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Merge pull request #15 from Kanaries/feat_subspace_new_alg
Feat: subspace new algorithm
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,45 +1,109 @@ | ||
| import { DataSource } from "../commonTypes"; | ||
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|
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| export function chiSquared(matrix: number[][] = [[]]): number { | ||
| let rowSums = matrix.map(m => 0); | ||
| let colSums = matrix[0].map(m => 0); | ||
| type nestTree = Map<string, Map<string, number>>; | ||
| export function chiSquared(nestTree: nestTree, xSet: Set<string>, ySet: Set<string>): number { | ||
| if (typeof nestTree === 'undefined' || typeof xSet === 'undefined' || typeof ySet === 'undefined') { | ||
| return 0; | ||
| } | ||
| let rowSums = new Map<string, number>(); | ||
| let colSums = new Map<string, number>(); | ||
| let totalSum = 0; | ||
| for (let i = 0; i < matrix.length; i++) { | ||
| for (let j = 0; j < matrix[i].length; j++) { | ||
| rowSums[i] += matrix[i][j]; | ||
| colSums[j] += matrix[i][j]; | ||
| totalSum += matrix[i][j]; | ||
| for (let x of xSet) { | ||
| rowSums.set(x, 0); | ||
| } | ||
| for (let y of ySet) { | ||
| colSums.set(y, 0); | ||
| } | ||
| for (let [x, node] of nestTree) { | ||
| for (let [y, counter] of node) { | ||
| rowSums.set(x, rowSums.get(x) + counter); | ||
| colSums.set(y, colSums.get(y) + counter); | ||
| totalSum += counter; | ||
| } | ||
| } | ||
|
|
||
| let chis = 0; | ||
| for (let i = 0; i < matrix.length; i++) { | ||
| for (let j = 0; j < matrix[i].length; j++) { | ||
| let observed = matrix[i][j]; | ||
| let expected = rowSums[i] * colSums[j] / totalSum; | ||
| for (let [x, node] of nestTree) { | ||
| for (let [y, observed] of node) { | ||
| let expected = rowSums.get(x) * colSums.get(y) / totalSum; | ||
| chis += (observed - expected) ** 2 / expected; | ||
| } | ||
| } | ||
| return chis; | ||
| } | ||
|
|
||
| export function crammersV(dataSource: DataSource, fieldX: string, fieldY: string) { | ||
| const xSet = new Set(dataSource.map(d => d[fieldX])) | ||
| const ySet = new Set(dataSource.map(d => d[fieldY])) | ||
| const xMembers = [...xSet]; | ||
| const yMembers = [...ySet]; | ||
| let xDict = {}; | ||
| let yDict = {}; | ||
| for (let i = 0; i < xMembers.length; i++) { | ||
| xDict[xMembers[i]] = i; | ||
| } | ||
| for (let i = 0; i < yMembers.length; i++) { | ||
| yDict[yMembers[i]] = i; | ||
| } | ||
| let matrix: number[][] = xMembers.map(x => yMembers.map(y => 0)); | ||
| for (let record of dataSource) { | ||
| matrix[xDict[record[fieldX]]][yDict[record[fieldY]]]++; | ||
|
|
||
| export function crammersV(dataSource: DataSource, fieldX: string, fieldY: string): number { | ||
| const xSet = new Set<string>() | ||
| const ySet = new Set<string>() | ||
| const nestTree = new Map<string, Map<string, number>>(); | ||
| let len = dataSource.length; | ||
| for (let i = 0; i < len; i++) { | ||
| let record = dataSource[i]; | ||
| xSet.add(record[fieldX]) | ||
| ySet.add(record[fieldY]); | ||
| if (!nestTree.has(record[fieldX])) { | ||
| nestTree.set(record[fieldX], new Map()); | ||
| } | ||
| let node = nestTree.get(record[fieldX]); | ||
| if (!node.has(record[fieldY])) { | ||
| node.set(record[fieldY], 0); | ||
| } | ||
| node.set(record[fieldY], node.get(record[fieldY]) + 1); | ||
| } | ||
| const chis = chiSquared(matrix); | ||
| const V = Math.sqrt(chis / (dataSource.length * Math.min(xMembers.length - 1, yMembers.length - 1))) | ||
| const chis = chiSquared(nestTree, xSet, ySet); | ||
| const V = Math.sqrt(chis / (dataSource.length * Math.min(xSet.size - 1, ySet.size - 1))) | ||
| return V; | ||
| } | ||
| } | ||
|
|
||
|
|
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| // can be used for test | ||
| // export function crammersV(dataSource: DataSource, fieldX: string, fieldY: string): number { | ||
| // const xSet = new Set(dataSource.map(d => d[fieldX])) | ||
| // const ySet = new Set(dataSource.map(d => d[fieldY])) | ||
| // const xMembers = [...xSet]; | ||
| // const yMembers = [...ySet]; | ||
| // let xDict = {}; | ||
| // let yDict = {}; | ||
| // for (let i = 0; i < xMembers.length; i++) { | ||
| // xDict[xMembers[i]] = i; | ||
| // } | ||
| // for (let i = 0; i < yMembers.length; i++) { | ||
| // yDict[yMembers[i]] = i; | ||
| // } | ||
| // // let matrix: number[][] = xMembers.map(x => yMembers.map(y => 0)); | ||
| // let matrix: number[][] = []; | ||
| // for (let i = 0; i < xMembers.length; i++) { | ||
| // matrix.push([]); | ||
| // for (let j = 0; j < yMembers.length; j++) { | ||
| // matrix[i].push(0); | ||
| // } | ||
| // } | ||
| // for (let record of dataSource) { | ||
| // matrix[xDict[record[fieldX]]][yDict[record[fieldY]]]++; | ||
| // } | ||
| // const chis = chiSquared(matrix); | ||
| // const V = Math.sqrt(chis / (dataSource.length * Math.min(xMembers.length - 1, yMembers.length - 1))) | ||
| // return V; | ||
| // } | ||
|
|
||
| // export function chiSquared(matrix: number[][] = [[]]): number { | ||
| // let rowSums = matrix.map(m => 0); | ||
| // let colSums = matrix[0].map(m => 0); | ||
| // let totalSum = 0; | ||
| // for (let i = 0; i < matrix.length; i++) { | ||
| // for (let j = 0; j < matrix[i].length; j++) { | ||
| // rowSums[i] += matrix[i][j]; | ||
| // colSums[j] += matrix[i][j]; | ||
| // totalSum += matrix[i][j]; | ||
| // } | ||
| // } | ||
| // let chis = 0; | ||
| // for (let i = 0; i < matrix.length; i++) { | ||
| // for (let j = 0; j < matrix[i].length; j++) { | ||
| // let observed = matrix[i][j]; | ||
| // let expected = rowSums[i] * colSums[j] / totalSum; | ||
| // chis += (observed - expected) ** 2 / expected; | ||
| // } | ||
| // } | ||
| // return chis; | ||
| // } |
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