<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def reconstruct(self, data, graph=None):
 """Reconstruct data according to the model. Parameters data : array_like, shape (n_samples, n_features) Data to transform. graph : tf.Graph, optional (default = None) Tensorflow Graph object Returns ------- array_like, transformed data """

        g = graph if graph is not None else self.tf_graph

        with g.as_default():
            with tf.Session() as self.tf_session:
                self.tf_saver.restore(self.tf_session, self.model_path)
                feed = {self.input_data: data, self.keep_prob: 1}
                return self.reconstruction.eval(feed)