A Framework for ML Research Using PyTorch
Project description
Fandak: فندک
Coming soon...
Will help you train your models for research.
Installation
:exclamation: Requires Python 3.7 :snake:.
pip install fandak
Release Notes
Examples
See examples directory.
Visualizing the effects of hyper-parameters
Sample usage:
python -m fandak.hyper /path/to/root metric1 [metric2] [--exp-name baseline-*] [--params-list path/to/params/list.txt]
If no exp-name is provided, then all are going to be considered. exp-name can be something usable from glob.
We also have to specify the params list. What to have in the figure? Otherwise, we look at the experiments and find the params that are not the same among them. If a param is missing from a config file, then it is replaces with "?".
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