class_docstr: Model fitted by MaxAbsScaler.
  
  .. versionadded:: 3.5.0
class_docstr_tok: ["Model","fitted","by","MaxAbsScaler",".","..","versionadded",":",":","3.5.0"]
code: def _load_core_model(self, path: str) -> None:
      with open(path, "rb") as fp:
          sk_model = pickle.load(fp)
  
      self.max_abs_values = sk_model.max_abs_
      self.scale_values = sk_model.scale_
      self.n_samples_seen = sk_model.n_samples_seen_
  
imports: import pickle
  from typing import Any, Union, List, Tuple, Callable, Dict, Optional
  import numpy
  import pandas
  from pyspark import keyword_only
  from pyspark.sql import DataFrame
  from pyspark.ml.param.shared import HasInputCol, HasInputCols, HasOutputCol, HasFeatureSizes, HasHandleInvalid, Param, Params, TypeConverters
  from pyspark.ml.connect.base import Estimator, Model, Transformer
  from pyspark.ml.connect.io_utils import ParamsReadWrite, CoreModelReadWrite
  from pyspark.ml.connect.summarizer import summarize_dataframe
label_desc: Use image node_id 7 for calling the MaxAbsScalerModel obj's underlying member method code with example usage: obj._load_core_model(path) without return types