sequential=sequential[i],
)
""" Format Training and Testing Set """
open_train_X, open_test_X, open_train_y, open_test_y = HF.get_normalized_training_test_set(
open_, rnn.past_n_, test_size)
high_train_X, high_test_X, high_train_y, high_test_y = HF.get_normalized_training_test_set(
high_, rnn.past_n_, test_size)
low_train_X, low_test_X, low_train_y, low_test_y = HF.get_normalized_training_test_set(
low_, rnn.past_n_, test_size)
close_train_X, close_test_X, close_train_y, close_test_y = HF.get_normalized_training_test_set(
close_, rnn.past_n_, test_size)
""" Train """
rnn.__train__(open_train_X, open_train_y)
rnn.__train__(high_train_X, high_train_y)
rnn.__train__(low_train_X, low_train_y)
rnn.__train__(close_train_X, close_train_y)
""" Plot The total Loss """
rnn.__plot_total_loss__()
""" Plot Predicted & Actual Data """
rnn.__test__(open_test_X)
rnn.__plot_prediction__(open_test_X, open_test_y, open_, "OPEN")
rnn.__test__(high_test_X)
rnn.__plot_prediction__(high_test_X, high_test_y, high_, "HIGH")
rnn.__test__(low_test_X)
rnn.__plot_prediction__(low_test_X, low_test_y, low_, "LOW")
rnn.__test__(close_test_X)
rnn.__plot_prediction__(close_test_X, close_test_y, close_, "CLOSE")
