“““?Random?Forest.

Implement?Random?Forest?algorithm?with?TensorFlow?and?apply?it?to?classify?
handwritten?digit?images.?This?example?is?using?the?MNIST?database?of?
handwritten?digits?as?training?samples?（http://yann.lecun.com/exdb/mnist/）.

Author:?Aymeric?Damien
Project:?https://github.com/aymericdamien/TensorFlow-Examples/
“““

from?__future__?import?print_function

import?tensorflow?as?tf
from?tensorflow.contrib.tensor_forest.python?import?tensor_forest
from?tensorflow.python.ops?import?resources

#?Ignore?all?GPUs?tf?random?forest?does?not?benefit?from?it.
import?os
os.environ[“CUDA_VISIBLE_DEVICES“]?=?““

#?Import?MNIST?data
from?tensorflow.examples.tutorials.mnist?import?input_data
mnist?=?input_data.read_data_sets（“/tmp/data/“?one_hot=False）

#?Parameters
num_steps?=?500?#?Total?steps?to?train
batch_size?=?1024?#?The?number?of?samples?per?batch
num_classes?=?10?#?The?10?digits
num_features?=?784?#?Each?image?is?28x28?pixels
num_trees?=?10
max_nodes?=?1000

#?Input?and?Target?data
X?=?tf.placeholder（tf.float32?shape=[None?num_features]）
#?For?random?forest?labels?must?be?integers?（the?class?id）
Y?=?tf.placeholder（tf.int32?shape=[None]）

#?Random?Forest?Parameters
hparams?=?tensor_forest.ForestHParams（num_classes=num_classes
??????????????????????????????????????num_features=num_features
??????????????????????????????????????num_trees=num