kNN_best_split_function: Get a get_best_split function from the kNN classifier
In mlondschien/hdcd: High - Dimensional Change Point Detection
View source: R/best_split_functions.R
Description
Returns a closure with formal arguments x, start, end and split_candidates that finds the
maximizer of the gain_function given data x, start and end on split_candidates
using the optimizer optimizer.
Usage
1
kNN_best_split_function(x, control)
Arguments
x
A matrix with observations in rows
control
Control parameter as returned by hdcd_control
mlondschien/hdcd documentation built on Jan. 5, 2021, 11:26 p.m.
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View source: R/best_split_functions.R
Description
Returns a closure with formal arguments x, start, end and split_candidates that finds the
maximizer of the gain_function given data x, start and end on split_candidates
using the optimizer optimizer.
Usage
1 | kNN_best_split_function(x, control)
|
Arguments
x |
A matrix with observations in rows |
control |
Control parameter as returned by hdcd_control |
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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