Description Usage Arguments Value
Takes a partition function and returns the covariance between two points derived from that partition function. The partition function should return a vector of integers, with each integer representing the result of a different classifier.
1 | random.partition.kernel(a, b, hyper.params = NULL, additional.params)
|
a |
first data point |
b |
second data point |
hyper.params |
an empy vector (included for compatibility with kernel function format) |
additional.params |
A list with a named element "partitionFunction" containing the partition function which defines the kernel |
The covariance between a
and b
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