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nostream from group com.github.michedev (version 1.1.0)
Extension of classic Java data structures that avoid the use of Stream abstraction in favour of direct list transformation methods
1 downloads
Artifact nostream
Group com.github.michedev
Version 1.1.0
Last update 04. January 2017
Organization not specified
URL https://github.com/Michedev/NOStream
License MTI License
Dependencies amount 1
Dependencies junit,
There are maybe transitive dependencies!
Group com.github.michedev
Version 1.1.0
Last update 04. January 2017
Organization not specified
URL https://github.com/Michedev/NOStream
License MTI License
Dependencies amount 1
Dependencies junit,
There are maybe transitive dependencies!
airline-help-ronn from group com.github.rvesse (version 2.1.1)
RONN format help generators. RONN is an enhanced version of Markdown that can be post-processed with the ronn tool to generate man pages or HTML pages. RONN has some bugs are is considered deprecated in favour of the airline-help-man module.
Group: com.github.rvesse Artifact: airline-help-ronn
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Show all versions Show documentation Show source
0 downloads
Artifact airline-help-ronn
Group com.github.rvesse
Version 2.1.1
Last update 19. January 2016
Organization not specified
URL Not specified
License not specified
Dependencies amount 1
Dependencies airline-help-man,
There are maybe transitive dependencies!
Group com.github.rvesse
Version 2.1.1
Last update 19. January 2016
Organization not specified
URL Not specified
License not specified
Dependencies amount 1
Dependencies airline-help-man,
There are maybe transitive dependencies!
oneClassClassifier from group nz.ac.waikato.cms.weka (version 1.0.4)
Performs one-class classification on a dataset.
Classifier reduces the class being classified to just a single class, and learns the datawithout using any information from other classes. The testing stage will classify as 'target'or 'outlier' - so in order to calculate the outlier pass rate the dataset must contain informationfrom more than one class.
Also, the output varies depending on whether the label 'outlier' exists in the instances usedto build the classifier. If so, then 'outlier' will be predicted, if not, then the label willbe considered missing when the prediction does not favour the target class. The 'outlier' classwill not be used to build the model if there are instances of this class in the dataset. It cansimply be used as a flag, you do not need to relabel any classes.
For more information, see:
Kathryn Hempstalk, Eibe Frank, Ian H. Witten: One-Class Classification by Combining Density and Class Probability Estimation. In: Proceedings of the 12th European Conference on Principles and Practice of Knowledge Discovery in Databases and 19th European Conference on Machine Learning, ECMLPKDD2008, Berlin, 505--519, 2008.
Group: nz.ac.waikato.cms.weka Artifact: oneClassClassifier
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Show all versions Show documentation Show source
3 downloads
Artifact oneClassClassifier
Group nz.ac.waikato.cms.weka
Version 1.0.4
Last update 14. May 2013
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/oneClassClassifier
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.4
Last update 14. May 2013
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/oneClassClassifier
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
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