perf_pairwise: Performance for pairwise
In gbm-developers/gbm3: Generalized Boosted Regression Models
View source: R/perf-pairwise.r
perf_pairwise R Documentation
Performance for pairwise
Description
Additional performance using appropriate metric for pairwise
distribution fit.
Usage
perf_pairwise(y, f, group, metric = "ndcg", w = NULL, max_rank = 0)
Arguments
y
responses used for fit.
f
the predicted responses.
group
the indices specifiying which response variables
belong to which groups.
metric
What type of performance measure to compute in
perf_pairwise. Can take values "ir_measure_conc",
"ir_measure_mrr", "ir_measure_map" or "ir_measure_ndgc".
w
is the weights of each observation.
max_rank
the maximum rank considered in the groups measure.
Value
returns a numeric value of the selected performance metric
Author(s)
Greg Ridgeway gregridgeway@gmail.com
See Also
gbmt
gbm-developers/gbm3 documentation built on April 28, 2024, 10:04 p.m.
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View source: R/perf-pairwise.r
| perf_pairwise | R Documentation |
Performance for pairwise
Description
Additional performance using appropriate metric for pairwise distribution fit.
Usage
perf_pairwise(y, f, group, metric = "ndcg", w = NULL, max_rank = 0)
Arguments
y |
responses used for fit. |
f |
the predicted responses. |
group |
the indices specifiying which response variables belong to which groups. |
metric |
What type of performance measure to compute in
|
w |
is the weights of each observation. |
max_rank |
the maximum rank considered in the groups measure. |
Value
returns a numeric value of the selected performance metric
Author(s)
Greg Ridgeway gregridgeway@gmail.com
See Also
gbmt
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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