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))Support
You can ask questions and join the development discussion:
