Machine Learning, Embedding, Image Processing, Meteorology.
range(1,6): embed = df[df['centroid_id']==cid].sort_values(by='feature')['numerical_value'].values embed = tf.reshape( tf.convert_to_tensor(embed, dtype=tf.float32), [-1, 50]) outimg = decoder.predict(embed).squeeze() * 60 axarr[ (cid-1)//2, (cid-1)%2].imshow(outimg, origin='lower'); 12.15992 Here