Welcome to MAADSBML documentation!
MAADSBML is Auto Machine Learning (AutoML) for Batch Data. It is a technology that runs in a Docker container and can be freely used by anyone.
MAADSBML is a powerful AutoML technology that can analyse numeric data sets and find the BEST algorithm for your data.
Note
MAADSBML (MAADS=Multi-Agent Accelerator for Data Science) runs in a Docker Container for both MAC/Linux and Windows/Linux users.
Watch the Youtube Video: YouTube Video
Docker Container for MAC/Linux is here: MAC/Linux
Docker Container for Windows/Linux is here: Windows/Linux
MAADSBML is accessed using a REST API using the MAADSBML Python Library
A pre-written Jupyter Notebook can be found here: MAADSBML Jupyter Notebook: maadsbmlcode.ipynb
Additional MAADSBML Setup and Configuration PDF is here: Setup and Configuration
Create Your Python Package
Contents
- MAADSBML Usage
- Docker Desktop
- MAADSBML Python Library API
- MAADSBML Jupyter Notebook
- MAADSBML Real-Time Dashboard
- MAADSBML PDF OUTPUT
- MAADSBML ALGORITHMS
- Find The Best Distribution For Your Data
- Creating Python Packages