[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': 'Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:from ipywidgets import interact, fixed\n@interact(X=fixed(X), Y=fixed(Y), view_index=(0, len(states)-1), states=fixed(states))\ndef plot(X, Y, view_index, states):\n"""View decision boundary over time\nWe have the state of the model (i.e. its parameters) after every time step.\nWe want to see how the model learns over time. Hence create a one-off instance\nof a softmax with its old parameters and ask it to make a bunch of predictions!\n"""\ns = states[view_index]\nnn = RecurrentNeuralNetwork(X, Y, H=NUM_HIDDEN, C=NUM_CLASSES, Whh=s.Whh, bhh=s.bhh, Wxh=s.Wxh, bxh=s.bxh)\ncolormap = np.array([\'r\', \'b\'])\naxes = df.plot(kind=\'scatter\', x=\'x0\', y=\'y0\', c=colormap[df[\'label\']], title=\'Ground Truth\', s=0)\naxes.quiver(df[\'x0\'], df[\'y0\'], df[\'dx0\'], df[\'dy0\'], color=colormap[df[\'label\']], scale_units=\'xy\', angles=\'xy\', scale=2.5, width=.0022)\nscores, predictions = rnn.predict(X)\ndf[\'predictions\'] = predictions\naxes = df.plot(kind=\'scatter\', x=\'x0\', y=\'y0\', c=colormap[df[\'predictions\']], title=\'Predictions\', s=0)\naxes.quiver(df[\'x0\'], df[\'y0\'], df[\'dx0\'], df[\'dy0\'], color=colormap[df[\'predictions\']], scale_units=\'xy\', angles=\'xy\', scale=2.5, width=.0022)\ndf[\'correct\'] = df[\'label\'] == df[\'predictions\']\naxes = df.plot(kind=\'scatter\', x=\'x0\', y=\'y0\', c=colormap[df[\'correct\']], title=\'Missclassified\', s=0)\naxes.quiver(df[\'x0\'], df[\'y0\'], df[\'dx0\'], df[\'dy0\'], color=colormap[df[\'correct\']], scale_units=\'xy\', angles=\'xy\', scale=2.5, width=.0022)'}, {'role': 'assistant', 'content': "['helper_functions', 'evaluation', 'result_visualization']"}]