tomonari-masada

import tensorflow as tf

x = tf.placeholder(tf.float32, [None, 1])
y_ = tf.placeholder(tf.float32, [None, 1])

b = tf.Variable(tf.zeros([1]))
w = tf.Variable(tf.zeros([1, 1]))

y = w * x + b

fonnesbeck

""" 
Implementation of kernel regression: 
""" 
 
from pylearn.old_dataset.learner import OfflineLearningAlgorithm 
from theano import tensor as T 
from theano.tensor.nnet import prepend_1_to_each_row 
from theano.scalar import as_scalar 
from common.autoname import AutoName 
import theano