Linear model with: • Callbacks • Metrics • Preprocessing functions • Simple integration
Quick Start
import fsh
X = [[1, 2], [3, 4]]
y = [[5], [6]]
#array converting is integrated! but you can do it yourself!
X = fsh.fsh.preprocessing.to_array(X)
y = fsh.fsh.preprocessing.to_array(y)
callback = fsh.fsh.callbacks.History()
model = fsh.fsh.Linear(n_features=2, lr=0.01)
# Training
model.train(X, y, epochs=100, callbacks=[callback], loss_fn=fsh.fsh.metrics.mse)
model.predict(X)
1 maintainer
Metadata
1 maintainer
Release files for gradforge 2.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| gradforge-2.1.0.tar.gz | 10.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gradforge-2.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.9 kB
Release files / gradforge-2.1.0.tar.gz
| Download URL | gradforge-2.1.0.tar.gz |
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| Size | 10.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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uv/0.12.13 {"installer":{"name":"uv","version":"0.12.13","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Arch Linux","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
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Release files / gradforge-2.1.0-py3-none-any.whl
| Download URL | gradforge-2.1.0-py3-none-any.whl |
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| Size | 16.8 kB |
| Tags | Python 3 |
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Security for gradforge 2.1.0
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