CS229 Final Project
- Jon Deaton
- Robert Neff
- Luke Sturm
Extract features and cluster features
python -m cell_clustering.cluster \
--features-dir /path/to/features/directory \
--model-file /path/to/model/file \
--assignments-file /path/to/assignments/file
To train deep model
python -m deep_model.train
evaluate the deep model
python -m deep_model.evaluate \
--save-path /path/to/model_outputs \
--model model_checkpoint-0.meta \
--output outputs
To create training, test, and validation sets (this has already been done and should not need to be done again)
python -m partitions.create --input ~/Datasets/HumanProteinAtlas --num-test 1500 --num-validation 1500