smltk (Simple Machine Learning Tool Kit) package is implemented for helping your work during
data preparation
testing your model
The goal is to implement this package for each step of machine learning process that can simplify your code.
It is part of the educational repositories to learn how to write stardard code and common uses of the TDD.
Installation
If you want to use this package into your code, you can install by python3-pip:
pip3 install smltk
python3
>>> from smltk.modeling import Modeling
>>> help(Metrics)The package is not self-consistent. So if you want to contribute, you have to download the package by github and to install the requirements
git clone https://github.com/bilardi/smltk
cd smltk/
pip3 install --upgrade -r requirements.txtBut you can also decide which package download:
if you want the basic package,
pip3 install smltkif you want to download the dependencies of the class Ntk,
pip3 install smltk[ntk]if you want to download the dependencies of the class ObjectDetection,
pip3 install smltk[object_detection]Read the documentation on readthedocs for
API
Usage
Development
Change Log
See CHANGELOG.md for details.
License
This package is released under the MIT license. See LICENSE for details.
1 maintainer
Metadata
1 maintainer
Release files for smltk 3.3.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| smltk-3.3.1.tar.gz | 28.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| smltk-3.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 51.0 kB
Release files / smltk-3.3.1.tar.gz
| Download URL | smltk-3.3.1.tar.gz |
|---|---|
| Size | 28.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / smltk-3.3.1-py3-none-any.whl
| Download URL | smltk-3.3.1-py3-none-any.whl |
|---|---|
| Size | 23.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.13.9
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