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conjunctiveRule from group nz.ac.waikato.cms.weka (version 1.0.4)
This class implements a single conjunctive rule learner that can predict for numeric and nominal class labels.
A rule consists of antecedents "AND"ed together and the consequent (class value) for the classification/regression. In this case, the consequent is the distribution of the available classes (or mean for a numeric value) in the dataset. If the test instance is not covered by this rule, then it's predicted using the default class distributions/value of the data not covered by the rule in the training data.This learner selects an antecedent by computing the Information Gain of each antecendent and prunes the generated rule using Reduced Error Prunning (REP) or simple pre-pruning based on the number of antecedents.
For classification, the Information of one antecedent is the weighted average of the entropies of both the data covered and not covered by the rule.
For regression, the Information is the weighted average of the mean-squared errors of both the data covered and not covered by the rule.
In pruning, weighted average of the accuracy rates on the pruning data is used for classification while the weighted average of the mean-squared errors on the pruning data is used for regression.
Group: nz.ac.waikato.cms.weka Artifact: conjunctiveRule
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Artifact conjunctiveRule
Group nz.ac.waikato.cms.weka
Version 1.0.4
Last update 29. April 2014
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/conjunctiveRule
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 29. April 2014
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/conjunctiveRule
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
org.semanticweb.hermit from group com.hermit-reasoner (version 1.3.8.4)
HermiT is reasoner for ontologies written using the Web
Ontology Language (OWL). Given an OWL file, HermiT can determine whether or
not the ontology is consistent, identify subsumption relationships between
classes, and much more.
This is the maven build of HermiT and is designed for people who wish to use
HermiT from within the OWL API. It is now versioned in the main HermiT
version repository, although not officially supported by the HermiT
developers.
The version number of this package is a composite of the HermiT version and
an value representing releases of this packaged version. So, 1.3.7.1 is the
first release of the mavenized version of HermiT based on the 1.3.7 release
of HermiT.
This package includes the Jautomata library
(http://jautomata.sourceforge.net/), and builds with it directly. This
library appears to be no longer under active development, and so a "fork"
seems appropriate. No development is intended or anticipated on this code
base.
Group: com.hermit-reasoner Artifact: org.semanticweb.hermit
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10 downloads
Artifact org.semanticweb.hermit
Group com.hermit-reasoner
Version 1.3.8.4
Last update 24. January 2014
Organization not specified
URL http://hermit-reasoner.com/
License LGPL
Dependencies amount 7
Dependencies commons-logging, owlapi-distribution, axiom-api, axiom-c14n, axiom-impl, axiom-dom, automaton,
There are maybe transitive dependencies!
Group com.hermit-reasoner
Version 1.3.8.4
Last update 24. January 2014
Organization not specified
URL http://hermit-reasoner.com/
License LGPL
Dependencies amount 7
Dependencies commons-logging, owlapi-distribution, axiom-api, axiom-c14n, axiom-impl, axiom-dom, automaton,
There are maybe transitive dependencies!
reco4j-core from group org.reco4j (version 0.5.0)
Reco4j is an open source project aims at developing a recommendation framework based on graph data sources. We choose graph databases for several reasons. They are NoSQL databases, so "schemaless". This means that it is possible to extend the basic data structure with intermediate information, i.e. similarity value between item and so on. Moreover, since every information is expressed with properties, nodes and relations, the recommendation process can be customized to work on every graph.
Reco4j can be used on every graph where "user" and "item" is represented by node and the preferences are modelled as relationship between them.
Current implementation leverage on Neo4j as first graph database integrated in our framework.
Artifact reco4j-core
Group org.reco4j
Version 0.5.0
Last update 22. September 2013
Organization not specified
URL http://www.reco4j.org
License GNU General Public License, Version 3
Dependencies amount 3
Dependencies log4j, mahout-core, commons-math3,
There are maybe transitive dependencies!
Group org.reco4j
Version 0.5.0
Last update 22. September 2013
Organization not specified
URL http://www.reco4j.org
License GNU General Public License, Version 3
Dependencies amount 3
Dependencies log4j, mahout-core, commons-math3,
There are maybe transitive dependencies!
kernelLogisticRegression from group nz.ac.waikato.cms.weka (version 1.0.0)
This package contains a classifier that can be used to train a two-class kernel logistic regression model with the kernel functions that are available in WEKA. It optimises the negative log-likelihood with a quadratic penalty. Both, BFGS and conjugate gradient descent, are available as optimisation methods, but the former is normally faster. It is possible to use multiple threads, but the speed-up is generally very marginal when used with BFGS optimisation. With conjugate gradient descent optimisation, greater speed-ups can be achieved when using multiple threads. With the default kernel, the dot product kernel, this method produces results that are close to identical to those obtained using standard logistic regression in WEKA, provided a sufficiently large value for the parameter determining the size of the quadratic penalty is used in both cases.
