python/pyspark/ml/tests/typing/test_classification.yml

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- case: oneVsRest
  main: |
    from pyspark.ml.classification import (
        OneVsRest, OneVsRestModel, LogisticRegression, LogisticRegressionModel
    )

    # Should support
    OneVsRest(classifier=LogisticRegression())
    OneVsRest(classifier=LogisticRegressionModel.load("/foo"))  # E: Argument "classifier" to "OneVsRest" has incompatible type "LogisticRegressionModel"; expected "Classifier[Never] | None"  [arg-type]
    OneVsRest(classifier="foo")  # E: Argument "classifier" to "OneVsRest" has incompatible type "str"; expected "Classifier[Never] | None"  [arg-type]


- case: fitFMClassifier
  main: |
    from pyspark.sql import SparkSession
    from pyspark.ml.classification import FMClassifier, FMClassificationModel

    spark = SparkSession.builder.getOrCreate()
    fm_model: FMClassificationModel = FMClassifier().fit(spark.read.parquet("/foo"))
    fm_model.linear.toArray()
    fm_model.factors.numRows