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Online Kernel Learning

The OGD software was obtained from the following website as a subset (i.e., C++ source code only):

https://github.com/LIBOL/KOL

The software was modified to add the Isolation Kernel compoments.

Additional Command line parameters

Batch mode:

* -opt KERNEL-IK_OGD
* -ik_model <aNNE, iNNE, iForest, DotProduct> : DotProduct is for pre-generated data file.
* -ik_psi <value>
* -ik_sets <value>

Online mode:

* -ik_mode_online : to select online mode
* -ik_ol_init_bk_size : the initial training size
* -ik_ol_acc_bk : output the accuracy after 'x' number of blocks

Additional Note

The original OGD software is rather fragile. For example, if the number of data points within a data file is a multiple of 256, then the program could crash. I haven't attempted to supply any fixes to the original software.

References

Ting, Kai Ming, Jonathan R. Wells, and Takashi Washio. "Isolation kernel: the X factor in efficient and effective large scale online kernel learning." Data Mining and Knowledge Discovery 35.6 (2021): 2282-2312.[pdf]

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