About: Tool aimed at helping remedy the reproducibility problem, specifically in the statistical and data wrangling aspects. Changes:Initial Announcement on mloss.org.
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About: A novel method to create parallel coordinates plots on large data sets without causing a "black screen" problem. Changes:Initial Announcement on mloss.org.
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About: Classification, Regression and Feature Evaluation Changes:Fetched by r-cran-robot on 2018-01-01 00:00:07.164852
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About: A generalized version of spectral clustering using the graph p-Laplacian. Changes:various internal optimizations
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About: Easy differential privacy Changes:Initial Announcement on mloss.org.
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About: Extending Lasso Model Fitting to Big Data Changes:Fetched by r-cran-robot on 2018-09-01 00:00:04.365069
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About: A native Python, scikit-compatible, implementation of a variety of multi-label classification algorithms. Changes:
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About: NaN-toolbox is a statistics and machine learning toolbox for handling data with and without missing values. Changes:Changes in v.3.1.2 - improve configuration and build system - support of more platforms (including Octave 4.2.0) improved Changes in v.3.0.3 - improve compatibility for Octave on Windows Changes in v.3.0.1 - fix packaging for octave Changes in v.2.8.5 - bug fix: trimmean - compiler support for gcc-5 and clang - fix typos For details see the CHANGELOG at http://pub.ist.ac.at/~schloegl/matlab/NaN/CHANGELOG
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About: Toolkit for parametric and nonparametric regression and classification. Changes:Initial Announcement on mloss.org.
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About: Novel R toolbox for collaborative filtering recommender systems. Changes:Initial Announcement on mloss.org.
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About: Scalable learning of global, multi-task and local metrics from data Changes:Minor bug fix in multi-task objective computation (thanks to Junjie Hu).
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About: Package for Deep Architectures and Restricted Boltzmann Machines Changes:Fetched by r-cran-robot on 2018-01-01 00:00:07.467914
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About: The GPstuff toolbox is a versatile collection of Gaussian process models and computational tools required for inference. The tools include, among others, various inference methods, sparse approximations and model assessment methods. Changes:2016-06-09 Version 4.7 Development and release branches available at https://github.com/gpstuff-dev/gpstuff New features
Improvements
Bugfixes
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About: Automatically finds the best model with its best parameter settings for a given classification or regression task. Changes:Initial Announcement on mloss.org.
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About: machine learning library in java for easy development of new kernels and kernel algorithms Changes:Version 3.0 /! Warning: this version is incompatible with previous code
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About: Learning Discrete Bayesian Network Classifiers from Data Changes:Fetched by r-cran-robot on 2016-05-01 00:00:04.546512
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About: Python toolbox for manifold optimization with support for automatic differentiation Changes:Initial Announcement on mloss.org.
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About: Jatecs is an open source Java library focused on automatic text categorization. Changes:Initial Announcement on mloss.org.
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About: Local high-order regularization for semi-supervised learning Changes:Initial Announcement on mloss.org.
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About: Bayesian Additive Regression Trees Changes:Fetched by r-cran-robot on 2018-09-01 00:00:04.269138
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