class_docstr: Model for prediction tasks (regression and classification).
docstr: Predict label for the given features.
docstr_tok: ["Predict","label","for","the","given","features","."]
code: def predict(self, value: T) -> float:
      """
      Predict label for the given features.
      """
      raise NotImplementedError()
  
imports: from abc import ABCMeta, abstractmethod
  import copy
  import threading
  from typing import Any, Callable, Generic, Iterator, List, Optional, Sequence, Tuple, TypeVar, Union, cast, overload, TYPE_CHECKING
  from pyspark import since
  from pyspark.ml.param import P
  from pyspark.ml.common import inherit_doc
  from pyspark.ml.param.shared import HasInputCol, HasOutputCol, HasLabelCol, HasFeaturesCol, HasPredictionCol, Params
  from pyspark.sql.dataframe import DataFrame
  from pyspark.sql.functions import udf
  from pyspark.sql.types import DataType, StructField, StructType
label_desc: Use image node_id 4 for calling the PredictionModel obj's underlying member method code with example usage: obj.predict(value) without return types