bin_index_finder_nest: Find bin index from R-tree structure
In kmaurer/binsemble:

Description Usage Arguments Value Examples

Use R-tree structure using from make_bin_list() function to find bin index for new observation

1	bin_index_finder_nest(x, bin_def, strict = TRUE)

`x`	vector of input values for each of the binned dimensions
`bin_def`	Iterative quantile binning definition list
`strict`	TRUE/FALSE: If TRUE Observations must fall within existing bins to be assigned; if FALSE the outer bins in each dimension are unbounded to allow outlying values to be assigned.

bin index for new observation

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iq_def <- iterative_quant_bin(data=iris, bin_cols=c("Sepal.Length","Sepal.Width","Petal.Width"),
                               nbins=c(3,2,2), output="both")
bin_index_finder_nest(x=c(6,3,1.5),bin_def=iq_def$bin_def, strict=TRUE)