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ml-matrix - npm Package Compare versions
Comparing version 6.1.2 to 6.2.0
@@ -0,1 +1,10 @@ | ||
| # [6.2.0](https://github.com/mljs/matrix/compare/v6.1.2...v6.2.0) (2019-07-20) | ||
| ### Features | ||
| * add NIPALS loop for factorization ([#91](https://github.com/mljs/matrix/issues/91)) ([043c8b6](https://github.com/mljs/matrix/commit/043c8b6)) | ||
| ## [6.1.2](https://github.com/mljs/matrix/compare/v6.1.1...v6.1.2) (2019-06-29) | ||
@@ -2,0 +11,0 @@ |
117
matrix.d.ts
@@ -111,13 +111,13 @@ type MaybeMatrix = AbstractMatrix | number[][]; | ||
| /** | ||
| * Constructs a matrix with the chosen dimensions from a 1D array. | ||
| * @param newRows - Number of rows. | ||
| * @param newColumns - Number of columns. | ||
| * @param newData - A 1D array containing data for the matrix. | ||
| * @returns The new matrix. | ||
| */ | ||
| /** | ||
| * Constructs a matrix with the chosen dimensions from a 1D array. | ||
| * @param newRows - Number of rows. | ||
| * @param newColumns - Number of columns. | ||
| * @param newData - A 1D array containing data for the matrix. | ||
| * @returns The new matrix. | ||
| */ | ||
| static from1DArray( | ||
| newRows: number, | ||
| newColumns: number, | ||
| newData: number[] | ||
| newData: number[], | ||
| ): Matrix; | ||
@@ -163,11 +163,7 @@ | ||
| */ | ||
| static rand( | ||
| rows: number, | ||
| columns: number, | ||
| options?: IRandomOptions | ||
| ): Matrix; | ||
| static rand(rows: number, columns: number, options?: IRandomOptions): Matrix; | ||
| static random( | ||
| rows: number, | ||
| columns: number, | ||
| options?: IRandomOptions | ||
| options?: IRandomOptions, | ||
| ): Matrix; | ||
@@ -184,3 +180,3 @@ | ||
| columns: number, | ||
| options?: IRandomIntOptions | ||
| options?: IRandomIntOptions, | ||
| ): Matrix; | ||
@@ -223,4 +219,4 @@ | ||
| * Returns a matrix whose elements are the maximum between `matrix1` and `matrix2`. | ||
| * @param matrix1 | ||
| * @param matrix2 | ||
| * @param matrix1 | ||
| * @param matrix2 | ||
| */ | ||
@@ -325,3 +321,3 @@ static max(matrix1: MaybeMatrix, matrix2: MaybeMatrix): Matrix; | ||
| * rows of the original matrix, and columns times the number of columns of the original matrix. | ||
| * | ||
| * | ||
| * @example | ||
@@ -577,3 +573,3 @@ * var matrix = new Matrix([[1, 2]]); | ||
| /** | ||
| * Returns a new column-by-column scaled matrix. | ||
| * Returns a new column-by-column scaled matrix. | ||
| * @param options | ||
@@ -630,3 +626,3 @@ * @example | ||
| startColumn: number, | ||
| endColumn: number | ||
| endColumn: number, | ||
| ): Matrix; | ||
@@ -643,3 +639,3 @@ | ||
| startColumn?: number, | ||
| endColumn?: number | ||
| endColumn?: number, | ||
| ): Matrix; | ||
@@ -656,3 +652,3 @@ | ||
| startRow?: number, | ||
| endRow?: number | ||
| endRow?: number, | ||
| ): Matrix; | ||
@@ -669,3 +665,3 @@ | ||
| startRow: number, | ||
| startColumn: number | ||
| startColumn: number, | ||
| ): this; | ||
@@ -750,3 +746,3 @@ | ||
| by: MatrixDimension, | ||
| options?: IVarianceByOptions | ||
| options?: IVarianceByOptions, | ||
| ): number[]; | ||
@@ -820,9 +816,6 @@ | ||
| matrix: MaybeMatrix, | ||
| value: ScalarOrMatrix | ||
| value: ScalarOrMatrix, | ||
| ): Matrix; | ||
| static rightShift(matrix: MaybeMatrix, value: ScalarOrMatrix): Matrix; | ||
| static zeroFillRightShift( | ||
| matrix: MaybeMatrix, | ||
| value: ScalarOrMatrix | ||
| ): Matrix; | ||
| static zeroFillRightShift(matrix: MaybeMatrix, value: ScalarOrMatrix): Matrix; | ||
@@ -934,3 +927,3 @@ // Functional operators (one arg) | ||
| rowIndices: number[], | ||
| columnIndices: number[] | ||
| columnIndices: number[], | ||
| ); | ||
@@ -945,3 +938,3 @@ } | ||
| startColumn: number, | ||
| endColumn: number | ||
| endColumn: number, | ||
| ); | ||
@@ -963,3 +956,3 @@ } | ||
| array: number[], | ||
