Detecting anomalies with Neural newtorks
R
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
R
bests
datasets
notebooks
.gitignore
NN-cross.yaml
NN-cross_v2.yaml
NN_static_MLSE.yaml
NN_static_MSE.yaml
README.md
report.pdf

README.md

energyUva

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.

Instructions

  • Clone this pylearn2, which uses the exact pylearn2 version we used.
  • Install the cloned pylearn2

Commands

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'