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Please add links to animints (and their source code) on this page.
Animint tutorial pages, originally by Susan VanderPlas, with additions from other animint devs
Carson Sievert's strike zone expansion viz
Kevin Ferris's visualization of pirate attacks
Full path of changepoint models and cost functions, source
3 Oct 2019 Minimizing area under min(FP,FN), AUC and AUM improves after gradient descent, source
12 June 2020 Labeled Optimal Partitioning (LOPART) algorithm, source
Spring 2020 Links to interactive ROC curves for binary classification, with source code.
19 Aug 2019 Some generalized ROC curves with AUC>1, source
19 Aug 2019 Generalized ROC curve maximization / 2 ChIP-seq samples peak detection error curve alignment problem, source
ML algos predicting species presence, with Lasso coefficients, 10-fold CV, source
Maximum likelihood Gaussian segmentation model selection with BIC from animint/inst/examples/intreg.R.
Max margin interval regression for supervised segmentation model selection from animint/inst/examples/intreg.R.
Learned penalty function vs BIC from change-tutorial/figure-regression-interactive-some.R.
Data viz with 206 selectors of PeakSegJoint model on chunk1 of the PeakSegDP exampleData set [source].
Cost/slack minimization over all feature thresholds, for building max margin interval tree models source
PeakSegJoint heuristic segmentation algorithm demonstration [source].
Consistency of PeakSegJoint and PeakSeg in simulated Poisson data [source]
Demonstrations of Pruned Dynamic Programming Algorithm: 4 data, 234 data, source
Demo of constrained Pruned DPA source
Compare interval regression tree model predictions, source
WorldBank facets + select multiple countries, source.
WorldBank data viz for Animint paper, source.
breakpoints select multiple segmentation models
Tornado select multiple states
Montreal bike data:
| software | designer | published | notes |
|---|---|---|---|
| Animint | Toby Dylan Hocking | Jan 2016 | map + accidents + counters |
| Animint | Toby Dylan Hocking | Oct 2014 | select multiple counter locations |
| Tableau | Roberto Rocha | Nov 2011 | select single location |
GP sample selection model prediction accuracy, source
Max-margin supervised penalty learning for peak detection in ChIP-seq data source
Peak detection test ROC curves source.
BROKEN: Climate change sensor stations [source].
BROKEN: Labeled genomic windows with links to PNG images source.
BROKEN: Peaks in target interval if infeasible models are allowed source.
BROKEN: Carson Sievert's interactive animation of baseball data
BROKEN: L1-regularized logistic regression model of differences in ChIP-seq profiles from https://github.com/tdhock/animint-examples/ -- 4 selectors
BROKEN: Comparison of test error of 3 ChIP-seq peak detection algorithms -- 3 selectors, 5 plots. Other version with colored ROC curves and 6 plots.