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Artifact kernelLogisticRegression
Group nz.ac.waikato.cms.weka
Version 1.0.0
Last update 26. June 2013
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/kernelLogisticRegression
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.0
Last update 26. June 2013
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/kernelLogisticRegression
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
file-piper from group net.sf.filepiper (version 1.2)
This project is a GUI utility for processing files. It allows selecting a set of source files and a pipeline
of processes to apply onto those files. The applications shows in a nice-looking user interface where you can
define profiles for your repetitive tasks.
It provides pre-defined processors doing usual file manipulation tasks like: Copy, Head, Tail, Chunk, Search, Replace, Zip, Unzip...
But the biggest value of this file processor tool is the ability to add easily custom file processors written in java.
0 downloads
Artifact file-piper
Group net.sf.filepiper
Version 1.2
Last update 17. June 2011
Organization not specified
URL http://file-piper.sourceforge.net
License Apache 2
Dependencies amount 5
Dependencies log4j, sfac-launcher, sfac-core, sfac-utils, itext,
There are maybe transitive dependencies!
Group net.sf.filepiper
Version 1.2
Last update 17. June 2011
Organization not specified
URL http://file-piper.sourceforge.net
License Apache 2
Dependencies amount 5
Dependencies log4j, sfac-launcher, sfac-core, sfac-utils, itext,
There are maybe transitive dependencies!
org.semanticweb.hermit from group net.sourceforge.owlapi (version 1.4.5.519)
HermiT is reasoner for ontologies written using the Web Ontology Language (OWL). Given an OWL file, HermiT can determine whether or not the ontology is consistent, identify subsumption relationships between classes, and much more.
This is the maven build of HermiT and is designed for people who wish to use HermiT from within the OWL API. It is now versioned in the main HermiT version repository, although not officially supported by the HermiT developers.
The version number of this package is a composite of the HermiT version and a value representing the OWLAPI release it is compatible with. Note that the group id for the upstream HermiT is com.hermit-reasoner, while this fork is released under net.sourceforge.owlapi.
This fork exists to allow HermiT users to use newer OWLAPI versions than the ones supported by the original HermiT codebase.
This package includes the Jautomata library (http://jautomata.sourceforge.net/), and builds with it directly. This library appears to be no longer under active development, and so a "fork" seems appropriate. No development is intended or anticipated on this code base.
Group: net.sourceforge.owlapi Artifact: org.semanticweb.hermit
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61 downloads
Artifact org.semanticweb.hermit
Group net.sourceforge.owlapi
Version 1.4.5.519
Last update 18. February 2020
Organization not specified
URL http://hermit-reasoner.com/
License LGPL
Dependencies amount 9
Dependencies commons-logging, owlapi-distribution, axiom-api, axiom-c14n, axiom-impl, axiom-dom, automaton, java-getopt, trove4j,
There are maybe transitive dependencies!
Group net.sourceforge.owlapi
Version 1.4.5.519
Last update 18. February 2020
Organization not specified
URL http://hermit-reasoner.com/
License LGPL
Dependencies amount 9
Dependencies commons-logging, owlapi-distribution, axiom-api, axiom-c14n, axiom-impl, axiom-dom, automaton, java-getopt, trove4j,
There are maybe transitive dependencies!
comparators from group de.cit-ec.tcs.alignment (version 3.1.1)
This module defines the interfaces for Comparators in the TCS Alignment Toolbox. A Comparator has
the purpose of defining the dissimilarity between elements in the input sequences of an
Alignment. More specific information on Comparators can be found in the 'Comparator' interface.
You can find a lot of helpful standard implementations of Comparators in the comparators-lib
module.
In the TCS Alignment Toolbox we require the output values of Comparators to lie in the range
[0,1]. Many natural dissimilarities on value sets do not meet this criterion, such that
additional normalization has to be applied. To that end this package also contains a Normalizer
interface for functions that map real values from the range [0, infinity) to the range [0,1].
This package also provides a few convenience implementations of the Comparator interface to make
the implementation of custom Comparators simpler, namely: SkipExtendedComparator,
ParameterLessSkipExtendedComparator, ComparisonBasedSkipExtendedComparator, and
ParameterLessComparisonBasedSkipExtendedComparator.
Finally the TCS Alignment Toolbox also provides the means to learn parameters of Comparators. To
enable that Comparators must implement the DerivableComparator interface to properly define the
parameters that can be learned and the gradient of the dissimilarity with respect to these
parameters. Gradients are stored using the Gradient interface as well as some convenience
implementations of said interface, namely EmptyGradient, SingletonGradient, ArrayGradient and
ListGradient.
