Turn trainer class from Climate-Learing
into all-purpose ML model class
#5
Labels
enhancement
New feature or request
Climate-Learing
into all-purpose ML model class
#5
I think that trainer class can be made more convenient and useful for more people. The most convenient feature that could be helpful in many applications is how hyperparameters are treated and automatic folders spawned with
config.json
andruns.json
files. The issue is thatClimate-Learning
is too bulky and probably hard to understand for most people. To get more adopters simpler class would be preferred. This is not a easy thing to do because it depends heavily on other functions inLearn2_new.py
ofClimate-Learning/PLASIM
. So here is a set of desired features and steps:Climate-Learning
: write a general class that has nothing to do with operations such as balancing, masking etcThe text was updated successfully, but these errors were encountered: