MLBox (http://mlbox.readthedocs.io/en/latest/) is another AutoML library and it supports distributed data processing, cleaning, formatting, and state-of-the-art algorithms such as LightGBM and XGBoost. It also supports model stacking, which allows you to combine an information ensemble of models to generate a new model aiming to have better performance than the individual models.
Here's an example of its usage:
# Necessary Importsfrom mlbox.preprocessing import *from mlbox.optimisation import *from mlbox.prediction import *import wgetfile_link = 'https://apsportal.ibm.com/exchange-api/v1/entries/8044492073eb964f46597b4be06ff5ea/data?accessKey=9561295fa407698694b1e254d0099600'file_name = wget.download(file_link)print(file_name)# GoSales_Tx_NaiveBayes.csv ...
