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")