WhizzML is a new domain-specific language for automating Machine Learning workflows, implementing high-level Machine Learning algorithms, and easily sharing them with others. WhizzML offers out-of-the-box scalability, abstracts away the complexity of underlying infrastructure, and helps analysts, developers, and scientists reduce the burden of repetitive and time-consuming analytics tasks

Documents

Automate Machine Learning Workflows

With WhizzML you can transform time-consuming tasks into 1-click actions in your BigML Dashboard or into a single BigML API call to easily integrate complex Machine Learning tasks in your applications or data pipelines.

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Implement High-Level Algorithms

WhizzML provides a framework for scalable remote execution of Machine Learning workflows by eliminating brittle client-server communications and automatically taking care of sophisticated server-side optimization.

WhizzML Repository

Share Workflows and Algorithms with Others

WhizzML provides the infrastructure for creating and sharing Machine Learning scripts and libraries with others. Get new ideas on how to improve your workflows or simply copy from a library of proven solutions already on the WhizzML gallery.

Visit WhizzML Gallery!

WhizzML Training Series

Watch these in-depth training recordings.

WhizzML Guides and Documentation

Primer Guide

Getting Started with WhizzML

An introduction to WhizzML, a domain-specific language for creating sophisticated and efficient Machine Learning workflows. This document provides an overview of WhizzML and a primer to the language, complete with solution examples.

Tutorials

WhizzML Tutorials

This document contains a collection of WhizzML tutorials, organized by complexity. These are intended to help you write your own WhizzML Scripts and Libraries.

Language Reference

WhizzML Reference Manual

This document provides the full Reference Manual for the WhizzML language, including its standard library. WhizzML is a symbolic, functional language with lambda abstractions, mapping constructs and an extensive standard library geared towards the creation and manipulation of BigML resources to compose arbitrarily complex Machine Learning workflows.