Download JAR files tagged by calculation with all dependencies
com.ibm.batch-tck from group com.ibm.batch (version 1.0-b05)
0 downloads
Artifact com.ibm.batch-tck
Group com.ibm.batch
Version 1.0-b05
Last update 15. February 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 10
Dependencies testng, com.ibm.batch-tck-spi, javax.batch-annotation, com.ibm.batch-model, javax.batch-api, com.ibm.batch-runtime, javax.inject-tck, derby, derbynet, xmlunit,
There are maybe transitive dependencies!
Group com.ibm.batch
Version 1.0-b05
Last update 15. February 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 10
Dependencies testng, com.ibm.batch-tck-spi, javax.batch-annotation, com.ibm.batch-model, javax.batch-api, com.ibm.batch-runtime, javax.inject-tck, derby, derbynet, xmlunit,
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com.ibm.batch-runtime from group com.ibm.batch (version 1.0-b06)
Group: com.ibm.batch Artifact: com.ibm.batch-runtime
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7 downloads
Artifact com.ibm.batch-runtime
Group com.ibm.batch
Version 1.0-b06
Last update 15. February 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 4
Dependencies javax.batch-annotation, com.ibm.batch-model, javax.batch-api, com.ibm.batch-tck-spi,
There are maybe transitive dependencies!
Group com.ibm.batch
Version 1.0-b06
Last update 15. February 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 4
Dependencies javax.batch-annotation, com.ibm.batch-model, javax.batch-api, com.ibm.batch-tck-spi,
There are maybe transitive dependencies!
com.ibm.batch-tck-spi from group com.ibm.batch (version 1.0-b05)
Group: com.ibm.batch Artifact: com.ibm.batch-tck-spi
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0 downloads
Artifact com.ibm.batch-tck-spi
Group com.ibm.batch
Version 1.0-b05
Last update 15. February 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 1
Dependencies javax.batch-api,
There are maybe transitive dependencies!
Group com.ibm.batch
Version 1.0-b05
Last update 15. February 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 1
Dependencies javax.batch-api,
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com.ibm.batch-model from group com.ibm.batch (version 1.0-b05)
0 downloads
Artifact com.ibm.batch-model
Group com.ibm.batch
Version 1.0-b05
Last update 15. February 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 0
Dependencies No dependencies
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Group com.ibm.batch
Version 1.0-b05
Last update 15. February 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 0
Dependencies No dependencies
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com.ibm.batch-cdi-integration from group com.ibm.batch (version 1.0-b04)
Group: com.ibm.batch Artifact: com.ibm.batch-cdi-integration
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Artifact com.ibm.batch-cdi-integration
Group com.ibm.batch
Version 1.0-b04
Last update 31. January 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 3
Dependencies com.ibm.batch-runtime, javax.batch-annotation, javax.batch-api,
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Group com.ibm.batch
Version 1.0-b04
Last update 31. January 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 3
Dependencies com.ibm.batch-runtime, javax.batch-annotation, javax.batch-api,
There are maybe transitive dependencies!
com.ibm.batch-annotation-processors from group com.ibm.batch (version 1.0-b03)
Group: com.ibm.batch Artifact: com.ibm.batch-annotation-processors
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Artifact com.ibm.batch-annotation-processors
Group com.ibm.batch
Version 1.0-b03
Last update 11. January 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 1
Dependencies javax.batch-annotation,
There are maybe transitive dependencies!
Group com.ibm.batch
Version 1.0-b03
Last update 11. January 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 1
Dependencies javax.batch-annotation,
There are maybe transitive dependencies!
intelligentgraph from group com.inova8 (version 0.9.4)
The IntelligentGraph SAIL offers an extended capability for embedded calculation support within any RDF graph. When enabled as an RDF4J SAIL, it offers calculation functionality as part of the RDF4J engine, on top of any RDF4J repository, using a variety of script engines including JavaScript, Jython, and Groovy. It preserves the SPARQL capability of RDF4J, but with additional capabilities for calculation debugging and tracing.
IntelligentGraph includes the PathQL query language. Just as a spreadsheet cell calculation needs to access other cells, an IntelligentGraph calculation needs to access other nodes within the graph. Although full access to the underlying graph is available to any of the scripts, PathQL provides a succinct, and efficient method to access directly or indirectly related nodes. PathQL can either return just the contents of the referenced nodes, or the contents and the path to the referenced nodes.
PathQL can also be used standalone to query the IntelligentGraph-enabled RDF database. This supplements, rather than replaces, SPARQL and GraphQL, as it provides graph-path querying rather than graph-pattern querying capabilities to any IntelligentGraph-enabled RDF database.
