def sgd_mlp():
(train_errors, val_errors, train_average_precision_scores,
val_average_precision_scores) = open_pickle_file('250_mlp_errors')
draw_train_and_dev_errors_over_time(train_errors, val_errors,
'MLP L2 Loss vs Iteration', 'L2 Loss')
draw_train_and_dev_errors_over_time(
train_average_precision_scores, val_average_precision_scores,
'MLP Average Precision Score vs Iteration', 'Average Precision Score')
def nesterov_linear_regression():
(train_errors, val_errors, train_average_precision_scores,
val_average_precision_scores,
w) = open_pickle_file('10_linear_regression_errors_nest')
draw_train_and_dev_errors_over_time(
train_errors, val_errors,
'Nesterov Linear Regression Momentum L2 Loss vs Iteration', 'L2 Loss')
draw_train_and_dev_errors_over_time(
train_average_precision_scores, val_average_precision_scores,
'Nesterov Linear Regression Momentum Avg Prec Score vs Iteration',
'Average Precision Score')
def sgd_linear_regression():
(train_errors, val_errors, train_average_precision_scores,
val_average_precision_scores,
w) = open_pickle_file('1_linear_regression_errors')
draw_train_and_dev_errors_over_time(
train_errors, val_errors, 'Linear Regression L2 Loss vs Iteration',
'L2 Loss')
draw_train_and_dev_errors_over_time(
train_average_precision_scores, val_average_precision_scores,
'Linear Regression Average Precision Score vs Iteration',
'Average Precision Score')
def draw_optimization_graphs_for_category(category_id):
model_results = load_model_for_category(category_id)
train_errors = model_results['train_errors']
val_errors = model_results['val_errors']
draw_train_and_dev_errors_over_time(
train_errors,
val_errors,
'Log Loss vs Iteration for Category Id {}'.format(category_id),
y_label='Log Loss',
save_fig=True,
save_location_dir=graph_save_location)
train_ap_scores = model_results['train_ap_scores'][:len(train_errors)]
val_ap_scores = model_results['val_ap_scores'][:len(train_errors)]
draw_train_and_dev_errors_over_time(
train_ap_scores,
val_ap_scores,
'Average Precision Score vs Iteration for Category Id {}'.format(
category_id),
y_label='Average Precision Score',
save_fig=True,
save_location_dir=graph_save_location)