DSD_MOA: Base class for MOA-based Data Stream Generators
In mhahsler/streamMOA: Interface for MOA Stream Clustering Algorithms
DSD_MOA R Documentation
Base class for MOA-based Data Stream Generators
Description
Abstract base class for MOA-based data stream generators
directly inherits from stream::DSD.
Usage
DSD_MOA(...)
Arguments
...
further arguments.
Value
The abstract class cannot be instantiated and produces an error.
Author(s)
Michael Hahsler
References
MOA: Massive Online Analysis, a Framework for Stream
Classification and Clustering Albert Bifet, Geoff Holmes, Bernhard
Pfahringer, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl.
Journal of Machine Learning Research (JMLR).
See Also
Other DSD_MOA:
DSD_RandomRBFGeneratorEvents()
Examples
DSD()
mhahsler/streamMOA documentation built on April 24, 2024, 10:12 p.m.
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| DSD_MOA | R Documentation |
Base class for MOA-based Data Stream Generators
Description
Abstract base class for MOA-based data stream generators directly inherits from stream::DSD.
Usage
DSD_MOA(...)
Arguments
... |
further arguments. |
Value
The abstract class cannot be instantiated and produces an error.
Author(s)
Michael Hahsler
References
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl. Journal of Machine Learning Research (JMLR).
See Also
Other DSD_MOA:
DSD_RandomRBFGeneratorEvents()
Examples
DSD()
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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