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
Dependencies
-
- MathNet.Numerics (>= 4.7.0)
- protobuf-net (>= 2.4.0)
- System.ValueTuple (>= 4.5.0)
GitHub Usage
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 |