class_docstr: ```
  predicts text classes
  ```
class_docstr_tok: ["``","`","predicts","text","classes","``","`"]
docstr: ```
  Makes predictions for a list of strings where each string is a document
  or text snippet.
  Returns probabilities of each class.
  ```
docstr_tok: ["``","`","Makes","predictions","for","a","list","of","strings","where","each","string","is","a","document","or","text","snippet",".","Returns","probabilities","of","each","class",".","``","`"]
code: def predict_proba(self, texts, verbose=0):
      """
      ```
      Makes predictions for a list of strings where each string is a document
      or text snippet.
      Returns probabilities of each class.
      ```
      """
      return self.predict(texts, return_proba=True, verbose=verbose)
  
file_path: ktrain/ktrain/text/predictor.py
imports: from ..None import utils
  from ..imports import *
  from ..predictor import Predictor
  from .preprocessor import TextPreprocessor, TransformersPreprocessor, detect_text_format
label_desc: Use image node_id 4 for calling the TextPredictor obj's underlying member method code with example usage: obj.predict_proba(texts, verbose) and returns: self