Group: de.cit-ec.tcs.alignment Artifact: comparators
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Artifact comparators
Group de.cit-ec.tcs.alignment
Version 3.1.1
Last update 26. October 2018
Organization not specified
URL http://openresearch.cit-ec.de/projects/tcs
License The GNU Affero General Public License, Version 3
Dependencies amount 1
Dependencies lombok,
There are maybe transitive dependencies!
Group de.cit-ec.tcs.alignment
Version 3.1.1
Last update 26. October 2018
Organization not specified
URL http://openresearch.cit-ec.de/projects/tcs
License The GNU Affero General Public License, Version 3
Dependencies amount 1
Dependencies lombok,
There are maybe transitive dependencies!
HermiT from group com.github.ansell.hermit (version 1.3.8.2-ansell)
HermiT is reasoner for ontologies written using the Web
Ontology Language (OWL). Given an OWL file, HermiT can determine whether or
not the ontology is consistent, identify subsumption relationships between
classes, and much more.
This is the maven build of HermiT and is designed for people who wish to use
HermiT from within the OWL API. It is not officially supported by the HermiT
development team, but was built initially for use with the Clojure-OWL
library. It is built using the HermiT source tree without modification.
There have been some additions to the test source tree to account for
differences between the maven and ant environment; these are small and
(hopefully) maintainable.
The version number of this package is a composite of the HermiT version and
an value representing releases of this packaged version. So, 1.3.7.1 is the
first release of the mavenized version of HermiT based on the 1.3.7 release
of HermiT.
This package includes the Jautomata library
(http://jautomata.sourceforge.net/), and builds with it directly. This
library appears to be no longer under active development, and so a "fork"
seems appropriate. No development is intended or anticipated on this code
base.
Artifact HermiT
Group com.github.ansell.hermit
Version 1.3.8.2-ansell
Last update 03. September 2013
Organization not specified
URL http://hermit-reasoner.com/
License LGPL
Dependencies amount 12
Dependencies owlapi-api, owlapi-impl, owlapi-parsers, owlapi-rio, sesame-rio-turtle, sesame-rio-ntriples, sesame-rio-rdfxml, axiom-api, axiom-c14n, axiom-impl, axiom-dom, automaton,
There are maybe transitive dependencies!
Group com.github.ansell.hermit
Version 1.3.8.2-ansell
Last update 03. September 2013
Organization not specified
URL http://hermit-reasoner.com/
License LGPL
Dependencies amount 12
Dependencies owlapi-api, owlapi-impl, owlapi-parsers, owlapi-rio, sesame-rio-turtle, sesame-rio-ntriples, sesame-rio-rdfxml, axiom-api, axiom-c14n, axiom-impl, axiom-dom, automaton,
There are maybe transitive dependencies!
netbeans-color-codes-preview from group com.junichi11.netbeans.modules (version 0.13.4)
Show color codes preview per line in a sidebar area of an editor.
<h2>Disable / Enable</h2>
Check/Uncheck View > Show Colors
<h2>Supported color patterns</h2>
<ul>
<li>Hex color code (e.g. #ffffff, #000)</li>
<li>Css rgb/rgba values (e.g. rgb(0,0,0), rgba(255, 255, 255, 0.8))</li>
<li>Css hsl/hsla values (e.g. hsl(0, 100%, 50%), hsla(120, 100%, 50%, 0.5))</li>
<li>Named colors (e.g. red, blue)</li>
<li>Java Color class (e.g. Color.black, new Color(100, 100, 100))</li>
</ul>
<h2>Multiple colors</h2>
<ul>
<li>Show top two colors in a sidebar if there are multiple colors in a line.</li>
<li>If you want to check all colors, please click a specific rectangle. They will be shown as a list.</li>
</ul>
<h2>Change a color using the color chooser</h2>
<ul>
<li>Click a colored rectangle</li>
<li>Click a color value of a list</li>
<li>Select a new color in the color chooser</li>
<li>An old color value will be changed to new one with the same format</li>
</ul>
<h2>Generate color codes</h2><p>You can generate color codes via a code generator(<kbd>Alt</kbd> + <kbd>Ins</kbd>).</p>
<ol>
<li>Run a code generator(Alt + Ins)</li>
<li>Choose <code>Color...</code></li>
<li>Choose format you expect (e.g. <code>new Color(r, g, b)</code>)</li>
<li>Choose a color</li>
<li>Click the OK button</li>
<li>A color code is generated at the caret position</li>
</ol>
<h2>Options</h2>
Tools > Options > Miscellaneous > Color Codes Preview
<h3>Regex for enabled mime-types for Hex and CSS colors</h3>
Default value is `^text/(x-)?(css|less|sass|scss)$`.
