oneNeuron_pypi
oneNeuron_pypi
Reference
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How to use
from oneNeuron.pereceptron import Perceptron #src file
## get X,Y and then use as below
model = Perceptron(eta=eta,epochs=epochs)
model.fit(x,y)
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Metadata
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Release files for oneNeuron-pypi-jhasid 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| oneNeuron_pypi-jhasid-0.0.2.tar.gz | 3.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| oneNeuron_pypi_jhasid-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.7 kB
Release files / oneNeuron_pypi-jhasid-0.0.2.tar.gz
| Download URL | oneNeuron_pypi-jhasid-0.0.2.tar.gz |
|---|---|
| Size | 3.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
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Release files / oneNeuron_pypi_jhasid-0.0.2-py3-none-any.whl
| Download URL | oneNeuron_pypi_jhasid-0.0.2-py3-none-any.whl |
|---|---|
| Size | 3.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
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