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Published 22 months ago • verified publisherml-algo.com• Latest: 13.12.6
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SIMD-based linear algebra and statistics, efficient manipulation with numeric data

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Changelog #

13.12.2 #

  • README:
    • Add link to solve method api docs

13.12.1 #

  • Vector:
    • Extracting values from cache for exp and prod methods fixed

13.12.0 #

  • Matrix:
    • add solve method for solving a system of linear equations

13.11.31 #

  • Lib migration to Dart 3.0.0 (only non-breaking changes)

13.11.30 #

  • Vector:
    • Fixed typo in documentation for min method

13.11.29 #

  • README:
    • added differences between vector_math and ml_linalg

13.11.28 #

  • Matrix:
    • transpose method speed up

13.11.27 #

  • Matrix:
    • Float32Matrix, Float64Matrix:
      • Matrix constructors replaced by specific ones

13.11.26 #

  • Matrix:
    • mean: redundant code removed

13.11.25 #

  • Matrix:
    • variance method speed up

13.11.24 #

  • Matrix:
    • mean method speed up

13.11.23 #

  • Matrix:
    • prod method fixed

13.11.22 #

  • Matrix:
    • max and min methods speed up

13.11.21 #

  • Matrix:
    • mutiply method (Hadamard product) speed up

13.11.20 #

  • Matrix:
    • pow, sum, prod, exp, log methods speed up

13.11.19 #

  • Matrix:
    • norm method speed up (frobenius case)

13.11.18 #

  • Matrix:
    • mapElements method speed up

13.11.17 #

  • Matrix:
    • sample method speed up

13.11.16 #

  • Matrix:
    • transpose method fixed for oversized flattened list

13.11.15 #

  • Matrix:
    • Flattened SIMD list length fixed

13.11.14 #

  • Benchmarks:
    • Added new baseline scenarios for List-List addition

13.11.13 #

  • Matrix:
    • Little optimization for 'getRow' and 'getColumn'

13.11.12 #

  • Matrix:
    • SIMD used in matrix-matrix operations => performance improved for a lot of operations
    • Architectural changes: MatrixDataManager removed, MatrixFactory removed

13.11.11 #

  • Matrix:
    • SIMD used in matrix-scalar operations => performance improved for a lot of operations

13.11.10 #

  • Vector:
    • getter _simdList changed to function => performance improved for a lot of operations
    • getter _typedList changed to function => performance improved for a lot of operations

13.11.9 #

  • Add more tests for:
    • Matrix.columnIndices
    • Matrix.columns
    • Matrix.decompose

13.11.8 #

  • More tests added for matrix "add" operator

13.11.7 #

  • Matrix:
    • Arithmetic operations speed up

13.11.6 #

  • Matrix, Vector:
    • Multiplication speed up

13.11.5 #

  • Matrix:
    • ByteData replaced with typed lists

13.11.4 #

  • Matrix:
    • inverse method speed up (Forward substitution case)

13.11.3 #

  • Matrix:
    • inverse method speed up (Backward substitution case)

13.11.2 #

  • Matrix:
    • decompose method speed up (LU decomposition case)

13.11.1 #

  • Matrix:
    • decompose method speed up (Cholesky decomposition case)

13.11.0 #

  • Matrix:
    • transpose method speed up
    • fromByteData constructor added

13.10.7 #

  • Vector:
    • Arithmetic operations: vector32-vector64 operations speed up

13.10.6 #

  • Vector:
    • Arithmetic operations: replace 'List' with 'Iterable'

13.10.5 #

  • README:
    • Add information on Vector creation to README

13.10.4 #

  • README:
    • Add examples on vector arithmetic operations to README

13.10.3 #

  • Vector:
    • Add compatibility for arithmetic operations between float32 and float64 vectors
    • Add compatibility for arithmetic operations with List class

13.10.2 #

  • Vector:
    • fromList, randomFilled, filled constructors speed up

13.10.1 #

  • Vector:
    • '+', '-', '/', '*' operators: acceptable types narrowed

13.10.0 #

  • Matrix:
    • eigen method added, Power Iteration method added

13.9.0 #

  • Vector:
    • hamming distance implemented

13.8.0 #

  • Vector:
    • Added set method

13.7.0 #

  • Vector:
    • Added median method

13.6.0 #

  • Matrix:
    • Added variance method

13.5.0 #

  • Vector:
    • Added filterElements method

13.4.0 #

  • Matrix:
    • Added filterColumns method

13.3.3 #

  • Matrix:
    • Added random constructor
    • Added randomSPD constructor
    • Optimized Cholesky decomposition
    • Optimized LU inverse
    • Optimized Cholesky inverse

13.3.2 #

  • Added .g symbol to the names of all autogenerated files
  • Matrix:
    • Optimised LU decomposition

