BrightWire.Net4 2.1.1

Bright Wire is an open source machine learning library. Includes neural networks (feed forward, convolutional and recurrent), naive bayes, linear regression, decision trees, logistic regression, k-means clustering and dimensionality reduction.

Install-Package BrightWire.Net4 -Version 2.1.1
dotnet add package BrightWire.Net4 --version 2.1.1
<PackageReference Include="BrightWire.Net4" Version="2.1.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add BrightWire.Net4 --version 2.1.1
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Enhancements:

  • csv parser now parses numbers with commas
  • exposed data table adaptor base classes
  • exposed vectorisation model from default data table adaptor
  • added suport for boolean columns as binary vectorisation columns
  • weighted index list to index list conversion
  • added naive bayes training from data tables
  • added column constraints to data table analysis xml
  • vector distances refactor and performance improvements
  • added confusion matrix from data table
  • added reverse normalise and reverse vectorise for output columns from normalisation model
  • matrix columns/rows as vectors
  • batch normalisation
  • added output nodes and slots so that graphs can output multiple results

Bug Fixes:

  • fixed filter initialisation when dropout percentage is 0
  • bin overflow correction

Enhancements:

  • csv parser now parses numbers with commas
  • exposed data table adaptor base classes
  • exposed vectorisation model from default data table adaptor
  • added suport for boolean columns as binary vectorisation columns
  • weighted index list to index list conversion
  • added naive bayes training from data tables
  • added column constraints to data table analysis xml
  • vector distances refactor and performance improvements
  • added confusion matrix from data table
  • added reverse normalise and reverse vectorise for output columns from normalisation model
  • matrix columns/rows as vectors
  • batch normalisation
  • added output nodes and slots so that graphs can output multiple results

Bug Fixes:

  • fixed filter initialisation when dropout percentage is 0
  • bin overflow correction

This package is not used by any popular GitHub repositories.

Version History

Version Downloads Last updated
2.1.1 231 2/23/2019
2.1.0 275 9/30/2018
2.0.6 245 7/27/2018
2.0.5 2,705 1/4/2018
2.0.4 463 9/23/2017
2.0.3 5,459 8/18/2017
2.0.2 546 6/21/2017
2.0.1 329 6/19/2017
2.0.0 267 6/7/2017
1.1.6 410 3/10/2017
1.1.5 271 3/3/2017
1.1.4 408 1/24/2017
1.1.3 313 1/19/2017
1.1.2 314 1/12/2017
1.1.1 347 12/8/2016
1.1.0 307 11/7/2016
1.0.8 281 10/31/2016
1.0.7 344 10/27/2016
1.0.5 308 10/25/2016
1.0.4 288 10/21/2016
1.0.3 297 10/18/2016
1.0.2 286 10/17/2016
1.0.1 294 10/14/2016
1.0.0 296 10/12/2016