def predict_proba(self):
"""
The predict_proba compute the probabilities predicted for each x row defined in add_input.
Returns
-------
pandas.DataFrame
A dataset with all probabilities of each label if there is no ypred data or a dataset with ypred and the associated probability.
Example
--------
>>> predictor.add_input(x=xtest_df)
>>> predictor.predict_proba()
"""
return predict_proba(self.model, self.data["x_preprocessed"], self._classes)
def predict_proba(self):
"""
The predict_proba compute the proba values for each x_init row
"""
self.proba_values = predict_proba(self.model, self.x_init, self._classes)
