pylearn2安装及测试

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Theano 2013-07-25 11:55
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http://blog.csdn.net/lucktroy/article/details/9466369
Pylearn2 是建立在Theano之上的一个机器学习库，可以参考：http://deeplearning.net/software/pylearn2/

早前我已经用《Install Theano in Linux without root authority (sodu)》，所以现在也只需要仿照着安装即可。

1. Download:

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$ git clone git://github.com/lisa-lab/pylearn2.git

$ git clone git://github.com/lisa-lab/pylearn2.git

2. 配置环境变量，我一般用.bash_profile, 也可以放在.bashrc里

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export PYLEARN2_DATA_PATH=/path/to/data

export PYLEARN2_DATA_PATH=/path/to/data

3. 安装，进入pylearn2

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$ python setup.py build

$ python setup.py build

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$ python setup.py install --prefix=$PYTHON_HOME

$ python setup.py install --prefix=$PYTHON_HOME

4. 测试，可以看http://deeplearning.net/software/pylearn2/tutorial/index.html#tutorial，首先下载数据集cifar-10: http://www.cs.toronto.edu/~kriz/cifar.html
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$ wget http://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz

$ wget http://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz[/code] 
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$ tar -zxvf cifar-10*  

$ tar -zxvf cifar-10*
4.1. 生成数据子集，进入$PYLEARN2_HOME/pylearn2/scripts/tutorials/grbm_smd/

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$ python make_dataset.py  

$ python make_dataset.py
4.2 训练模型

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$ python ../../train.py cifar_grbm_smd.yaml  

$ python ../../train.py cifar_grbm_smd.yaml
4.3 视察模型

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$ python ../../show_weights.py cifar_grbm_smd.pkl  

$ python ../../show_weights.py cifar_grbm_smd.pkl