Metadata-Version: 2.1
Name: neatutils
Version: 0.0.1
Summary: NeatUtils - a simple reference utility for awesome lists and machine learning estimators and algorithms
Home-page: https://github.com/Jcharis/neatutils
License: MIT
Keywords: neatutils,awesome list,machine learning estimators,ml algorithms list,sklearn estimators,neat,jcharis,list pycaret estimators,distutils
Author: Jesse E.Agbe(JCharis)
Author-email: jcharistech@gmail.com
Requires-Python: >=3.3,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: click (>=7.1.2,<8.0.0)
Requires-Dist: click-help-colors (>=0.8,<0.9)
Project-URL: Repository, https://github.com/Jcharis/neatutils
Description-Content-Type: text/markdown

### neatutils
A Simple Reference Utility for Getting the Abbreviation of ML Estimators,Algorithms and Awesome List

### Installation
```bash
pip install neatutils
```

### Benefits
+ Simplify finding ML estimator name for pycaret

### Why Neatutils?
+ During usage of the powerful ML library Pycaret, I noticed that it was difficult to know which abbreviation/short name can be used each ML Estimator, hence we decided to build something simple to make it easier to know the most common name/abbreviation for most Machine Learning/Data Science Algorithms and Estimators used.

### Usage
#### Get Abbreviations
+ Neatutils offers the ability to analyse sequences for more insight

```python
>>> import neatutils
>>> neatutils.get_abbrev('Logistic Regression')
>>> lr
```

#### Get Full Name of Estimators
```python
>>> import neatutils
>>> neatutils.get_fullname('lr')
'Logistic Regression'

```
#### Documentation
+ Please read the [documentation](https://github.com/Jcharis/neatutils/wiki) for more information on what neatutils does and how to use is for your needs.

#### More Features To Add
+ awesome list
+ support for more file formats



#### Acknowledgements
   + Inspired by packages like PyCaret,Awesome-hub

### NB
+ Contributions Are Welcomed
+ Notice a bug, please let us know.
+ Thanks A lot

### By
+ Jesse E.Agbe(JCharis)
+ Jesus Saves @JCharisTech