13.3.1 #

  • Added documentation for matrix decomposition and inversion

13.3.0 #

  • Matrix:
    • Added LU inverse
    • Added backward substitution inverse

13.2.0 #

  • Matrix:
    • Added LU decomposition

13.1.1 #

  • Matrix:
    • Added extra test-cases for Cholesky decomposition

13.1.0 #

  • Matrix:
    • Added Cholesky decomposition
    • Added inverse method:
      • Cholesky inverse
      • Forward substitution inverse for triangular matrices

13.0.2 #

  • Error handling improvements

13.0.1 #

  • pubspec.yaml:
    • mockito dependency updated
    • test dependency updated

13.0.0 #

  • null-safety supported (stable)

13.0.0-nullsafety.0 #

  • null-safety supported (beta)

12.17.10 #

  • xrange v1.0.0 supported

12.17.9 #

  • README.md: images for SIMD examples corrected

12.17.8 #

  • matrixToJson, fromMatrixJson, vectorToJson, fromVectorJson:
    • null value handling

12.17.7 #

  • Distance:
    • export files for serialization functions added

12.17.6 #

  • Distance:
    • serialization logic added
  • CI:
    • github actions set up

12.17.5 #

  • FUNDING.yml created

12.17.4 #

  • Matrix.fromRows: copying source list instead of passing it by reference added (issue #100)
  • Matrix.fromColumns: copying source list instead of passing it by reference added (issue #100)

12.17.3 #

  • injector lib 1.0.9 supported

12.17.2 #

  • pubspec:
    • injector dependency corrected

12.17.1 #

  • Matrix.pow: caching removed
  • Vector.sum: summation of SIMD lanes fixed

12.17.0 #

  • Vector:
    • Vector.log method added
  • Matrix:
    • Matrix.log method added

12.16.0 #

  • Matrix:
    • Matrix.mapElements method added

12.15.0 #

  • Matrix:
    • Matrix.multiply method added

12.14.0 #

  • Vector:
    • Vector.mapToVector method added

12.13.0 #

  • Matrix:
    • Matrix.sum method added
    • Matrix.prod method added
  • Vector:
    • Vector.prod method added

12.12.0 #

  • Matrix:
    • Matrix.exp method added
  • Vector:
    • Vector.exp method added

12.11.0 #

  • Matrix:
    • Matrix.pow method added
  • Vector:
    • Vector.toIntegerPower is deprecated
    • Vector.pow method added

12.10.0 #

  • Matrix:
    • Matrix.isSquare getter added
    • division operator: throwing exception added in case of square matrix

12.9.0 #

  • Vector:
    • fromJson constructor added
    • toJson method added
  • vectorToJson helper function added to public API
  • fromVectorJson helper function added to public API

12.8.2 #

  • fromMatrixJson: dynamic type support added to parsing

12.8.1 #

  • DType:
    • dTypeToJson helper function added to public API
    • fromDTypeJson helper function added to public API

12.8.0 #

  • Matrix:
    • fromJson constructor added
    • toJson method added
  • matrixToJson helper function added to public API
  • fromMatrixJson helper function added to public API

12.7.1 #

  • Matrix: fromList constructor, check for length of nested lists added

12.7.0 #

  • Matrix: constructors speed up
  • Float64-based matrix class added

12.6.0 #

  • Vector: vector operations speed up
  • Float64x2Vector: Float64x2Vector class created

12.5.1 #

  • Axis: documentation added
  • DType: documentation added
  • Matrix: documentation extended and corrected

12.5.0 #

  • Matrix:
    • Matrix.row constructor added
    • Matrix.column constructor added

12.4.0 #

  • Matrix:
    • Matrix.diagonal constructor added (for creation diagonal matrices)
    • Matrix.scalar constructor added (for creation scalar matrices)
    • Matrix.identity constructor added (for creation identity matrices)

12.3.0 #

  • Matrix:
    • mean method added
    • deviation method added
    • hasData getter added
    • empty constructor added
  • Vector:
    • empty constructor added

12.2.0 #

  • Vector:
    • sqrt method added

12.1.0 #

  • Matrix:
    • rowIndices field added to the interface
    • columnIndices field added to the interface

12.0.2 #

  • xrange 0.0.8 version supported (integers function used instead of ZRange)

12.0.1 #

  • xrange package version locked

12.0.0 #

  • Matrix:
    • pick method removed
    • submatrix method replaced with sample method
    • [] operator returns Vector from now
  • Vector:
    • randomFilled constructor api changed, min and max args are of num type now
    • fromList constructor api changed, from now as a source expected List<num> instead of List<doublet>
    • filled constructor api changed, from now sampling value is a num instead of double
  • Dart sdk constraint returned to 2.2.0

11.0.0 #

  • Dart sdk constraint changed: from 2.2.0 to 2.4.0
  • Matrix: pick method refactored
  • Grinder tasks for unit testing, code analysis and coverage added

10.3.7 #

  • Matrix: Iterable<Iterable<double>> implemented

10.3.6 #

  • Vector: randomFilled default parameters fixed
  • Tests for Vector's constructors added

