Auto_Gradient_Boosting

Implementation of auto gradient boosting algorithm This repository hosts the development of the Auto_Gradient_Boosting.

About Awesome Linear Regression

Auto_Gradient_Boosting , is a mathematics API written in Python. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result as fast as possible is key to doing good research.

Auto_Gradient_Boosting is:

• Simple
• Flexible
• Powerful

First contact with Awesome Linear Regression

The core data structures of Auto_Gradient_Boosting are consign and result.

For installation run :

pip install Auto-Gradient-Boosting

Here is an exemple :

import numpy as np
from Auto_Gradient_Boosting import AGB


# Sample training data set

x = np.matrix([[0,1],[1,4],[7,8],[50,23]])
y = np.matrix([[2],[9],[23],[96]])

# Train the model
learning_rate = 0.01
agb = AGB(x,y,learning_rate)

Let make prediction

 px = np.matrix([[4,7]])
 print(agb.predict(px))

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Support

You can ask questions and join the development discussion:

• Facebook page .

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