{"id":20063210,"url":"https://github.com/alan-turing-institute/timeseriesclassification.jl","last_synced_at":"2025-05-05T17:32:30.465Z","repository":{"id":56032585,"uuid":"261815091","full_name":"alan-turing-institute/TimeSeriesClassification.jl","owner":"alan-turing-institute","description":"Machine Learning with Time Series in 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MLJTime\nAn [MLJ](https://github.com/alan-turing-institute/MLJ.jl) compatible Julia toolbox for machine learning with\ntime series.\n\n[![Build Status](https://github.com/alan-turing-institute/MLJTime.jl/workflows/CI/badge.svg)](https://github.com/alan-turing-institute/MLJTime.jl/actions)\n[![Coverage](http://codecov.io/github/alan-turing-institute/MLJTime.jl/coverage.svg?branch=master)](http://codecov.io/github/alan-turing-institute/MLJTime.jl?branch=master)\n\n\n## Installation\nTo install MLJTime.jl, launch Julia and run:\n```julia\n]add \"https://github.com/alan-turing-institute/MLJTime.jl.git\"\n```\nMLJTime.jl requires Julia version 1.0 or greater.\n\n## Quickstart \n```julia\nusing MLJTime\n\n# load data\nX, y = ts_dataset(\"Chinatown\")\n\n# split data into training and test set\ntrain, test = partition(eachindex(y), 0.7, shuffle=true, rng=1234) #70:30 split\nX_train, y_train = X[train], y[train];\nX_test, y_test = X[test], y[test];\n\n# train model\nmodel = TimeSeriesForestClassifier(n_trees=3)\nmach = machine(model, matrix(X_train), y_train)\nfit!(mach)\n\n# make predictions\ny_pred = predict_mode(mach, matrix(X_train))\n```\n\n## Documentation\nTo find out more, check out our:\n\n* [Blog post](https://nextjournal.com/aa25desh)\n* [Tutorial](https://github.com/aa25desh/MLJTimeTutorials.jl)\n\n## Future work\nIn future work, we want to add:\n\n* Support for multivariate time series,\n* Shapelet based classification algorithms,\n* Enhancements to KNN (KDTree and BallTree algorithms),\n* Forecasting framework.\n\n## How contribute\n* If you are interested, please raise an issue or get in touch with the MLJTime team on slack. \n\n## About the project\nThis project was originally developed as part of the Google Summer of Code 2020 with the support of the Julia community and my mentors [Sebastian Vollmer](https://warwick.ac.uk/fac/sci/maths/people/staff/vollmer/) and [Markus Löning](https://github.com/mloning).\n\nActive maintainers: \n* [Aadesh Deshmukh](https://github.com/aa25desh)\n* Markus Löning\n* Sebastian Vollmer\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falan-turing-institute%2Ftimeseriesclassification.jl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falan-turing-institute%2Ftimeseriesclassification.jl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falan-turing-institute%2Ftimeseriesclassification.jl/lists"}