class_docstr: Classifies a set of documents into 1 of N classes.
  
  :param config: A :py:class:`finetune.config.Settings` object or None (for default config).
  :param \**kwargs: key-value pairs of config items to override.
class_docstr_tok: ["Classifies","a","set","of","documents","into","1","of","N","classes",".",":","param","config",":","A",":","py",":","class",":","`","finetune.config.Settings","`","object","or","None","(","for","default","config",")",".",":","param","\\","*","*","kwargs",":","key-value","pairs","of","config","items","to","override","."]
docstr: Produces probability distribution over classes for each example in X.
  
  :param \*Xs: lists of text inputs, shape [batch, n_fields]
  :returns: list of dictionaries.  Each dictionary maps from X2 class label to its assigned class probability.
docstr_tok: ["Produces","probability","distribution","over","classes","for","each","example","in","X.",":","param","\\","*","Xs",":","lists","of","text","inputs",",","shape","[","batch",",","n_fields","]",":","returns",":","list","of","dictionaries",".","Each","dictionary","maps","from","X2","class","label","to","its","assigned","class","probability","."]
code: def predict_proba(self, Xs, context=None, **kwargs):
      """
      Produces probability distribution over classes for each example in X.
  
      :param \*Xs: lists of text inputs, shape [batch, n_fields]
      :returns: list of dictionaries.  Each dictionary maps from X2 class label to its assigned class probability.
      """
      return BaseModel.predict_proba(
          self, Xs, context=context, **kwargs
      )
  
imports: import copy
  from finetune.errors import FinetuneError
  from finetune.target_models.classifier import Classifier, ClassificationPipeline
  from finetune.target_models.regressor import Regressor, RegressionPipeline
  from finetune.base import BaseModel
label_desc: Use image node_id 5 for calling the MultiFieldClassifier obj's underlying member method code with example usage: obj.predict_proba(Xs, context) and returns: BaseModel