py4logistic-regression 0.0.2

Logistic Regression Python Library

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)