sim_postcode_levels: Simulate the levels and their sizes in a high-cardinality...
In nanxstats/oneclust: Maximum Homogeneity Clustering for Univariate Data
sim_postcode_levels R Documentation
Simulate the levels and their sizes in a high-cardinality feature
Description
Simulate the levels and their sizes in a high-cardinality feature
Usage
sim_postcode_levels(nlevels = 100L, seed = 1001)
Arguments
nlevels
Number of levels to generate.
seed
Random seed.
Value
A data frame of postal codes and sizes.
Note
The code is derived from the example described in the "rare levels"
vignette in the vtreat package.
Examples
df_levels <- sim_postcode_levels(nlevels = 500, seed = 42)
head(df_levels)
nanxstats/oneclust documentation built on March 14, 2024, 6:27 a.m.
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| sim_postcode_levels | R Documentation |
Simulate the levels and their sizes in a high-cardinality feature
Description
Simulate the levels and their sizes in a high-cardinality feature
Usage
sim_postcode_levels(nlevels = 100L, seed = 1001)
Arguments
nlevels |
Number of levels to generate. |
seed |
Random seed. |
Value
A data frame of postal codes and sizes.
Note
The code is derived from the example described in the "rare levels"
vignette in the vtreat package.
Examples
df_levels <- sim_postcode_levels(nlevels = 500, seed = 42)
head(df_levels)
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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