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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def predict_task_proba(self, X, t=0, **kwargs):
 """Predicts probabilistic labels for an input X on task t Args: X: The input for the predict_proba method t: The task index to predict for which to predict probabilities Returns: An [n, K_t] tensor of predictions for task t NOTE: By default, this method calls predict_proba and extracts element t. If it is possible to predict individual tasks in isolation, however, this method may be overriden for efficiency's sake. """

        return self.predict_proba(X, **kwargs)[t]