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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46 lines
686 B
46 lines
686 B
export {default as bandSpace} from './src/scales/bandSpace';
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export {
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Identity,
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Linear,
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Log,
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Pow,
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Sqrt,
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Symlog,
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Time,
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UTC,
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Sequential,
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Diverging,
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Quantile,
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Quantize,
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Threshold,
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BinOrdinal,
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Ordinal,
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Band,
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Point
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} from './src/scales/types';
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export {
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interpolate,
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interpolateColors,
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interpolateRange,
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scaleCopy,
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scaleFraction,
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quantizeInterpolator
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} from './src/interpolate';
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export {
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scale,
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isValidScaleType,
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isContinuous,
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isDiscrete,
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isDiscretizing,
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isInterpolating,
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isLogarithmic,
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isQuantile,
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isTemporal
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} from './src/scales';
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export {scheme} from './src/schemes';
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export {scaleImplicit, tickFormat} from 'd3-scale';
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