Matlearn can train machine learning models and comes in three major parts : preprocessing, training, and evaluation.
Project description
Welcome to my Machine Learning Library. With the help of this package, you can create machine learning models and algorithms. Included preprocessing, training, evaluation.
The module supports linear regression to predict the outcome of continuous values. Also, it has logistic regression to predict the outcome of discrete values (classification) in two ways: 1. probability prediction, exact label prediction. All models are trained by the gradient descent algorithm.
When it comes to preprocessing, matlearn provides a variety of algorithms in order to make it easy to train a model.
And after training your model, you can use several different loss functions to validate the power of your model.
This project is completely written by Mahdi Zare and still developing.
Project details
Release history Release notifications | RSS feed
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 matlearn-1.0.0.3.tar.gz.
File metadata
- Download URL: matlearn-1.0.0.3.tar.gz
- Upload date:
- Size: 8.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.6.0 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
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
82b53d62013f42d09221bf18f87c52b0be4c0888247e3c45345366b1067e8a38
|
|
| MD5 |
7388dd2f88aefa68593f8e186e9ade37
|
|
| BLAKE2b-256 |
4df3f08741f541f17199dd9671ee92af3f59d36a746a16463fdd6ca24eee69ed
|
File details
Details for the file matlearn-1.0.0.3-py3-none-any.whl.
File metadata
- Download URL: matlearn-1.0.0.3-py3-none-any.whl
- Upload date:
- Size: 8.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.6.0 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
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1cb2d318fdde9fba2ae4110f1d23be7a4ce0302feb074f4e37577d6ec9c56092
|
|
| MD5 |
1211398959463ec3cd42be7cf07ca9c8
|
|
| BLAKE2b-256 |
3a6bff3cae4c1237a9bb84eb23c19c75e0276faea7304a8693f42c9ad7fcb6ba
|