Summary Method for net_link_prediction
Usage
# S3 method for class 'net_link_prediction'
summary(object, ...)Examples
seqs <- data.frame(
V1 = sample(LETTERS[1:4], 30, TRUE),
V2 = sample(LETTERS[1:4], 30, TRUE),
V3 = sample(LETTERS[1:4], 30, TRUE)
)
net <- build_network(seqs, method = "relative")
pred <- predict_links(net)
summary(pred)
#> Warning: no non-missing arguments to max; returning -Inf
#> Warning: no non-missing arguments to min; returning Inf
#> Warning: no non-missing arguments to max; returning -Inf
#> Warning: no non-missing arguments to min; returning Inf
#> Warning: no non-missing arguments to max; returning -Inf
#> Warning: no non-missing arguments to min; returning Inf
#> Warning: no non-missing arguments to max; returning -Inf
#> Warning: no non-missing arguments to min; returning Inf
#> Warning: no non-missing arguments to max; returning -Inf
#> Warning: no non-missing arguments to min; returning Inf
#> Warning: no non-missing arguments to max; returning -Inf
#> Warning: no non-missing arguments to min; returning Inf
#> method n_predictions score_mean score_sd score_max score_min
#> 1 common_neighbors 0 NaN NA -Inf Inf
#> 2 resource_allocation 0 NaN NA -Inf Inf
#> 3 adamic_adar 0 NaN NA -Inf Inf
#> 4 jaccard 0 NaN NA -Inf Inf
#> 5 preferential_attachment 0 NaN NA -Inf Inf
#> 6 katz 0 NaN NA -Inf Inf