ml-lab / made

MADE: Masked Autoencoder for Distribution Estimation

MADE

MADE: Masked Autoencoder for Distribution Estimation

Paper on arxiv and at ICML2015.

Dependencies:

• python = 2.7
• numpy >= 1.9.1
• scipy >= 0.14
• theano >= 0.9

Usage

See python trainMADE.py --help

Experiments are saved in : ./experiments/{experiment_name}/.

Datasets need to be in : ./datasets/{dataset_name}.npz.

Train

Commands to generate the best result from the paper on multiple dataset.

DNA

python -u trainMADE.py dna 1e-5 0.95 -1 -1 Full 300 100 30 False 0 adadelta 0 [500] 1234 False Output False hinge Orthogonal 0

MNIST (Warning: Orthogonal initialization takes a long time and a lot of RAM (4gig) with a model that big.)

python -u trainMADE.py --name mnist_from_paper binarized_mnist 0.01 0 -1 32 Full 300 100 30 False 0 adagrad 0 [8000,8000] 1234 False Output False hinge Orthogonal 0

Sample

Generating an 10 by 10 MNIST digits image sampled from a trained model(assuming the one above).

python -u sampleMADE.py experiments/mnist_from_paper/ 10 10 True True 1

Datasets

In repo:

• adult
• connect4
• dna
• mushrooms
• nips
• ocr_letters
• web

External download due to size:

• rcv1
• binarized_mnist

Troubleshooting

I got a weird cannot convert int to float error. TypeError: Cannot convert Type TensorType(float32, matrix) (of Variable Subtensor{int64:int64:}.0) into Type TensorType(float64, matrix)

Have you configured theano? Here is my .theanorc config (use cpu if you do not have a CUDA capable gpu):

[global]
device = gpu
floatX = float32
exception_verbosity=high

[nvcc]
fastmath = True

I got an IO error about params.npz. IOError: [Errno 2] No such file or directory: './experiments/ef0f220f13f115d34798a5f7e16e8c539e4eaee42564d07ed8f893b7fadaa8a0/params.npz'

You are probably trying to resume a failed experiment. Try the --force flag to override the previous one or simply delete the experiments folder.