ai tools
Project description
🔥aizoo🔥
Install
pip install aizoo -U
Docs
Usages
OOF models
from aizoo.tab.models import TabNetClassifier
from sklearn.datasets import make_regression, make_classification
from sklearn.metrics import r2_score, roc_auc_score
X, y = make_classification(n_samples=10000)
TabNetClassifier().run(X, y, feval=roc_auc_score)
Hyperparameter optimization: search_space
from aizoo.tuner.optimizers import LGBOptimizer, F1Optimizer
from sklearn.datasets import make_regression, make_classification
X, y = make_classification(n_samples=1000)
opt = LGBOptimizer('search_space.yaml', X, y)
best_params = opt.optimize(100)
opt.plot()
TODO
======= History
0.0.0 (2021-09-04)
- First release on PyPI.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
aizoo-2022.7.7.15.43.33.tar.gz
(129.1 kB
view hashes)
Built Distribution
Close
Hashes for aizoo-2022.7.7.15.43.33-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 59195e5a4ff3cb989eb4b51808a379b10c761abe7ae44f4eba8fa140272b92b5 |
|
MD5 | a16ff70f4afdadd46750e0dcf091d1e0 |
|
BLAKE2b-256 | 3eab5b9750718def3f437a9fdeea3f6d873a37c52270ed9fbcd76e6e6cba43c7 |