Sample README file for ml_model package. This package provides a simple class to perform hyperparameter tuning on a generic machine learning model. The user can input the specifications, including the hyperparameters to use in a search grid, as well as the specific machine learning model desired.
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Release files for ml-model 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ml_model-0.0.1.tar.gz | 2.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ml_model-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.2 kB
Release files / ml_model-0.0.1.tar.gz
| Download URL | ml_model-0.0.1.tar.gz |
|---|---|
| Size | 2.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.5
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Release files / ml_model-0.0.1-py3-none-any.whl
| Download URL | ml_model-0.0.1-py3-none-any.whl |
|---|---|
| Size | 2.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.5
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