def set_label_ensemble_args(name, description, args, labels, multi_label_data,
number_of_ensembles, fields, model_fields,
objective_field):
"""Set of args needed to build an ensemble per label
"""
if model_fields is None:
model_fields = []
else:
model_fields = relative_input_fields(fields, model_fields)
if objective_field is None:
objective_field = fields.objective_field
objective_id = fields.field_id(objective_field)
objective_field = fields.fields[objective_id]['name']
ensemble_args_list = []
for index in range(number_of_ensembles - 1, -1, -1):
label = labels[index]
all_labels = get_all_labels(multi_label_data)
(new_name, label_field,
single_label_fields) = label_model_args(name, label, all_labels,
model_fields, objective_field)
ensemble_args = set_ensemble_args(new_name, description, args,
single_label_fields, label_field,
fields)
if multi_label_data is not None:
ensemble_args.update(
user_metadata={'multi_label_data': multi_label_data})
ensemble_args_list.append(ensemble_args)
return ensemble_args_list
def set_label_ensemble_args(name, description, args, labels, multi_label_data,
number_of_ensembles, fields, model_fields,
objective_field):
"""Set of args needed to build an ensemble per label
"""
if model_fields is None:
model_fields = []
else:
model_fields = relative_input_fields(fields, model_fields)
if objective_field is None:
objective_field = fields.objective_field
objective_id = fields.field_id(objective_field)
objective_field = fields.fields[objective_id]['name']
ensemble_args_list = []
for index in range(number_of_ensembles - 1, -1, -1):
label = labels[index]
all_labels = get_all_labels(multi_label_data)
(new_name, label_field, single_label_fields) = label_model_args(
name, label, all_labels, model_fields, objective_field)
ensemble_args = set_ensemble_args(new_name, description, args,
single_label_fields,
label_field, fields)
if multi_label_data is not None:
ensemble_args.update(
user_metadata={'multi_label_data': multi_label_data})
ensemble_args_list.append(ensemble_args)
return ensemble_args_list
def set_label_evaluation_args(name, description, args, labels, all_labels,
number_of_evaluations, fields, fields_map,
objective_field):
"""Set of args needed to build an evaluation per label
"""
if objective_field is None:
objective_id = fields.field_id(fields.objective_field)
objective_field = fields.fields[objective_id]['name']
evaluation_args_list = []
for index in range(number_of_evaluations - 1, -1, -1):
label = labels[index]
new_name = label_model_args(
name, label, all_labels, [], objective_field)[0]
evaluation_args = set_evaluation_args(new_name, description, args,
fields, fields_map)
evaluation_args_list.append(evaluation_args)
return evaluation_args_list
def set_label_evaluation_args(name, description, args, labels, all_labels,
number_of_evaluations, fields, dataset_fields,
fields_map, objective_field):
"""Set of args needed to build an evaluation per label
"""
if objective_field is None:
objective_id = fields.field_id(fields.objective_field)
objective_field = fields.fields[objective_id]['name']
evaluation_args_list = []
for index in range(number_of_evaluations - 1, -1, -1):
label = labels[index]
new_name = label_model_args(name, label, all_labels, [],
objective_field)[0]
evaluation_args = set_evaluation_args(new_name, description, args,
fields, dataset_fields,
fields_map)
evaluation_args_list.append(evaluation_args)
return evaluation_args_list
def set_label_model_args(name, description, args, labels, all_labels, fields,
model_fields, objective_field):
"""Set of args needed to build a model per label
"""
if model_fields is None:
model_fields = []
else:
model_fields = relative_input_fields(fields, model_fields)
if objective_field is None:
objective_id = fields.field_id(fields.objective_field)
objective_field = fields.fields[objective_id]['name']
model_args_list = []
for index in range(args.number_of_models - 1, -1, -1):
label = labels[index]
(new_name, label_field, single_label_fields) = label_model_args(
name, label, all_labels, model_fields, objective_field)
model_args = set_model_args(new_name, description, args,
label_field, fields,
single_label_fields)
model_args_list.append(model_args)
return model_args_list
if not args.model_fields_:
args.model_fields_ = relative_input_fields(fields, args.model_fields_)
if args.objective_field is None:
args.objective_field = fields.objective_field
try:
objective_id = fields.field_id(args.objective_field)
except ValueError, exc:
sys.exit(exc)
objective_field = fields.fields[objective_id]['name']
ensemble_args_list = []
for index in range(number_of_ensembles - 1, -1, -1):
label = labels[index]
all_labels = get_all_labels(multi_label_data)
(new_name, label_field, single_label_fields) = label_model_args(
args.name, label, all_labels, args.model_fields_,
objective_field)
ensemble_args = set_ensemble_args(args, name=new_name,
objective_id=label_field,
model_fields=single_label_fields,
fields=fields)
if multi_label_data is not None:
ensemble_args.update(
user_metadata={'multi_label_data': multi_label_data})
ensemble_args_list.append(ensemble_args)
return ensemble_args_list
def set_ensemble_args(args, name=None,
objective_id=None, model_fields=None, fields=None):
number_of_evaluations, fields, dataset_fields,
objective_field):
"""Set of args needed to build an evaluation per label
"""
if objective_field is None:
try:
objective_id = fields.field_id(fields.objective_field)
except ValueError, exc:
sys.exit(exc)
objective_field = fields.fields[objective_id]['name']
evaluation_args_list = []
for index in range(number_of_evaluations - 1, -1, -1):
label = labels[index]
new_name = label_model_args(
args.name, label, all_labels, [], objective_field)[0]
evaluation_args = set_evaluation_args(args,
fields=fields,
dataset_fields=dataset_fields,
name=new_name)
evaluation_args_list.append(evaluation_args)
return evaluation_args_list
def create_evaluations(model_or_ensemble_ids, datasets, evaluation_args,
args, api=None,
path=None, session_file=None, log=None,
existing_evaluations=0):
"""Create evaluations for a list of models
``model_or_ensemble_ids``: list of model or ensemble ids to create
