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swh:1:snp:f62255b7942922f50600573bb0f3e271df0d7d55
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  • qmak.config
Raw File Download

To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
Select below a type of object currently browsed in order to display its associated SWHID and permalink.

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content badge Iframe embedding
swh:1:cnt:943a73d291e17f57241b41a9fc38e1ec4a4d52d6
directory badge Iframe embedding
swh:1:dir:726a50480fcb1d57ebb21131ac76d6c4c17b3f21
revision badge
swh:1:rev:9ff75ceedbc8dead313b15ec3bd91ce70b0a5cc9
snapshot badge
swh:1:snp:f62255b7942922f50600573bb0f3e271df0d7d55

This interface enables to generate software citations, provided that the root directory of browsed objects contains a citation.cff or codemeta.json file.
Select below a type of object currently browsed in order to generate citations for them.

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Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
Tip revision: 9ff75ceedbc8dead313b15ec3bd91ce70b0a5cc9 authored by awojna on 25 June 2019, 10:15:55 UTC
Version changed to 3.2.2
Tip revision: 9ff75ce
qmak.config
classifier1=rseslib.processing.classification.tree.c45.C45Vis
classifier2=rseslib.processing.classification.rules.AQ15Classifier
classifier3=rseslib.processing.classification.rules.roughset.VisualRoughSetClassifier
classifier4=rseslib.processing.classification.neural.VisualNeuronNetwork
classifier5=rseslib.processing.classification.parameterised.knn.KnnVis
classifier6=rseslib.processing.classification.parameterised.knn.LocalKnnClassifier
classifier7=rseslib.processing.classification.bayes.NaiveBayesClassifier
classifier8=rseslib.processing.classification.svm.SVM
classifier9=rseslib.processing.classification.parameterised.pca.PcaClassifierVis
classifier10=rseslib.processing.classification.parameterised.pca.LocalPcaClassifier

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