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Observed since 20 Oct, 20:21 UTC
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Automatic ML model builder in Python
Auto ML Builder Library
pip install aek-auto-mlbuilder
For future updates:
pip install --upgrade aek-auto-mlbuilder
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)
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.16.1 | 18 Sept 2025 | 3 |
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Shared repository data · GitHub
Observed since 20 Oct, 20:21 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:e2e9c2481bf90d770780d08b1f95ce1cf0dc16a3e39e7217d9288ecfe1d0121d