import tensorflow as tf

# split into train and test
train_x, test_x, train_y, test_y = train_test_split(data_x, data_y, test_size=0.3, random_state=42)


# define other non user input params
# initialize l2_loss as zero
l2_loss = tf.constant(0.0)
# define sequence length
sequence_length = data_x.shape[1]
# define num_features
num_feature = data_x.shape[2]
# store the weights
