import tensorflow as tf
from tensorflow import keras

import os
import numpy as np

class Linear_regressor(keras.layers.Layer):

  def __init__(self):
    super(Linear_regressor, self).__init__()

    self.w = self.add_variable('weights', [13, 1])
    self.b = self.add_variable('bias', [1])

  def call(self, x):
    linear = tf.matmul(x, self.w) + self.b
    return linear