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Tag Archives regresion

Regresión lineal – Theano

Aquí os dejo con un ejemplo (regresion_lineal.py) muy sencillo y claro para realizar una regresión lineal.

import numpy as np
import theano
from theano import tensor as T
import matplotlib.pyplot as plt

trX = np.linspace(-1, 1, 101)
trY = 2 * trX + np.random.randn(*trX.shape) * 0.33

X = T.scalar()
Y = T.scalar()

def model(X, w):
return X * w

w = theano.shared(np.asarray(0., dtype=theano.config.floatX))
y = model(X, w)

cost = T.mean(T.sqr(y – Y))
gradient = T.grad(cost=cost, wrt=w)
updates = [[w, w – gradient * 0.01]]

train = theano.function(inputs=[X, Y], outputs=cost, updates=updates,
allow_input_downcast=True)

for i in range(100):
for x, y in zip(trX,