This repository contains the code to build the likelihood package which contains tools for typical tasks in maintain machine learning models in production and the training of custom models, for more information review our documentation.
Prerequisites
Before you begin, ensure you have met the following requirements:
- You have a Windows/Linux/Mac machine running Python 3.10+.
- You have installed the latest versions of
pipandvirtualenvorconda(Anaconda).
Installation
This package can be easily installed with pip:
pip install likelihood
Examples
You can check the examples folder.
More examples will be added soon.
1 maintainer
Metadata
1 maintainer
Release files for likelihood 2.1.20
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| likelihood-2.1.20.tar.gz | 123.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| likelihood-2.1.20-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 262.7 kB
Release files / likelihood-2.1.20.tar.gz
| Download URL | likelihood-2.1.20.tar.gz |
|---|---|
| Size | 123.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.13.14
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Release files / likelihood-2.1.20-py3-none-any.whl
| Download URL | likelihood-2.1.20-py3-none-any.whl |
|---|---|
| Size | 138.8 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/7.0.0 CPython/3.13.14
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