predict_proba - CatBoostClassifier | CatBoost
catboost.ai › docs › conceptspredict_proba. Apply the model to the given dataset to predict the probability that the object belongs to the given classes. The model prediction results will be correct only if the data parameter with feature values contains all the features used in the model. Typically, the order of these features must match the order of the corresponding ...
No model.predict_proba or model.predict_classes using ...
github.com › keras-team › kerasApr 26, 2016 · x: input data, as a Numpy array or list of Numpy arrays (if the model has multiple inputs). batch_size: integer. verbose: verbosity mode, 0 or 1. # Returns A numpy array of class predictions. ''' proba = self.predict(x, batch_size=batch_size, verbose=verbose) if proba.shape[-1] > 1: return proba.argmax(axis=-1) else: return (proba > 0.5).astype('int32') —