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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Angelos Chatzimparmpas
e069030893
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| node_modules/d3-array | 3 years ago | |
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| package.json | 3 years ago | |
README.md
vega-transforms
Data processing transforms for Vega dataflows.
This package provides the following Vega data transforms:
- Aggregate <>
- Bin <>
- Collect <>
- CountPattern <>
- Cross <>
- Density <>
- DotBin <>
- Extent <>
- Filter <>
- Flatten <>
- Fold <>
- Formula <>
- Impute <>
- JoinAggregate <>
- KDE <>
- Lookup <>
- Pivot <>
- Project <>
- Quantile <>
- Sample <>
- Sequence <>
- TimeUnit <>
- Window <>
And provides the following internal transforms:
- Compare <>
- Expression <>
- Facet <>
- Field <>
- Generate <>
- Key <>
- MultiExtent <>
- MultiValues <>
- Params <>
- PreFacet <>
- Proxy <>
- Relay <>
- Sieve <>
- Subflow <>
- TupleIndex <>
- Values <>
For more information about data stream transforms, see the Vega transform documentation.