Download JAR files tagged by estimated with all dependencies
readingtime from group net.thauvin.erik (version 0.9.2)
Estimated Reading Time for Blog Posts, Articles, etc.
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Artifact readingtime
Group net.thauvin.erik
Version 0.9.2
Last update 26. November 2023
Organization not specified
URL https://github.com/ethauvin/readingtime
License BSD 3-Clause
Dependencies amount 4
Dependencies kotlin-stdlib, kotlin-stdlib-jdk7, kotlin-stdlib-jdk8, jsoup,
There are maybe transitive dependencies!
Group net.thauvin.erik
Version 0.9.2
Last update 26. November 2023
Organization not specified
URL https://github.com/ethauvin/readingtime
License BSD 3-Clause
Dependencies amount 4
Dependencies kotlin-stdlib, kotlin-stdlib-jdk7, kotlin-stdlib-jdk8, jsoup,
There are maybe transitive dependencies!
jcore-topic-indexing-ae from group de.julielab (version 2.6.1)
Labels LDA Topics estimated from project julielab-topic-modeling to infer document topics for PubMed
articles
Group: de.julielab Artifact: jcore-topic-indexing-ae
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Artifact jcore-topic-indexing-ae
Group de.julielab
Version 2.6.1
Last update 18. December 2022
Organization JULIE Lab Jena, Germany
URL https://github.com/JULIELab/jcore-base/tree/master/jcore-topic-labeling-ae
License BSD-2-Clause
Dependencies amount 9
Dependencies jcore-descriptor-creator, assertj-core, slf4j-api, jcore-types, commons-configuration2, uimaj-document-annotation, jcore-utilities, julielab-topic-modeling, junit-jupiter-engine,
There are maybe transitive dependencies!
Group de.julielab
Version 2.6.1
Last update 18. December 2022
Organization JULIE Lab Jena, Germany
URL https://github.com/JULIELab/jcore-base/tree/master/jcore-topic-labeling-ae
License BSD-2-Clause
Dependencies amount 9
Dependencies jcore-descriptor-creator, assertj-core, slf4j-api, jcore-types, commons-configuration2, uimaj-document-annotation, jcore-utilities, julielab-topic-modeling, junit-jupiter-engine,
There are maybe transitive dependencies!
SPegasos from group nz.ac.waikato.cms.weka (version 1.0.2)
Implements the stochastic variant of the Pegasos (Primal Estimated sub-GrAdient SOlver for SVM) method of Shalev-Shwartz et al. (2007). This implementation globally replaces all missing values and transforms nominal attributes into binary ones. It also normalizes all attributes, so the coefficients in the output are based on the normalized data. Can either minimize the hinge loss (SVM) or log loss (logistic regression). For more information, see
S. Shalev-Shwartz, Y. Singer, N. Srebro: Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. In: 24th International Conference on MachineLearning, 807-814, 2007.
1 downloads
Artifact SPegasos
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/SPegasos
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/SPegasos
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
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