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
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file likelihood-2.1.18.tar.gz.
File metadata
- Download URL: likelihood-2.1.18.tar.gz
- Upload date:
- Size: 119.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
01700f17dafa49c5126dbe36866841bde782dfa62798a1ec73f05e85e95cba0d
|
|
| MD5 |
f7517f1a2741c486a3ea8cca5d2671ae
|
|
| BLAKE2b-256 |
a6dc90f908ad64d002324796b28afcea03abef04aea88fa05b5b67f15da524a4
|
File details
Details for the file likelihood-2.1.18-py3-none-any.whl.
File metadata
- Download URL: likelihood-2.1.18-py3-none-any.whl
- Upload date:
- Size: 134.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
528ba2226da82d0d4cfc9b8af8d59c9168fcae0ba95e465c6ffab668bd7fc7e0
|
|
| MD5 |
9ab1c680f6943cc151c0bbbe473ffed3
|
|
| BLAKE2b-256 |
85c1c068dad11cf79dd03fcb99ce92b3bfb53232e137761ced9cbe6e2d33c729
|
