def plot_effect_of_num_of_operators(_, tbl_headers, data): plot_experiment_single_metric(data[0], data[1:], tbl_headers[1:], [], [], 'effects of number of operators on accuracy', 'number of operators', "accuracy", print_min_max=False)
def plot_effect_of_size_of_semantic_environment(_, tbl_headers, data): plot_experiment_single_metric( data[0], data[1:], tbl_headers[1:], [], [], 'effects of semantic environment size on accuracy', 'semantic environment size', "accuracy", print_min_max=False)
def plot_effect_of_semantic_environment_on_label_switches( _, tbl_headers, data): plot_experiment_single_metric( data[0], data[1:], tbl_headers[1:], [], [], 'effects of semantic environment size on label switches', 'semantic environment size', "#label switches", print_min_max=False)
def plot_compare_insertion_order(_, table_headers, data): plot_experiment_single_metric( data[0], data[1:-2], table_headers[1:-2], [data[-1]] + [data[-2]], [table_headers[-1]] + [table_headers[-2]], 'order of insertion using the balanced configuration', 'no. of examples added', "acc")
def plot_compare_pool_generation_methods_proper_al(_, table_headers, data): plot_experiment_single_metric( data[0], data[1:-2], table_headers[1:-2], [data[-2]] + [data[-1]], [table_headers[-2]] + [table_headers[-1]], 'compare pool generation methods - proper AL fashion', 'no. of examples added', "acc")
def plot_compare_generation_methods(_, table_headers, data): plot_experiment_single_metric( data[0], data[1:-2], table_headers[1:-2], [data[-2]] + [data[-1]], [table_headers[-2]] + [table_headers[-1]], 'different ways of generating pools using the balanced configuration', 'no. of examples added', "acc")