RSS Feed - Blog
About: R package facilitating the simulation and evaluation of context-free and contextual Multi-Armed Bandit policies. Changes:Minor update.
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About: Wrapper Algorithm for All Relevant Feature Selection Changes:Fetched by r-cran-robot on 2018-09-01 00:00:04.516878
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About: Bayesian Additive Regression Trees Changes:Fetched by r-cran-robot on 2018-09-01 00:00:03.597464
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About: Gradient Boosting Changes:Fetched by r-cran-robot on 2018-09-01 00:00:05.199020
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About: A header-only C++ library for solving large scale eigenvalue problems Changes:
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About: Bayesian Additive Regression Trees Changes:Fetched by r-cran-robot on 2018-09-01 00:00:04.021726
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About: A fast and scalable graph-based clustering algorithm based on the eigenvectors of the nonlinear 1-Laplacian. Changes:
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About: Mining Association Rules and Frequent Itemsets Changes:Fetched by r-cran-robot on 2018-09-01 00:00:03.513366
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About: Python module for machine learning multivariate time series Changes:Initial Announcement on mloss.org.
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About: A thin Python3 wrapper that uses the javabridge Python library to communicate with a Java Virtual Machine executing Weka API calls. Changes:
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About: A thin Python wrapper that uses the javabridge Python library to communicate with a Java Virtual Machine executing Weka API calls. Changes:
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About: ruptures is a Python library for off-line change point detection. This package provides methods for the analysis and segmentation of non-stationary signals. Implemented algorithms include exact and approximate detection for various parametric and non-parametric models. ruptures focuses on ease of use by providing a well-documented and consistent interface. In addition, thanks to its modular structure, different algorithms and models can be connected and extended within this package. Changes:Initial Announcement on mloss.org.
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About: Cox models by likelihood based boosting for a single survival endpoint or competing risks Changes:Fetched by r-cran-robot on 2018-01-01 00:00:07.280476
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About: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly Changes:Fetched by r-cran-robot on 2018-01-01 00:00:07.696284
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About: Classification and Regression Training Changes:Fetched by r-cran-robot on 2018-01-01 00:00:05.042473
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About: pycobra is a python library for ensemble learning, which serves as a toolkit for regression, classification, and visualisation. It is scikit-learn compatible and fits into the existing scikit-learn ecosystem. Changes:pycobra is further pep8 compliant, has improved tests and more plotting options.
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About: The Advanced Data mining And Machine learning System (ADAMS) is a flexible workflow engine aimed at quickly building and maintaining data-driven, reactive workflows, easily integrated into business processes. Changes:Some highlights:
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About: The GPML toolbox is a flexible and generic Octave/Matlab implementation of inference and prediction with Gaussian process models. The toolbox offers exact inference, approximate inference for non-Gaussian likelihoods (Laplace's Method, Expectation Propagation, Variational Bayes) as well for large datasets (FITC, VFE, KISS-GP). A wide range of covariance, likelihood, mean and hyperprior functions allows to create very complex GP models. Changes:Logdet-estimation functionality for grid-based approximate covariances
More generic infEP functionality
New infKL function contributed by Emtiyaz Khan and Wu Lin
Time-series covariance functions on the positive real line
New covariance functions
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About: Effect Displays for Linear, Generalized Linear, and Other Models Changes:Fetched by r-cran-robot on 2018-01-01 00:00:07.810965
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About: A Java framework for statistical analysis and classification of biological sequences Changes:New classes and packages:
New features and improvements:
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