Machine Learning, Python, Towards Data Science, Dimensionality Reduction, Data Visualization.
first index which is above the given information threshold index = next(idx for idx, value in enumerate(ladder) if value >= keep_info) + 1 n_dimensions = index with self.graph.as_default(): # Cut out the relevant part from sigma sigma = tf.slice(self.sigma, [0, 0], [self.data.shape[1],