Multiple Instance Datasets (MIDatasets.jl)

Musk1, Musk2, Fox, Tiger, Elephant,...

Datasets are taken from http://www.miproblems.org/datasets/

Structure of datasets is Vector{Matrix{Float32}}, where rows of matrices correspond to instances

Installation

You can download datasets using Julia's package manager

] add https://github.com/komartom/MIDatasets.jl.git

List of all available datasets

using MIDatasets
datasets = midatasets()

Load a dataset

X, y = midataset("Musk1");

Indexes for cross-validation

Each dataset also contains indexes of 5-times repeated 10-fold cross-validation for reproducible research

X, y, folds = midataset("Musk1", folds=true);

# Trainig samples and labels for the second fold of the first repetition
Xtrain = X[folds[1][2]]
ytrain = y[folds[1][2]]

# Testing samples and labels for the second fold of the first repetition
Xtest = X[.!folds[1][2]]
ytest = y[.!folds[1][2]]