Code fragments of initTrain.py

• import pickle
• import numpy as np
• numberPoints = 100
• splitIndex = 50
• #splitIndex = randrange(1, numberPoints)
• print(str(splitIndex))
• rng = np.random.RandomState()
• x = 10 * rng.rand(numberPoints)
• y = 0.4 * x - 5 + rng.randn(numberPoints)
• with open('input1X.txt', 'wb') as fp:
• pickle.dump(x[:splitIndex], fp)
• with open('input1Y.txt', 'wb') as fp:
• pickle.dump(y[:splitIndex], fp)
• with open('input2X.txt', 'wb') as fp:
• pickle.dump(x[splitIndex:], fp)
• with open('input2Y.txt', 'wb') as fp:
• pickle.dump(y[splitIndex:], fp)
• from sklearn.linear_model import LinearRegression, SGDRegressor
• filename = 'model.sav'
• model = SGDRegressor()
• pickle.dump(model, open(filename, 'wb'))

Graph