mltool 0.2.0.0 → 0.2.0.1
raw patch · 2 files changed
+13/−13 lines, 2 filesPVP ok
version bump matches the API change (PVP)
API changes (from Hackage documentation)
Files
- README.md +10/−10
- mltool.cabal +3/−3
README.md view
@@ -1,8 +1,8 @@ ## Machine Learning Toolbox -[](https://travis-ci.org/Alexander-Ignatyev/mltool)-[](https://coveralls.io/github/Alexander-Ignatyev/mltool)-[](https://alexander-ignatyev.github.io/mltool-docs/doc/index.html)+[](https://travis-ci.org/aligusnet/mltool)+[](https://coveralls.io/github/aligusnet/mltool)+[](https://aligusnet.github.io/mltool-docs/doc/index.html) [](https://hackage.haskell.org/package/mltool) ### Supported Methods and Problems@@ -84,16 +84,16 @@ ### Examples -* Linear Regression: [source code](https://github.com/Alexander-Ignatyev/mltool/blob/master/examples/linear_regression/Main.hs);+* Linear Regression: [source code](https://github.com/aligusnet/mltool/blob/master/examples/linear_regression/Main.hs); -* Logistic Regression: [source code](https://github.com/Alexander-Ignatyev/mltool/blob/master/examples/logistic_regression/Main.hs);+* Logistic Regression: [source code](https://github.com/aligusnet/mltool/blob/master/examples/logistic_regression/Main.hs); -* Multiclass Logistic Regression: [source code](https://github.com/Alexander-Ignatyev/mltool/blob/master/examples/digits_classification/Main.hs);+* Multiclass Logistic Regression: [source code](https://github.com/aligusnet/mltool/blob/master/examples/digits_classification/Main.hs); -* Multiclass Logistic Regression with PCA: [source code](https://github.com/Alexander-Ignatyev/mltool/blob/master/examples/digits_classification_pca/Main.hs);+* Multiclass Logistic Regression with PCA: [source code](https://github.com/aligusnet/mltool/blob/master/examples/digits_classification_pca/Main.hs); -* Multiclass Support Vector Machine: [source code](https://github.com/Alexander-Ignatyev/mltool/blob/master/examples/digits_classification_svm/Main.hs);+* Multiclass Support Vector Machine: [source code](https://github.com/aligusnet/mltool/blob/master/examples/digits_classification_svm/Main.hs); -* Neural Networks: [source code](https://github.com/Alexander-Ignatyev/mltool/blob/master/examples/neural_networks/Main.hs);+* Neural Networks: [source code](https://github.com/aligusnet/mltool/blob/master/examples/neural_networks/Main.hs); -* K-Means: [source code](https://github.com/Alexander-Ignatyev/mltool/blob/master/examples/kmeans/Main.hs).+* K-Means: [source code](https://github.com/aligusnet/mltool/blob/master/examples/kmeans/Main.hs).
mltool.cabal view
@@ -1,5 +1,5 @@ name: mltool-version: 0.2.0.0+version: 0.2.0.1 synopsis: Machine Learning Toolbox description: Haskell Machine Learning Toolkit@@ -7,7 +7,7 @@ linear regression, logistic regression, SVN, neural networks, etc. as well as some methods of unsupervised methods: K-Means and PCA. -homepage: https://github.com/alexander-ignatyev/mltool+homepage: https://github.com/aligusnet/mltool license: BSD3 license-file: LICENSE author: Alexander Ignatyev@@ -105,4 +105,4 @@ source-repository head type: git- location: https://github.com/alexander-ignatyev/mltool+ location: https://github.com/aligusnet/mltool.git