def predict(self, test_set):

        with tf.Session() as self.tf_session:
            self.tf_saver.restore(self.tf_session, self.model_path)
            return self.model_predictions.eval({self.input_data: test_set,
                                                self.keep_prob: 1})
Set of observed characters in the sequence.
dataset/ETHPy150Open blackecho/Deep-Learning-TensorFlow/models/autoencoder_models/stacked_denoising_autoencoder.py/StackedDenoisingAutoencoder.predict--crossover with--dataset/ETHPy150Open biocore/scikit-bio/skbio/sequence/_sequence.py/Sequence.observed_chars