If you would like to disable/enable some mime-types, please change the default regex.
This pattern is used when the plugin checks a mime-type.
<h3>Named Colors</h3>
This option is `false` by default. If you would like to show named colors, please check it.
<h2>NOTE</h2>
<ul>
<li>If you would like to show colors of `Color.decode(<hex>)` e.g. `Color.decode(#000000)`, Please add `java` to "Regex for enabled mime-types" of Hex and CSS e.g. (`^text/(x-)?(css|less|sass|scss|java)$`)</li>
<li>Colors may be shown if they are not color codes. e.g. "#feature" contains #fea. This plugin recognizes it as a hex color code.</li>
<li>If you use the GTK Look and Feel, you cannot change an alpha value in the color chooser.</li>
<li>Hsl or hsla color values may not be changed correctly when you use the color chooser. (There may be 1% errors.)</li>
</ul>
0 downloads
Artifact netbeans-color-codes-preview
Group com.junichi11.netbeans.modules
Version 0.13.4
Last update 10. October 2021
Organization not specified
URL https://github.com/junichi11/netbeans-color-codes-preview
License Apache License, Version 2.0
Dependencies amount 16
Dependencies org-netbeans-api-annotations-common, org-netbeans-modules-editor-lib2, org-netbeans-modules-editor-lib, org-openide-util, org-openide-util-ui, org-netbeans-modules-editor-mimelookup, org-openide-util-lookup, org-netbeans-modules-editor-settings, org-netbeans-modules-editor, org-openide-dialogs, org-netbeans-modules-editor-fold, org-openide-text, org-netbeans-modules-options-api, org-openide-awt, org-netbeans-modules-editor-document, org-openide-modules,
There are maybe transitive dependencies!
Group com.junichi11.netbeans.modules
Version 0.13.4
Last update 10. October 2021
Organization not specified
URL https://github.com/junichi11/netbeans-color-codes-preview
License Apache License, Version 2.0
Dependencies amount 16
Dependencies org-netbeans-api-annotations-common, org-netbeans-modules-editor-lib2, org-netbeans-modules-editor-lib, org-openide-util, org-openide-util-ui, org-netbeans-modules-editor-mimelookup, org-openide-util-lookup, org-netbeans-modules-editor-settings, org-netbeans-modules-editor, org-openide-dialogs, org-netbeans-modules-editor-fold, org-openide-text, org-netbeans-modules-options-api, org-openide-awt, org-netbeans-modules-editor-document, org-openide-modules,
There are maybe transitive dependencies!
rng from group de.cit-ec.ml (version 1.0.0)
This is an implementation of the Neural Gas algorithm on
distance data (Relational Neural Gas) for unsupervised clustering.
We recommend that you use the functions provided by the RelationalNeuralGas
class for your purposes. All other classes and functions are utilities which
are used by this central class. In particular, you can use RelationalNeuralGas.train()
to obtain a RNGModel (i.e. a clustering of your data), and subsequently
you can use RelationalNeuralGas.getAssignments() to obtain the resulting
cluster assignments, and RelationalNeuralGas.classify() to cluster new points
which are not part of the training data set.
The underlying scientific work is summarized nicely in the dissertation
"Topographic Mapping of Dissimilarity Datasets" by Alexander Hasenfuss
(2009).
The basic properties of an Relational Neural Gas algorithm are the following:
1.) It is relational: The data is represented only in terms of a pairwise
distance matrix.
2.) It is a clustering method: The algorithm provides a clustering model,
that is: After calculation,
each data point should be assigned to a cluster (for this package here we
only consider hard clustering, that is: each data point is assigned to
exactly one cluster).
3.) It is a vector quantization method: Each cluster corresponds to a
prototype, which is in the center of the
cluster and data points are assigned to the cluster if and only if they are
closest to this particular prototype.
4.) It is rank-based: The updates of the prototypes depend only on
the distance ranking, not on the absolute value of the distances.
Artifact rng
Group de.cit-ec.ml
Version 1.0.0
Last update 26. January 2018
Organization not specified
URL https://gitlab.ub.uni-bielefeld.de/bpaassen/relational_neural_gas
License The GNU General Public License, Version 3
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group de.cit-ec.ml
Version 1.0.0
Last update 26. January 2018
Organization not specified
URL https://gitlab.ub.uni-bielefeld.de/bpaassen/relational_neural_gas
License The GNU General Public License, Version 3
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
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