from sklearn.model_selection import train_test_split | |
from data_preparing import features, targets | |
from data_preparing import le | |
# splitting data into training and testing datasets | |
X_train, X_val, y_train, y_val = train_test_split(features, targets, test_size=0.2, random_state=2007) | |
X_train = X_train.toarray() | |
X_val = X_val.toarray() | |
input_size = X_train.shape[1] | |
num_classes = len(le.classes_) | |