ganDataModel

Build a Metric Subspaces Data Model for a Data Source

CRAN Package

Neural networks are applied to create a density value function which approximates density values for a data source. The trained neural network is analyzed for different levels. For each level metric subspaces with density values above a level are determined. The obtained set of metric subspaces and the trained neural network are assembled into a data model. A prerequisite is the definition of a data source, the generation of generative data and the calculation of density values. These tasks are executed using package 'ganGenerativeData' [https://cran.r-project.org/package=ganGenerativeData].


Team


Insights

Last 30 days

This package has been downloaded 311 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 times.

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0 downloadsFeb 9, 2025
0 downloadsFeb 10, 2025
0 downloadsFeb 11, 2025
30 downloadsFeb 12, 2025
18 downloadsFeb 13, 2025
6 downloadsFeb 14, 2025
10 downloadsFeb 15, 2025
4 downloadsFeb 16, 2025
17 downloadsFeb 17, 2025
7 downloadsFeb 18, 2025
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31 downloadsFeb 20, 2025
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12 downloadsFeb 23, 2025
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7 downloadsFeb 28, 2025
8 downloadsMar 1, 2025
3 downloadsMar 2, 2025
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17 downloadsMar 4, 2025
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11 downloadsMar 11, 2025
9 downloadsMar 12, 2025
8 downloadsMar 13, 2025
0 downloadsMar 14, 2025
0 downloadsMar 15, 2025
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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 3,441 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 24, 2024 with 38 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports2 packages
  • Linking To1 package