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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43 lines
2.0 KiB
43 lines
2.0 KiB
4 years ago
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# Vega: A Visualization Grammar <a href="https://vega.github.io/vega/"><img align="right" src="https://github.com/vega/logos/blob/master/assets/VG_Color@512.png?raw=true" height="38"></img></a>
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<a href="https://vega.github.io/vega/examples">
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<img src="https://vega.github.io/vega/assets/banner.png" alt="Vega Examples" width="900"></img>
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</a>
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**Vega** is a *visualization grammar*, a declarative format for creating, saving, and sharing interactive visualization designs. With Vega you can describe data visualizations in a JSON format, and generate interactive views using either HTML5 Canvas or SVG.
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For documentation, tutorials, and examples, see the [Vega website](https://vega.github.io/vega). For a description of changes between Vega 2 and later versions, please refer to the [Vega Porting Guide](https://vega.github.io/vega/docs/porting-guide/).
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## Install
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Use npm or yarn to install Vega for use in third-party libraries or applications.
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Using npm:
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```sh
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npm install vega
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```
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or using yarn:
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```sh
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yarn add vega
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```
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If you would like to install the Vega command line utilities (`vg2pdf`, `vg2png`, `vg2svg`), see the [`vega-cli` package](https://github.com/vega/vega/tree/master/packages/vega-cli).
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## Contributions, Development, and Support
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Interested in contributing to Vega? Please see our [contribution and development guidelines](CONTRIBUTING.md), subject to our [code of conduct](CODE_OF_CONDUCT.md).
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Looking for support, or interested in sharing examples and tips? Post to the [Vega discussion forum](https://groups.google.com/forum/#!forum/vega-js) or join the [Vega slack organization](https://bit.ly/join-vega-slack)!
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Read about future plans in [our roadmap](https://docs.google.com/document/d/1fscSxSJtfkd1m027r1ONCc7O8RdZp1oGABwca2pgV_E/edit#).
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## Package Development
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This package builds the bundled Vega library files and the JSON schema. It also includes a high-level test suite. If performing local development:
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- Run `yarn build` to build both browser and node.js bundles.
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- Run `yarn test` to run the test suite.
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