MLJ

Introduction
Getting Started
Common MLJ Workflows
Working with Categorical Data
Model Search
Machines
Evaluating Model Performance
Performance Measures
Tuning Models
Learning Curves
Transformers and other unsupervised models
Composing Models
Homogeneous Ensembles
Generating Synthetic Data
OpenML Integration
Acceleration and Parallelism
Simple User Defined Models
Quick-Start Guide to Adding Models
Adding Models for General Use
Benchmarking
Internals
List of Supported Models
Third Party Packages
Glossary
MLJ Cheatsheet
FAQ
Julia BlogPost
Index of Methods

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This document was generated with Documenter.jl on Monday 25 January 2021. Using Julia version 1.5.3.