kernel-package: Fast Kernel Approximations
In JSzitas/kernel: Fast Kernel Approximations
Description
Details
Author(s)
References
See Also
Examples
Description
Provides a fast, simple kernel approximation framework for
approximating shift invariant kernels. Supports Random Fourier,
as well as Structured approaches.
Details
The DESCRIPTION file: This package was not yet installed at build time.
Index: This package was not yet installed at build time.
This section should provide a more detailed overview of how to use the
package, including the most important functions.
Author(s)
Juraj Szitas
Maintainer: Juraj Szitas <JSzitas@users.noreply.github.com>
References
This optional section can contain literature or other references for
background information.
See Also
Optional links to other man pages
Examples
1
2
## Optional simple examples of the most important functions
## Use \dontrun{} around code to be shown but not executed
JSzitas/kernel documentation built on Jan. 20, 2020, 2:01 a.m.
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Description Details Author(s) References See Also Examples
Description
Provides a fast, simple kernel approximation framework for approximating shift invariant kernels. Supports Random Fourier, as well as Structured approaches.
Details
The DESCRIPTION file: This package was not yet installed at build time.
Index: This package was not yet installed at build time.
This section should provide a more detailed overview of how to use the package, including the most important functions.
Author(s)
Juraj Szitas
Maintainer: Juraj Szitas <JSzitas@users.noreply.github.com>
References
This optional section can contain literature or other references for background information.
See Also
Optional links to other man pages
Examples
1 2 | ## Optional simple examples of the most important functions
## Use \dontrun{} around code to be shown but not executed
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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