def train_and_test(
train_set,
test_set,
ontology,
model,
recreate_ontology,
verbose,
):
""" An aggregate command for both training and testing. """
api.train(
trainset_dir=os.path.abspath(train_set),
ontology_path=os.path.abspath(ontology),
model_path=os.path.abspath(model),
recreate_ontology=recreate_ontology,
verbose=verbose,
)
click.echo(u"Training completed successfully!")
precision, recall, f1_score, accuracy = api.test(
testset_path=os.path.abspath(test_set),
ontology_path=os.path.abspath(ontology),
model_path=os.path.abspath(model),
recreate_ontology=recreate_ontology,
verbose=verbose,
)
click.echo()
click.echo(u"Precision: {0:.2f}%".format(precision * 100))
click.echo(u"Recall: {0:.2f}%".format(recall * 100))
click.echo(u"F1-score: {0:.2f}%".format(f1_score * 100))
click.echo(u"Accuracy: {0:.2f}%".format(accuracy * 100))
def train_and_test(
train_set,
test_set,
ontology,
model,
recreate_ontology,
verbose,
):
""" An aggregate command for both training and testing. """
api.train(
trainset_dir=os.path.abspath(train_set),
ontology_path=os.path.abspath(ontology),
model_path=os.path.abspath(model),
recreate_ontology=recreate_ontology,
verbose=verbose,
)
click.echo(u"Training completed successfully!")
precision, recall, f1_score, accuracy = api.test(
testset_path=os.path.abspath(test_set),
ontology_path=os.path.abspath(ontology),
model_path=os.path.abspath(model),
recreate_ontology=recreate_ontology,
verbose=verbose,
)
click.echo()
click.echo(u"Precision: {0:.2f}%".format(precision * 100))
click.echo(u"Recall: {0:.2f}%".format(recall * 100))
click.echo(u"F1-score: {0:.2f}%".format(f1_score * 100))
click.echo(u"Accuracy: {0:.2f}%".format(accuracy * 100))
def test(testset_dir, ontology, model, recreate_ontology, verbose):
""" Test a model on a given dataset """
precision, recall, f1_score, accuracy = api.test(
testset_path=os.path.abspath(testset_dir),
ontology_path=os.path.abspath(ontology),
model_path=os.path.abspath(model),
recreate_ontology=recreate_ontology,
verbose=verbose,
)
click.echo()
click.echo(u"Precision: {0:.2f}%".format(precision * 100))
click.echo(u"Recall: {0:.2f}%".format(recall * 100))
click.echo(u"F1-score: {0:.2f}%".format(f1_score * 100))
click.echo(u"Accuracy: {0:.2f}%".format(accuracy * 100))
def test(testset_dir, ontology, model, recreate_ontology, verbose):
""" Test a model on a given dataset """
precision, recall, f1_score, accuracy = api.test(
testset_path=os.path.abspath(testset_dir),
ontology_path=os.path.abspath(ontology),
model_path=os.path.abspath(model),
recreate_ontology=recreate_ontology,
verbose=verbose,
)
click.echo()
click.echo(u"Precision: {0:.2f}%".format(precision * 100))
click.echo(u"Recall: {0:.2f}%".format(recall * 100))
click.echo(u"F1-score: {0:.2f}%".format(f1_score * 100))
click.echo(u"Accuracy: {0:.2f}%".format(accuracy * 100))
