import tensorflow as tf
import numpy as np
import keras

model = keras.Sequential([keras.layers.Dense(units=1, input_shape=[1])])
model.compile(optimizer='sgd', loss='mean_squared_error')

xs = np.array([1.0,-1.0, 2.0, 3.0, 4.0, 11.0], dtype=float)
ys = np.array([1.0, 0.0, 1.5, 2.0, 2.5, 6.0], dtype=float)

model.fit(xs, ys, epochs=500)

print(model.predict([7.0]))