10.3.5 #

  • readme updated: explanation images added

10.3.4 #

  • Images for readme.md updated (simd architecture explanation)

10.3.3 #

  • Images for readme.md added (simd architecture explanation)

10.3.2 #

  • Vector:
    • hashCode speed up
    • randomFilled constructor extended: min and max parameters added

10.3.1 #

  • Vector: hashCode improvements

10.3.0 #

  • Vector: hashCode re-implemented: now it's possible to use the vector as a map key

10.2.0 #

  • Matrix: sort method added and implemented

10.1.0 #

  • Vector: subvectorByRange method added and implemented (for float32 vector)

10.0.4 #

  • pubspec.yaml: sdk version constraint changed from >=2.3.0 to >=2.2.0

10.0.3 #

  • Float32Matrix.columns: empty list supported as a source
  • Float32Matrix.rows: empty list supported as a source

10.0.2 #

  • Float32Matrix.fromList: empty list supported as a source

10.0.1 #

  • Links in README corrected

10.0.0 #

  • Vector:
    • removed possibility to mutate an instance of the Vector:
      • isMutable flag removed
      • []= operator removed
  • Matrix:
    • removed possibility to mutate an instance of the Matrix:
      • setColumn method removed
    • insertColumns method added
    • Matrix.from renamed to Matrix.fromList
    • Matrix.fromFlattened renamed to Matrix.fromFlattenedList
    • benchmarks added for checking matrix initialization performance
  • Performance enhancements
  • Dart 2.3.0 supported

9.0.0 #

  • Vector:
    • Distance enum added
    • distanceTo method refactored
    • cosine distance calculation added

8.0.0 #

  • Matrix:
    • rows constructor renamed to fromRows
    • columns constructor renamed to fromColumns
    • flattened constructor renamed to fromFlattened
    • rows getter added
    • columns getter added

7.0.0 #

  • Matrix: ZRange support (instead of the library built-in Range)

6.1.1 #

  • Vector: unique method refactored

6.1.0 #

  • Vector:
    • normalize method added to interface and supported in Float32x4Vector
    • rescale method added to interface and supported in Float32x4Vector
  • VectorBase: cache for popular operations implemented

6.0.2 #

  • Matrix: MatrixMixin corrected

6.0.1 #

  • Vector class refactored (get rid of redundant mixins)

6.0.0 #

  • prefix ML removed from entities' names
  • Float32x4Vector: equality operator override added
  • Matrix: uniqueRows method added

5.5.1 #

  • MLMatrix: fixed bug in setColumn method when rows cache was not cleared

5.5.0 #

  • MLMatrix: setColumn method implemented

5.4.0 #

  • MLMatrix: dummy for setColumn method added

5.3.0 #

  • MLMatrix: frobenius norm calculation added

5.2.0 #

  • MLMatrix: / operator added
  • MLMatrix: rowsMap method added
  • MLMatrix: columnsMap method added

5.1.0 #

  • max and min methods added for matrix

5.0.1 #

  • Travis integration added
  • dartfmt task added

5.0.0 #

  • MLVector and MLMatrix now don't have generic type parameters

4.2.0 #

  • Static factories converted into abstract factories

4.1.0 #

  • toString method specified for matrix mixin
  • examples for vector operations fixed

4.0.0 #

  • Vector type removed (there are no longer column and row vectors)
  • Matrix's method getColumnVector renamed to getColumn
  • Matrix method getRowVector renamed to getRow
  • Public api documentation for MLMatrix<E> added

3.5.0 #

  • Mutable vectors supported in matrix

3.4.0 #

  • Add possibility to create mutable vectors
  • Add support for value assignment via []= operator

3.0.3 #

  • readme contacts section updated
  • build_runner dependency updated

3.0.2 #

  • readme badge corrected

3.0.1 #

  • readme updated

3.0.0 #

  • vectorizedMap vector's method improved: batch boundary indexes may be passed into a mapper function
  • columnsMap and rowsMap matrix's method combined into one method - vectorizedMap
  • Public factories Float32x4VectorFactory and Float32x4MatrixFactory renamed into Float32x4Vector and Float32x4Matrix
  • copy vector's method removed

2.3.0 #

  • pick method added to matrix api: it's possible now to combine a new matrix from different segments of a source matrix

2.2.2 #

  • README.md updated (table of content)

2.2.1 #

  • Travis integration added

2.2.0 #

  • Support matrices in vector operations

2.1.0 #

  • Column and row vectors added

2.0.0 #

  • Unnecessary generic type argument removed from MLMatrix class
  • Matrix logic split into separate mixins

1.3.0 #

  • MLVectorMixin added, benchmark directory reorganized

1.2.0 #

  • Map functions added to matrix

1.1.0 #

  • Float32x4MatrixFactory extended

1.0.1 #

  • Readme updated

1.0.0 #

  • Library public release

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SIMD-based linear algebra and statistics, efficient manipulation with numeric data

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