The principles of IntelligentGraph are described here: https://inova8.com/bg_inova8.com/intelligent-graph-knowledge-graph-embedded-analysis/
The full PathQL syntax is described here: https://inova8.com/bg_inova8.com/pathpatternql-intelligently-finding-knowledge-as-a-path-through-a-maze-of-facts/
Using Jupyter as an IDE to IntelligentGraph and RDF4J, shown here: https://inova8.com/bg_inova8.com/intelligentgraph-getting-started/
IntelligentGraph source is here in GitHub: https://github.com/peterjohnlawrence/com.inova8.intelligentgraph
IntelligentGraph Docker containers are available here: https://hub.docker.com/repository/docker/inova8/intelligentgraph
0 downloads
Artifact intelligentgraph
Group com.inova8
Version 0.9.4
Last update 26. April 2022
Organization inova8
URL https://www.inova8.com
License The Apache License, Version 2.0
Dependencies amount 6
Dependencies commons-cli, rdf4j-runtime, antlr4-runtime, seeq-sdk, jcl-over-slf4j, jericho-html,
There are maybe transitive dependencies!
Group com.inova8
Version 0.9.4
Last update 26. April 2022
Organization inova8
URL https://www.inova8.com
License The Apache License, Version 2.0
Dependencies amount 6
Dependencies commons-cli, rdf4j-runtime, antlr4-runtime, seeq-sdk, jcl-over-slf4j, jericho-html,
There are maybe transitive dependencies!
jung-parent from group io.github.devlibx.jung (version 3.1)
JUNG the Java Universal Network/Graph Framework--is a software
library that provides a common and extensible language for the
modeling, analysis, and visualization of data that can be
represented as a graph or network. It is written in Java, which
allows JUNG-based applications to make use of the extensive
built-in capabilities of the Java API, as well as those of other
existing third-party Java libraries. The JUNG architecture is
designed to support a variety of representations of entities and
their relations, such as directed and undirected graphs,
multi-modal graphs, graphs with parallel edges, and hypergraphs.
It provides a mechanism for annotating graphs, entities, and
relations with metadata. This facilitates the creation of
analytic tools for complex data sets that can examine the
relations between entities as well as the metadata attached to
each entity and relation. The current distribution of JUNG
includes implementations of a number of algorithms from graph
theory, data mining, and social network analysis, such as
routines for clustering, decomposition, optimization, random
graph generation, statistical analysis, and calculation of
network distances, flows, and importance measures (centrality,
PageRank, HITS, etc.). JUNG also provides a visualization
framework that makes it easy to construct tools for the
interactive exploration of network data. Users can use one of
the layout algorithms provided, or use the framework to create
their own custom layouts. In addition, filtering mechanisms are
provided which allow users to focus their attention, or their
algorithms, on specific portions of the graph.
Group: io.github.devlibx.jung Artifact: jung-parent
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Artifact jung-parent
Group io.github.devlibx.jung
Version 3.1
Last update 22. April 2021
Organization not specified
URL http://devlibx.github.io/jung/
License The BSD License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group io.github.devlibx.jung
Version 3.1
Last update 22. April 2021
Organization not specified
URL http://devlibx.github.io/jung/
License The BSD License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
jung-parent from group com.northdata.jung (version 2.2.0)
JUNG the Java Universal Network/Graph Framework--is a software
library that provides a common and extendible language for the
modeling, analysis, and visualization of data that can be
represented as a graph or network. It is written in Java, which
allows JUNG-based applications to make use of the extensive
built-in capabilities of the Java API, as well as those of other
existing third-party Java libraries. The JUNG architecture is
designed to support a variety of representations of entities and
their relations, such as directed and undirected graphs,
multi-modal graphs, graphs with parallel edges, and hypergraphs.
It provides a mechanism for annotating graphs, entities, and
relations with metadata. This facilitates the creation of
analytic tools for complex data sets that can examine the
relations between entities as well as the metadata attached to
each entity and relation. The current distribution of JUNG
includes implementations of a number of algorithms from graph
theory, data mining, and social network analysis, such as
routines for clustering, decomposition, optimization, random
graph generation, statistical analysis, and calculation of
network distances, flows, and importance measures (centrality,
PageRank, HITS, etc.). JUNG also provides a visualization
framework that makes it easy to construct tools for the
interactive exploration of network data. Users can use one of
the layout algorithms provided, or use the framework to create
their own custom layouts. In addition, filtering mechanisms are
provided which allow users to focus their attention, or their
algorithms, on specific portions of the graph.
Group: com.northdata.jung Artifact: jung-parent
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Artifact jung-parent
Group com.northdata.jung
Version 2.2.0
Last update 18. September 2020
Organization not specified
URL http://jrtom.github.io/jung/
License The BSD License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group com.northdata.jung
Version 2.2.0
Last update 18. September 2020
Organization not specified
URL http://jrtom.github.io/jung/
License The BSD License
Dependencies amount 0
Dependencies No dependencies
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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