Julia wrapper of the python library CatBoost for boosted decision trees

Providing probability distributions and non-negative measures over finite sets, whose elements are labelled.

Julia implementation of Decision Tree (CART) and Random Forest algorithms

Early stopping criteria for loss-generating iterative algorithms

A package for controlling iterative algorithms

A Julia interface for training and applying models in machine learning and statistics

Julia client for MLFlow.

Core functionality for the MLJ machine learning framework

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MLJ.jl interface for GLM.jl models

A package for wrapping iterative MLJ models in a control strategy

An implementation of the MLJ model interface for support vector machines provided by LIBSVM.jl

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

Lightweight package to interface with MLJ

Home of the MLJ model registry and tools for model queries and mode code loading

Repository implementing MLJ interface for MultivariateStats models.

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Implementation of the MLJ scientific type convention

MLJ Interface for ScikitLearn.jl

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Utilities to test implementations of the MLJ model interface and provide integration tests for the MLJ ecosystem

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A an MLJ extension for accessing models and tools related to text analysis

A repository containing glue code for making TSVD.jl available to MLJ users

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

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Package providing K-nearest neighbor regressors and classifiers, for use with the MLJ machine learning framework.

Partial implementation of the OpenML API for Julia

An API for dispatching on the "scientific" type of data instead of the machine type

Base interface for dispatching on the "scientific" type of data instead of the machine type

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Plot recipe for plotting (decision) trees