import numpy as np

import json

import os

import pickle

import random

import sys

import yaml

import numpy as np

import tensorflow as tf

from callbacks import make_callbacks

from datasets import make_seq_2_seq_dataset, Seq2SeqDataset, Seq2SeqDataset_copy

from metrics import get_metrics

from models import create_model

from outputs import plot_metrics, plot_predictions, save_model

from params import get_params

from sklearn.svm import SVR

from sklearn.model_selection import GridSearchCV

from tensorflow.keras import Input, Model

from tensorflow.keras.layers import Concatenate, Dense, LSTM, RepeatVector, Reshape, TimeDistributed

def main():

print("the score of linear is : %f" % history_score)

if __name__=="__main__":

main()