About: Easy differential privacy

Initial Announcement on mloss.org.

About: MLweb is an open source project that aims at bringing machine learning capabilities into web pages and web applications, while maintaining all computations on the client side. It includes (i) a javascript library to enable scientific computing within web pages, (ii) a javascript library implementing machine learning algorithms for classification, regression, clustering and dimensionality reduction, (iii) a web application providing a matlab-like development environment.

• Faster LeastSquares and RidgeRegression with conjugate gradient method
• LeastSquares now works also with sparse X
• Faster thin SVD for tall matrices
• Fix load data file in LALOLab
• Add examples in LALOLab

About: Effect Displays for Linear, Generalized Linear, and Other Models

Fetched by r-cran-robot on 2017-09-01 00:00:05.390320

About: Somoclu is a massively parallel implementation of self-organizing maps. It relies on OpenMP for multicore execution, MPI for distributing the workload, and it can be accelerated by CUDA on a GPU cluster. A sparse kernel is also included, which is useful for training maps on vector spaces generated in text mining processes. Apart from a command line interface, Python, Julia, R, and MATLAB are supported.

• New: Verbosity parameter in the command-line, Python, MATLAB, and Julia interfaces.
• Changed: Calculation of U-matrix parallelized.
• Changed: Moved feeding data to train method in the Python interface.
• Fixed: The random seed was set to 0 for testing purposes. This is now changed to a wall-time based initialization.
• Fixed: Sparse matrix reader made more robust.
• Fixed: Compatibility with kohonen 3 resolved.
• Fixed: Compatibility with Matplotlib 2 resolved.

About: glyph is a python 3 library based on deap providing abstraction layers for symbolic regression problems.

Initial Announcement on mloss.org.

About: Extending Lasso Model Fitting to Big Data

Fetched by r-cran-robot on 2017-09-01 00:00:03.500504

About: Large scale, distributed graph processing made easy.

Graph partitioning methods APSP approximation method Performance improvements License change Bug fixes

About: A Matlab benchmarking toolbox for online and adaptive regression with kernels.

• Changes in algorithms' Matlab class format
• New algorithms
• Minor improvements and bug fixes

About: deep learning toolkit in R

Fetched by r-cran-robot on 2017-09-01 00:00:05.157429

About: Classification and Regression Training

Fetched by r-cran-robot on 2017-09-01 00:00:04.164307