docstr: Appends TextNgramFeatureGenerator(vectorizer=vectorizer, text_ngram_params) to the generator group. See text_ngram.py for valid parameters.
docstr_tok: ["Appends","TextNgramFeatureGenerator","(","vectorizer=vectorizer",",","text_ngram_params",")","to","the","generator","group",".","See","text_ngram.py","for","valid","parameters","."]
code: def text_ngram_params(
      self, value: bool = True
  ) -> FeatureGeneratorBuilder:
      """
      Appends TextNgramFeatureGenerator(vectorizer=vectorizer, text_ngram_params) to the generator group. See text_ngram.py for valid parameters.
      """
      self.config["text_ngram_params"] = value
      return self
  
imports: from __future__ import annotations
  import copy
  from typing import Union
  from sklearn.base import BaseEstimator
  from autogluon.core.scheduler import scheduler_factory
  from autogluon.features import AutoMLPipelineFeatureGenerator
  from autogluon.tabular.configs.hyperparameter_configs import hyperparameter_config_dict
  from autogluon.tabular.configs.presets_configs import tabular_presets_dict
  from autogluon.tabular.trainer.model_presets.presets import MODEL_TYPES
label_desc: Use image node_id 10 for calling the FeatureGeneratorBuilder obj's underlying member method code with example usage: obj.text_ngram_params(value) and returns: self