GitHub

mwburke/xgboost-python-deploy

You can install this from pip using pip install xgboost-deploy. The current version is 0.0.2. It was tested on python 3.6 and and XGBoost 0.8.1. The typical way of ...
GitHub

XGBoost prediction not matching when model built on python and used in c++

Following is my python code to generate the model. import pandas as pd import sklearn import numpy as np import sys from sklearn import preprocessing df = pd.read_csv('MultiClass_DataSet.csv') ...
InfoWorld

Time series forecasting with XGBoost and InfluxDB

XGBoost is a popular open source machine learning library that can be used to solve all kinds of prediction problems. Here’s how to use XGBoost with InfluxDB. XGBoost is an open source machine ...
syncedreview

Tree Boosting With XGBoost – Why Does XGBoost Win “Every” Machine Learning Competition?

Tree boosting has empirically proven to be efficient for predictive mining for both classification and regression. For many years, MART (multiple additive regression trees) has been the tree boosting ...