code: def classify(self, text, nlp):
      X, y = self._get_features_and_labels_from_documents_and_indexes(
          self._category_doc_iter,
          self._category_idx_store,
          self._term_idx_store,
      )
  
file_path: scattertext/scattertext/DeployedClassifier.py
imports: from sklearn.linear_model import PassiveAggressiveClassifier
  from statsmodels.distributions import ECDF
label_desc: Use image node_id 2 for calling the DeployedClassifier obj's underlying member method code with example usage: obj.classify(text, nlp) without return types