nearest_neighbor

来源：https://github.com/aymericdamien/TensorFlow-Examples

'''
A nearest neighbor learning algorithm example using TensorFlow library.
This example is using the MNIST database of handwritten digits
(http://yann.lecun.com/exdb/mnist/)Author: Aymeric Damien
Project: https://github.com/aymericdamien/TensorFlow-Examples/
'''from __future__ import print_functionimport numpy as np
import tensorflow as tf# Import MNIST data
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("/tmp/data/", one_hot=True)# In this example, we limit mnist data
Xtr, Ytr = mnist.train.next_batch(5000) #5000 for training (nn candidates)
Xte, Yte = mnist.test.next_batch(200) #200 for testing# tf Graph Input
xtr = tf.placeholder("float", [None, 784])
xte = tf.placeholder("float", [784])# Nearest Neighbor calculation using L1 Distance
# Calculate L1 Distance
distance = tf.reduce_sum(tf.abs(tf.add(xtr, tf.negative(xte))), reduction_indices=1)
# Prediction: Get min distance index (Nearest neighbor)
pred = tf.arg_min(distance, 0)accuracy = 0.# Initialize the variables (i.e. assign their default value)
init = tf.global_variables_initializer()# Start training
with tf.Session() as sess:# Run the initializersess.run(init)# loop over test datafor i in range(len(Xte)):# Get nearest neighbornn_index = sess.run(pred, feed_dict={xtr: Xtr, xte: Xte[i, :]})# Get nearest neighbor class label and compare it to its true labelprint("Test", i, "Prediction:", np.argmax(Ytr[nn_index]), \"True Class:", np.argmax(Yte[i]))# Calculate accuracyif np.argmax(Ytr[nn_index]) == np.argmax(Yte[i]):accuracy += 1./len(Xte)print("Done!")print("Accuracy:", accuracy)

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