code: def predict_proba(self, X: np.ndarray, **kwargs):
      X = X.reshape(-1, self.input_length, self.n_features)
      predictions = self.model.predict(X, **kwargs)[:, self.class_pos]
      predictions = predictions.reshape(-1, 1)
      return predictions
  
imports: from typing import Callable
  import numpy
label_desc: Use image node_id 3 for calling the Tensor_Based_Classification_Model obj's underlying member method code with example usage: obj.predict_proba(X) and returns: predictions