def print_change(predictions, actual):
pred_change = np.array(
[predictions[i] - predictions[i - 1] for i in range(1, len(actual))])
act_change = np.array(
[actual[i] - actual[i - 1] for i in range(1, len(actual))])
print('v2 classifier')
print_table_headers()
for i in range(len(pred_change)):
if i == 15:
print_table_end('2b')
print('\nv3 classifier:')
print_table_headers()
if (pred_change[i] < 0 and act_change[i] < 0):
print(pred_change[i], '&', act_change[i], '&',
abs(pred_change[i] - act_change[i]), '\\\\')
elif (pred_change[i] >= 0 and act_change[i] >= 0):
print(pred_change[i], '&', act_change[i], '&',
abs(pred_change[i] - act_change[i]), '\\\\')
else:
print('\\rowcolor{red!10}')
print(pred_change[i], '&', act_change[i], '&',
abs(pred_change[i] - act_change[i]), '\\\\')
print_table_end('3')
actual = dl.read_actual_data()
predictions = dl.read_predictions_data()[:len(actual)]
print_change(predictions, actual)
def create_history_plot():
actual = dl.read_actual_data()
predictions = dl.read_predictions_data()[:len(actual)]
weather = dl.weather_data_multiplied(100)
plot.plot_history(predictions, actual, weather[-len(predictions):])
print('\\end{tabular}')
print('\\caption{Predicted and actual change in cyclist count between predictions with version '
+ version_number + ' classifier, as well as the absolute difference between the '
+ 'prediction and actual value.}')
print('\\label{table:v' + version_number + '}')
print('\\end{table}')
def print_change(predictions, actual):
pred_change = np.array([predictions[i] - predictions[i - 1] for i in range(1, len(actual))])
act_change = np.array([actual[i] - actual[i - 1] for i in range(1, len(actual))])
print('v2 classifier')
print_table_headers()
for i in range(len(pred_change)):
if i == 15:
print_table_end('2b')
print('\nv3 classifier:')
print_table_headers()
if (pred_change[i] < 0 and act_change[i] < 0):
print(pred_change[i], '&', act_change[i], '&', abs(pred_change[i] - act_change[i]), '\\\\')
elif (pred_change[i] >= 0 and act_change[i] >= 0):
print(pred_change[i], '&', act_change[i], '&', abs(pred_change[i] - act_change[i]), '\\\\')
else:
print('\\rowcolor{red!10}')
print(pred_change[i], '&', act_change[i], '&', abs(pred_change[i] - act_change[i]), '\\\\')
print_table_end('3')
actual = dl.read_actual_data()
predictions = dl.read_predictions_data()[:len(actual)]
print_change(predictions, actual)
def create_history_plot():
actual = dl.read_actual_data()
predictions = dl.read_predictions_data()[:len(actual)]
weather = dl.weather_data_multiplied(100)
plot.plot_history(predictions, actual, weather[-len(predictions):])
