Installation
pip install aek-auto-mlbuilder
For future updates:
pip install --upgrade aek-auto-mlbuilder
Usage
Create LinearRegression model
For your linear regression problems, you can use LinearRegressor class via:(for now we use syntetic data):
from aek_auto_mlbuilder import LinearRegressor
from sklearn.datasets import make_regression
X, y = make_regression(n_samples=100, n_features=5, noise=0.1, random_state=42)
lr = LinearRegressor()
lr.train(X, y)
print("Best Score:", lr.best_score)
1 maintainer
Metadata
1 maintainer
Release files for aek-auto-mlbuilder 0.16.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| aek_auto_mlbuilder-0.16.1.tar.gz | 6.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aek_auto_mlbuilder-0.16.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.6 kB
Release files / aek_auto_mlbuilder-0.16.1.tar.gz
| Download URL | aek_auto_mlbuilder-0.16.1.tar.gz |
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| Size | 6.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.12.9
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Release files / aek_auto_mlbuilder-0.16.1-py3-none-any.whl
| Download URL | aek_auto_mlbuilder-0.16.1-py3-none-any.whl |
|---|---|
| Size | 13.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.12.9
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Security for aek-auto-mlbuilder 0.16.1
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