Training and Testing for a large number of ML models in one go.
Project description
EasyMLSelector
* A class for training and testing many models found in sklearn.
* Training and Testing for a large number of ML models in one go.
Don't know what kind of model is going to best suit your data?
from EasyMLSelector import EasyMLSelector
It's as easy as taking your X and y data and using these 2 commands
M = EasyMLSelector(type_filter="regressor", Xy_tuple=(X,y))
M.model_loop()
Then toy around with the best performing model:
M.test_best()
M.best_model
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
EasyMLSelector-0.0.4.tar.gz
(3.3 kB
view hashes)
Built Distribution
Close
Hashes for EasyMLSelector-0.0.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e8ba472ebec78baddaca61f7ca5d05c8bf5271ca80a4a117c43d7c93463717dd |
|
MD5 | c41c97f73ab8285daeba51bceb1c2f96 |
|
BLAKE2b-256 | 0de79005675f3e930cf96124c14645a6a240cabf85fd2218da8453dd706df60f |