def main():
fp.n_threads = int(data_io.get_json()["feature_extraction_threads"])
print("extracting train data set features")
X = data_io.load_train_features()
if(X is None):
extract_train_features()
else:
print("Feature already extracted!")
print("extracting valid data set features")
X = data_io.load_valid_features()
if(X is None):
extract_valid_features()
else:
print("Feature already extracted!")
def main():
fp.n_threads = int(data_io.get_json()["feature_extraction_threads"])
print("extracting train data set features")
X = data_io.load_train_features()
if (X is None):
extract_train_features()
else:
print("Feature already extracted!")
print("extracting valid data set features")
X = data_io.load_valid_features()
if (X is None):
extract_valid_features()
else:
print("Feature already extracted!")
def main():
y = data_io.read_train_target()
X = data_io.load_train_features()
if(type(X) == type(None)):
print("No feature file found!")
exit(1)
X_old = data_io.load_features("./Models/old_csv/features_train_en_python.csv")
print X.shape
X = X_old.join(X)
print X.shape
#print X
data_io.save_train_features(X,y)
X = data_io.load_valid_features()
X_old = data_io.load_features("./Models/old_csv/features_valid_en_python.csv")
print X.shape
X = X_old.join(X)
print X.shape
data_io.save_valid_features(X)
def main():
y = data_io.read_train_target()
X = data_io.load_train_features()
if (type(X) == type(None)):
print("No feature file found!")
exit(1)
X_old = data_io.load_features(
"./Models/old_csv/features_train_en_python.csv")
print X.shape
X = X_old.join(X)
print X.shape
#print X
data_io.save_train_features(X, y)
X = data_io.load_valid_features()
X_old = data_io.load_features(
"./Models/old_csv/features_valid_en_python.csv")
print X.shape
X = X_old.join(X)
print X.shape
data_io.save_valid_features(X)
def main(valid):
X_train = data_io.load_train_features()
X_valid = data_io.load_valid_features()
t_file = merge("train", X_train)
v_file = merge(valid, X_valid)
def main(valid):
X_train = data_io.load_train_features()
X_valid = data_io.load_valid_features()
t_file = merge("train", X_train)
v_file = merge(valid, X_valid)
