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Showing Items 1-10 of 537 on page 1 of 54: 1 2 3 4 5 6 Next Last

Logo XGBoost v0.3.0

by crowwork - September 2, 2014, 02:43:31 CET [ Project Homepage BibTeX Download ] 1860 views, 308 downloads, 1 subscription

About: xgboost: eXtreme Gradient Boosting It is an efficient and scalable implementation of gradient boosting framework. The package includes efficient linear model solver and tree learning algorithm. The package can automatically do parallel computation with OpenMP, and it can be more than 10 times faster than existing gradient boosting packages such as gbm or sklearn.GBM . It supports various objective functions, including regression, classification and ranking. The package is made to be extensible, so that user are also allowed to define there own objectives easily.

Changes:

New features: - R support that is now on CRAN

  • Faster tree construction module

  • Support for boosting from initial predictions

  • Linear booster is now parallelized, using parallel coordinated descent.


Logo r-cran-CoxBoost 1.4

by r-cran-robot - September 1, 2014, 00:00:04 CET [ Project Homepage BibTeX Download ] 16199 views, 3278 downloads, 2 subscriptions

About: Cox models by likelihood based boosting for a single survival endpoint or competing risks

Changes:

Fetched by r-cran-robot on 2014-09-01 00:00:04.950391


Logo r-cran-Boruta 3.1.0

by r-cran-robot - September 1, 2014, 00:00:04 CET [ Project Homepage BibTeX Download ] 6281 views, 1350 downloads, 2 subscriptions

About: A wrapper algorithm for all-relevant feature selection

Changes:

Fetched by r-cran-robot on 2014-09-01 00:00:04.064276


Logo JMLR MLPACK 1.0.10

by rcurtin - August 29, 2014, 21:26:18 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 31403 views, 6282 downloads, 6 subscriptions

Rating Whole StarWhole StarWhole StarWhole Star1/2 Star
(based on 1 vote)

About: A scalable, fast C++ machine learning library, with emphasis on usability.

Changes:
  • Bugfix for NeighborSearch regression which caused very slow allknn/allkfn. Speeds are nwo restored to approximately 1.0.8 speeds, with significant improvement for the cover tree (#365).
  • Detect dependencies correctly when ARMA_USE_WRAPPER is not defined (i.e. libarmadillo.so does not exist).
  • Bugfix for compilation under Visual Studio (#366).

Logo python weka wrapper 0.1.10

by fracpete - August 29, 2014, 05:00:14 CET [ Project Homepage BibTeX Download ] 3200 views, 640 downloads, 2 subscriptions

About: A thin Python wrapper that uses the javabridge Python library to communicate with a Java Virtual Machine executing Weka API calls.

Changes:
  • fixed adding custom classpath using jvm.start(class_path=[...])

Logo JMLR dlib ml 18.10

by davis685 - August 29, 2014, 02:56:23 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 78773 views, 13667 downloads, 2 subscriptions

About: This project is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems.

Changes:

In addition to a number of usability improvements, this release adds an implementation of the recent paper "One Millisecond Face Alignment with an Ensemble of Regression Trees" by Vahid Kazemi and Josephine Sullivan. This includes tools for performing high quality face landmarking as well as tools for training new landmarking models. See the face_landmark_detection_ex.cpp and train_shape_predictor_ex.cpp example programs for an introduction.


Logo RLPy 1.3a

by bobklein2 - August 28, 2014, 14:34:35 CET [ Project Homepage BibTeX Download ] 1462 views, 327 downloads, 1 subscription

About: RLPy is a framework for performing reinforcement learning (RL) experiments in Python. RLPy provides a large library of agent and domain components, and a suite of tools to aid in experiments (parallelization, hyperparameter optimization, code profiling, and plotting).

Changes:
  • Fixed bug where results using same random seed were different with visualization turned on/off
  • Created RLPy package on pypi (Available at https://pypi.python.org/pypi/rlpy)
  • Switched from custom logger class to python default
  • Added unit tests
  • Code readability improvements (formatting, variable names/ordering)
  • Restructured TD Learning heirarchy
  • Updated tutorials

Logo Salad 0.5.0

by chwress - August 22, 2014, 17:54:56 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 3337 views, 613 downloads, 1 subscription

About: A Content Anomaly Detector based on n-Grams

Changes:

Lots and lots of cool new features and bugfixes ;)

  • Refinements to the user interface: This includes a progress indicator, colors, etc.
  • Determine the expected error (salad-inspect)
  • Enable the user to echo the used parametrization: salad [train|predict|inspect] --echo-params
  • Allow to set the input batch size as program argument: salad [train|predict|inspect] --batch-size
  • libsalad: The library allows to access salad's basic functions
  • Installers and precompiled binaries: Windows installer, Debian (ppa:chwress/salad) & RPM packages as well a generic linux installers.
  • Various minor bug fixes
  • Support for "length at end" zip files
  • Improve salad's usage in a 2-class setting: salad [train|predict|inspect] --input-filter

Logo r-cran-caret 6.0-35

by r-cran-robot - August 22, 2014, 00:00:00 CET [ Project Homepage BibTeX Download ] 52276 views, 11172 downloads, 1 subscription

About: Classification and Regression Training

Changes:

Fetched by r-cran-robot on 2014-09-01 00:00:04.268820


Logo Armadillo library 4.400

by cu24gjf - August 20, 2014, 10:15:37 CET [ Project Homepage BibTeX Download ] 41658 views, 9168 downloads, 3 subscriptions

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(based on 2 votes)

About: Armadillo is a template C++ linear algebra library aiming towards a good balance between speed and ease of use, with a function syntax similar to MATLAB. Matrix decompositions are provided through optional integration with LAPACK, or one of its high performance drop-in replacements (eg. Intel MKL, OpenBLAS).

Changes:
  • faster handling of aliasing by submatrix views
  • faster handling of subvectors by dot()
  • added clamp() for clamping values to be between lower and upper limits
  • expanded batch insertion constructors for sparse matrices to add values at repeated locations
  • added gmm_diag class for statistical modelling using Gaussian Mixture Models; includes multi-threaded implementation of k-means and Expectation-Maximisation algorithms

Showing Items 1-10 of 537 on page 1 of 54: 1 2 3 4 5 6 Next Last