class_docstr: Intent classifier using the sklearn framework.
class_docstr_tok: ["Intent","classifier","using","the","sklearn","framework","."]
docstr: Construct a new intent classifier using the sklearn framework.
docstr_tok: ["Construct","a","new","intent","classifier","using","the","sklearn","framework","."]
code: def __init__(
      self,
      config: Dict[Text, Any],
      model_storage: ModelStorage,
      resource: Resource,
      clf: Optional["sklearn.model_selection.GridSearchCV"] = None,
      le: Optional["sklearn.preprocessing.LabelEncoder"] = None,
  ) -> None:
      """Construct a new intent classifier using the sklearn framework."""
      from sklearn.preprocessing import LabelEncoder
  
      self.component_config = config
      self._model_storage = model_storage
      self._resource = resource
  
      if le is not None:
          self.le = le
      else:
          self.le = LabelEncoder()
      self.clf = clf
  
imports: from __future__ import annotations
  import logging
  from rasa.nlu.featurizers.dense_featurizer.dense_featurizer import DenseFeaturizer
  import typing
  import warnings
  from typing import Any, Dict, List, Optional, Text, Tuple, Type
  import numpy
  import rasa.shared.utils.io
  import rasa.utils.io
  from rasa.engine.graph import GraphComponent, ExecutionContext
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.shared.constants import DOCS_URL_TRAINING_DATA_NLU
  from rasa.nlu.classifiers import LABEL_RANKING_LENGTH
  from rasa.shared.exceptions import RasaException
  from rasa.shared.nlu.constants import TEXT
  from rasa.nlu.classifiers.classifier import IntentClassifier
  from rasa.shared.nlu.training_data.training_data import TrainingData
  from rasa.shared.nlu.training_data.message import Message
  from rasa.utils.tensorflow.constants import FEATURIZERS
label_desc: Use image node_id 3 to create a new SklearnIntentClassifier object from inherited base classes: GraphComponent, IntentClassifier with example: obj = SklearnIntentClassifier(config, model_storage, resource, clf, le)