class_docstr: Intent classifier using the Logistic Regression.
docstr: Creates a new untrained component (see parent class for full docstring).
docstr_tok: ["Creates","a","new","untrained","component","(","see","parent","class","for","full","docstring",")","."]
code: def create(
      cls,
      config: Dict[Text, Any],
      model_storage: ModelStorage,
      resource: Resource,
      execution_context: ExecutionContext,
  ) -> "LogisticRegressionClassifier":
      """Creates a new untrained component (see parent class for full docstring)."""
      return cls(
          config, execution_context.node_name, model_storage, resource
      )
  
imports: import logging
  from typing import Any, Text, Dict, List, Type, Tuple
  import joblib
  from scipy.sparse import hstack, vstack, csr_matrix
  from sklearn.linear_model import LogisticRegression
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.engine.graph import ExecutionContext, GraphComponent
  from rasa.nlu.classifiers import LABEL_RANKING_LENGTH
  from rasa.nlu.featurizers.featurizer import Featurizer
  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.shared.nlu.constants import TEXT, INTENT
  from rasa.utils.tensorflow.constants import RANKING_LENGTH
label_desc: Use image node_id 8 for calling the LogisticRegressionClassifier obj's underlying member method code with example usage: obj.create(cls, config, model_storage, resource, execution_context) and returns: cls