class_docstr: Defines the top-level RAITextInsights API.
  
  Use RAITextInsights to assess text machine learning models in a
  single API.
class_docstr_tok: ["Defines","the","top-level","RAITextInsights","API",".","Use","RAITextInsights","to","assess","text","machine","learning","models","in","a","single","API","."]
docstr: Save the metadata like target column, categorical features,
     task type and the classes (if any).
  
  :param path: The directory path to save the RAITextInsights to.
  :type path: str
docstr_tok: ["Save","the","metadata","like","target","column",",","categorical","features",",","task","type","and","the","classes","(","if","any",")",".",":","param","path",":","The","directory","path","to","save","the","RAITextInsights","to",".",":","type","path",":","str"]
code: def _save_metadata(self, path):
      """Save the metadata like target column, categorical features,
         task type and the classes (if any).
  
      :param path: The directory path to save the RAITextInsights to.
      :type path: str
      """
      top_dir = Path(path)
      classes = convert_to_list(self._classes)
      feature_metadata_dict = self._feature_metadata.to_dict()
      meta = {
          _TARGET_COLUMN: self.target_column,
          _TASK_TYPE: self.task_type,
          _CLASSES: classes,
          _FEATURE_METADATA: feature_metadata_dict,
          _TEXT_COLUMN: self._text_column,
      }
      with open(top_dir / _META_JSON, "w") as file:
          json.dump(meta, file)
  
imports: import json
  import logging
  import pickle
  import warnings
  from enum import Enum
  from pathlib import Path
  from typing import Any, List, Optional, Union
  import numpy
  import pandas
  from ml_wrappers import wrap_model
  from erroranalysis._internal.cohort_filter import FilterDataWithCohortFilters
  from raiutils.data_processing import convert_to_list, serialize_json_safe
  from raiutils.models import SKLearn, is_classifier
  from responsibleai._interfaces import Dataset, RAIInsightsData
  from responsibleai._internal.constants import ManagerNames, Metadata, SerializationAttributes
  from responsibleai.exceptions import UserConfigValidationException
  from responsibleai.feature_metadata import FeatureMetadata
  from responsibleai.rai_insights.rai_base_insights import RAIBaseInsights
  from responsibleai_text.common.constants import ModelTask
  from responsibleai_text.managers.error_analysis_manager import ErrorAnalysisManager
  from responsibleai_text.managers.explainer_manager import ExplainerManager
  from responsibleai_text.utils.feature_extractors import extract_features, get_text_columns
label_desc: Use image node_id 19 for calling the RAITextInsights obj's underlying member method code with example usage: obj._save_metadata(path) without return types