MLglass: A Transparency with models
Project description
Machine Learning Models with glass (Transparency)
Links: Github | PyPi - project
Installation: pip install spkit
Table of contents
-Logistic Regression -Naive Bayes -Decision Trees
Installation
Requirement: numpy, matplotlib
with pip
pip install mlglass
Build from the source
Download the repository or clone it with git, after cd in directory build it from source with
python setup.py install
Machine Learning models - with visualizations
- Logistic Regression
- Naive Bayes
- Decision Trees
- DeepNet (to be updated)
Machine Learning
Logistic Regression - View in notebook
Naive Bayes - View in notebook
Decision Trees - View in notebook
[source code] | [jupyter-notebook]
Plottng tree while training
Contacts:
PhD from Queen Mary University of London, Postdoctoral at University of East London
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
mlglass-0.0.1.tar.gz
(18.0 kB
view details)
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
mlglass-0.0.1-py3-none-any.whl
(18.5 kB
view details)
File details
Details for the file mlglass-0.0.1.tar.gz.
File metadata
- Download URL: mlglass-0.0.1.tar.gz
- Upload date:
- Size: 18.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
94575b6a7ca922fea13482ac3682cb34d96b9f2b26f96a24d3ac0d1d72aa418e
|
|
| MD5 |
4f68f3064737d0bc64369d0ea2cad938
|
|
| BLAKE2b-256 |
a2c101c62bee18918cb70ee22c35e742f5fcda92edb032a9f5ddee4bbb3450a6
|
File details
Details for the file mlglass-0.0.1-py3-none-any.whl.
File metadata
- Download URL: mlglass-0.0.1-py3-none-any.whl
- Upload date:
- Size: 18.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
129eb2d8ea17f4f53f1c6ee28e99e7c459b7af142e310c19470895d672ffddad
|
|
| MD5 |
c4f808d125d4b2f0c361106a12b3ccdc
|
|
| BLAKE2b-256 |
4964873d49a669056bb3e757663212811ce99e44aa90c9826f8812716906b285
|
