ml_linalg 12.17.6

SIMD-based linear algebra and statistics for data science

Changelog

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