StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics https://doi.org/10.1109/TVCG.2020.3030352
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StackGenVis/frontend/node_modules/triangulate-hypercube/README.md

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triangulate-hypercube
=====================
Triangulates an n-dimensional hypercube into a collection of simplices.
**Note:** In high dimensions, this triangulation is not very efficient. Pull requests welcome.
# Example
```javascript
var triangulateCube = require("triangulate-hypercube")
console.log(triangulateCube(2))
```
Output:
```javascript
[ [ 3, 2, 0 ], [ 0, 1, 3 ] ]
```
# Install
```
npm install triangulate-hypercube
```
# API
#### `require("triangulate-hypercube")(dimension)`
Computes a decomposition of an n-dimensional hypercube into simplices using a naive permutation based algorithm.
* `dimension` is an integer representing the dimension of the hypercube to triangulate
**Returns** A list of `n` dimensional simplices which subdivide the cube.
# Credits
(c) 2014 Mikola Lysenko. MIT License