def main():
args = parse_args()
feature_matrix = joblib.load(
'../data/02_featuretools/feature_matrix.joblib')
app_train = feature_matrix.dropna(subset=['TARGET'])
app_test = feature_matrix[feature_matrix['TARGET'].isnull()].drop('TARGET',
axis=1)
run_lgb(args, app_train, app_test, '12_featuretools')
def main():
args = parse_args()
app_train = joblib.load('../data/01_labelencoding/application_train.joblib')
app_test = joblib.load('../data/01_labelencoding/application_test.joblib')
features = read_all('../data/21_dimlstm')
for feature in features.values():
app_train = app_train.merge(feature)
app_test = app_test.merge(feature)
run_lgb(args, app_train, app_test, '31_dimlstm')
def main():
args = parse_args()
feature_matrix = joblib.load(
'../data/02_featuretools/feature_matrix.joblib')
app_train = feature_matrix.dropna(subset=['TARGET'])
app_test = feature_matrix[feature_matrix['TARGET'].isnull()].drop('TARGET',
axis=1)
features = read_all('../data/21_dimlstm')
for feature in features.values():
app_train = app_train.merge(feature)
app_test = app_test.merge(feature)
run_lgb(args, app_train, app_test, '32_ft_dimlstm')
def main():
args = parse_args()
app_train = joblib.load('../data/01_labelencoding/application_train.joblib')
app_test = joblib.load('../data/01_labelencoding/application_test.joblib')
run_lgb(args, app_train, app_test, '11_baseline')