docstr: Predict probabilities using the model
  :param dataframe: Dataframe against which to make predictions
docstr_tok: ["Predict","probabilities","using","the","model",":","param","dataframe",":","Dataframe","against","which","to","make","predictions"]
code: def predict_proba(self, dataframe):
      """Predict probabilities using the model
      :param dataframe: Dataframe against which to make predictions
      """
      ret = numpy.ones((dataframe.shape[0], 2))
      ret[:, 0] = 1 - self.mean
      ret[:, 1] = self.mean
      return ret
  
imports: from __future__ import absolute_import
  import inspect
  import logging
  import lore
  from lore.env import require
  import lore.estimators
  from lore.util import timed, before_after_callbacks
  import numpy
label_desc: Use image node_id 2 for calling the BinaryClassifier obj's underlying member method code with example usage: obj.predict_proba(dataframe) and returns: ret