This project wants to show the work I've done during my Master's internship in Amsterdam. The focus of this work was finding outliers in the gas consumption of some buildings.
The results are described in this page.
- Clone this pylearn2, which uses the exact pylearn2 version we used.
- Install the cloned pylearn2
To train your model you can use
python [PYLEARN_DIR]/pylearn2/scripts/train.py NN-cross_v2.yaml
To predict
python [PYLEARN_DIR]/pylearn2/scripts/mlp/predict_csv.py bests/bestv2-0.pkl test.csv predict.csv -P 'regression'