def _create_placeholders(self, n_features):
        """Create the TensorFlow placeholders for the model.

        :return: self
        """
        self.input_data_orig = tf.placeholder(
            tf.float32, [None, n_features], name='x-input')
        self.input_data = tf.placeholder(
            tf.float32, [None, n_features], name='x-corr-input')
        # not used in this model, created just to comply
        # with unsupervised_model.py
        self.input_labels = tf.placeholder(tf.float32)
        self.keep_prob = tf.placeholder(tf.float32, name='keep-probs')
Create the TensorFlow placeholders for the model.

        :return: self
        
yadlt/models/autoencoders/denoising_autoencoder.py