Metadata-Version: 2.1
Name: py4logistic-regression
Version: 0.0.2
Summary: Logistic Regression Python Library
Home-page: https://github.com/luthfi118/py4logistic_regression
Author: Mgs. M. Luthfi Ramadhan
Author-email: luthfir96@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: numpy

# py4logistic_regression

Logistic Regression Python Library

## Getting Started

This project is simply implementation of logistic regression algorithm in python programming language.

### Prerequisites

Numpy


### Installing

The easiest way to install py4logistic_regression is using pip

```
pip install py4logistic_regression
```

### Usage
There is 2 public method of Logistic Regression class. It is learn and predict method, learn method takes 5 argument namely x_train, t_train, alpha, and epoch. It is the training data, it's label, learning rate, and number of iteration respectively. predict method takes 1 argument namely x_test. It is the data to be predicted
```
from py4logistic_regression.regression import logistic_regression
x_train=[[0,0],[0,1],[1,0],[1,1]]
t_train=[0,0,0,1]
classifier=logistic_regression()
classifier.learn(x_train,t_train,0.1,50)
x_test=[[0.02,0.25],[0.97,0.89]]
y=classifier.predict(x_test)
```


