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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20 lines
441 B
20 lines
441 B
module.exports = properties
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function properties(tokens) {
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for (var i = 0; i < tokens.length; i++) {
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var token = tokens[i]
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token.property = false
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if (token.type !== 'ident') continue
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var j = i
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while (tokens[--j] && tokens[j].type === 'whitespace');
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if (!tokens[j]) continue
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if (tokens[j].type !== 'operator') continue
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if (tokens[j].data !== '.') continue
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token.property = true
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}
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return tokens
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}
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