
+class Binarizer(JavaTransformer, HasThreshold, HasThresholds, HasInputCol, HasOutputCol, HasInputCols, HasOutputCols, JavaMLReadable[Binarizer], JavaMLWritable):
     threshold: Param[float]
-    def __init__(self, *, threshold: float = ..., inputCol: Optional[str] = ..., outputCol: Optional[str] = ...) -> None: ...
+    thresholds: Param[List[float]]
+    @overload
+    def __init__(self, *, inputCol: Optional[str] = ..., outputCol: Optional[str] = ...) -> None: ...
+    @overload
+    def __init__(self, *, threshold: float = ..., thresholds: Optional[List[float]] = ..., inputCols: Optional[List[str]] = ..., outputCols: Optional[List[str]] = ...) -> None: ...
+    @overload
     def setParams(self, *, threshold: float = ..., inputCol: Optional[str] = ..., outputCol: Optional[str] = ...) -> Binarizer: ...
+    @overload
+    def setParams(self, *, thresholds: Optional[List[float]] = ..., inputCols: Optional[List[str]] = ..., outputCols: Optional[List[str]] = ...) -> Binarizer: ...
     def setThreshold(self, value: float) -> Binarizer: ...
-    def getThreshold(self) -> float: ...
+    def setThresholds(self, value: List[float]) -> Binarizer: ...
 
 class _LSHParams(HasInputCol, HasOutputCol):
     numHashTables: Param[int]