def evaluate_nn_accuracy(higgs_data, n_components):
transformations, times = reduce_higgs(higgs_data, n_components)
results = []
for name, transformation in transformations.iteritems():
data = {'features': transformation, 'weights': higgs_data[1], 'labels': higgs_data[2]}
nn_res = nn.run_neural_net(data)
result = [name] + list(nn_res) + [times[name]]
results.append(result)
df = pd.DataFrame.from_records(results, columns=['algo', 'epocs', 'trnerr', 'tsterr', 'transformation_time'])
return df
def neural_net_post_clustering(data):
return run_neural_net(data)