activmask

installation:

source install.sh.

training:

A config file needs to be defined to run the experiments, e.g.:

activmask train --config activmask/config/experiment.yml

monitoring:

The code right now will log all experiments in the logs/experiments.csv file. The time of saving, git hash, config, and best accuracy on the valid set is saved.

skopt

Steps to launch bayesian hyperparameters search:

1. In your .yml config file, choose the parameters you want to optimize (i.e. learning rate).
2. Replace the value with the search parameters. For example:

   # Optimizer
   optimizer:
     Adam:
       lr: "Real(10**-4, 10**-2, 'log-uniform')"
   

   search the learning rate in the range (0.01, 0.0001), on a log scale. Examples..
3. Launch your config file with activmask train-skopt --config config/path.yml

An config example can be found in config/mnist_skopt.yml