| options?: IWrap1DOptions | ||
| options?: IWrap1DOptions, | ||
| ): WrapperMatrix1D; | ||
@@ -983,3 +976,3 @@ | ||
| rightHandSide: MaybeMatrix, | ||
| useSVD?: boolean | ||
| useSVD?: boolean, | ||
| ): Matrix; | ||
@@ -1024,3 +1017,3 @@ | ||
| matrix: MaybeMatrix, | ||
| options?: ILinearDependenciesOptions | ||
| options?: ILinearDependenciesOptions, | ||
| ): Matrix; | ||
@@ -1034,10 +1027,7 @@ | ||
| */ | ||
| export function pseudoInverse( | ||
| matrix: MaybeMatrix, | ||
| threshold?: number | ||
| ): Matrix; | ||
| export function pseudoInverse(matrix: MaybeMatrix, threshold?: number): Matrix; | ||
| export function covariance( | ||
| matrix: MaybeMatrix, | ||
| options?: ICovarianceOptions | ||
| options?: ICovarianceOptions, | ||
| ): Matrix; | ||
@@ -1048,3 +1038,3 @@ | ||
| yMatrix: MaybeMatrix, | ||
| options?: ICovarianceOptions | ||
| options?: ICovarianceOptions, | ||
| ): Matrix; | ||
@@ -1054,3 +1044,3 @@ | ||
| matrix: MaybeMatrix, | ||
| options?: ICorrelationOptions | ||
| options?: ICorrelationOptions, | ||
| ): Matrix; | ||
@@ -1061,3 +1051,3 @@ | ||
| yMatrix: MaybeMatrix, | ||
| options?: ICorrelationOptions | ||
| options?: ICorrelationOptions, | ||
| ): Matrix; | ||
@@ -1143,3 +1133,3 @@ | ||
| /** | ||
| * | ||
| * | ||
| * @param value - The matrix to decompose | ||
@@ -1190,1 +1180,42 @@ */ | ||
| export { QrDecomposition as QR }; | ||
| export interface INipalsOptions { | ||
| /** | ||
| * A column vector of length `X.rows` that contains known labels for supervised PLS. | ||
| */ | ||
| Y?: MaybeMatrix | number[]; | ||
| /** | ||
| * The maximum number of allowed iterations before beraking the loop if convergence is not achieved. | ||
| * Default: 1000 | ||
| */ | ||
| maxIterations?: boolean; | ||
| /** | ||
| * Termination criteria | ||
| * Default: 1e-10 | ||
| */ | ||
| terminationCriteria?: number; | ||
| } | ||
| export class Nipals { | ||
| /** | ||
| * Implementation of the NIPALS algorithm. | ||
| * Geladi, P and Kowalski, B.R. (1986) | ||
| * Partial least squares and regression: | ||
| * a tutorial. | ||
| * Analytica Chimica Acta 185, 1-17. | ||
| * @param X - A matrix to be factored | ||
| * @param options | ||
| */ | ||
| constructor(X: MaybeMatrix, options?: INipalsOptions); | ||
| w: Matrix; | ||
| s: Matrix; | ||
| t: number; | ||
| xResidual: Matrix; | ||
| p: Matrix; | ||
| q: Matrix; | ||
| u: number; | ||
| yResidual: Matrix; | ||
| betas: number; | ||
| } | ||
| export { Nipals as NIPALS }; |
| { | ||
| "name": "ml-matrix", | ||
| "version": "6.1.2", | ||
| "version": "6.2.0", | ||
| "description": "Matrix manipulation and computation library", | ||
@@ -65,2 +65,3 @@ "main": "matrix.js", | ||
| "mathjs": "^6.0.2", | ||
| "ml-dataset-iris": "^1.0.0", | ||
| "numeric": "^1.2.6", | ||
@@ -67,0 +68,0 @@ "pretty-hrtime": "^1.0.3", |
@@ -17,13 +17,14 @@ export { AbstractMatrix, default, default as Matrix } from './matrix'; | ||
| default as SingularValueDecomposition, | ||
| default as SVD | ||
| default as SVD, | ||
| } from './dc/svd.js'; | ||
| export { | ||
| default as EigenvalueDecomposition, | ||
| default as EVD | ||
| default as EVD, | ||
| } from './dc/evd.js'; | ||
| export { | ||
| default as CholeskyDecomposition, | ||
| default as CHO | ||
| default as CHO, | ||
| } from './dc/cholesky.js'; | ||
| export { default as LuDecomposition, default as LU } from './dc/lu.js'; | ||
| export { default as QrDecomposition, default as QR } from './dc/qr.js'; | ||
| export { default as Nipals, default as NIPALS } from './dc/nipals.js'; |
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Improved metrics
- Total package byte prevSize
- increased by2.21%
315897
- Number of package files
- increased by2.56%
40
- Lines of code
- increased by2.82%
10157
Worsened metrics
- Dev dependency count
- increased by7.14%
15
No dependency changes