ml_linalg 13.5.0 copy "ml_linalg: ^13.5.0" to clipboard
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SIMD-based linear algebra and statistics, efficient manipulation with numeric data

Use this package as a library

Depend on it

Run this command:

With Dart:

 $ dart pub add ml_linalg

This will add a line like this to your package's pubspec.yaml (and run an implicit dart pub get):

dependencies:
  ml_linalg: ^13.5.0

Alternatively, your editor might support dart pub get. Check the docs for your editor to learn more.

Import it

Now in your Dart code, you can use:

import 'package:ml_linalg/axis.dart';
import 'package:ml_linalg/decomposition.dart';
import 'package:ml_linalg/distance.dart';
import 'package:ml_linalg/distance_type_to_json.dart';
import 'package:ml_linalg/dtype.dart';
import 'package:ml_linalg/dtype_to_json.dart';
import 'package:ml_linalg/from_distance_type_json.dart';
import 'package:ml_linalg/from_dtype_json.dart';
import 'package:ml_linalg/from_matrix_json.dart';
import 'package:ml_linalg/from_vector_json.dart';
import 'package:ml_linalg/inverse.dart';
import 'package:ml_linalg/linalg.dart';
import 'package:ml_linalg/matrix.dart';
import 'package:ml_linalg/matrix_norm.dart';
import 'package:ml_linalg/matrix_to_json.dart';
import 'package:ml_linalg/norm.dart';
import 'package:ml_linalg/sort_direction.dart';
import 'package:ml_linalg/vector.dart';
import 'package:ml_linalg/vector_to_json.dart';
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verified publisherml-algo.com

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

Repository (GitHub)
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License

unknown (license)

Dependencies

quiver

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