Description Usage Arguments Value Examples
bn_flag_inference
use the trained Bayesian Network model
to predict the errors that may happen in the dataset.
1 | bn_flag_inference(dataset, fit_model)
|
dataset |
A data frame. |
fit_model |
A bn fit model generated by |
The output is a data frame inferred error flags.
1 2 3 4 5 | adult_with_flag <- add_random_error(adult[1:100,], prob = c(0.97, 0.03), "age_missing")
adult_with_flag <- split_data(adult_with_flag, 70)
bn_learn <- gen_bn_learn(adult_with_flag$training_set, "hc")
syn_error_occurrence <- bn_flag_inference(bn_learn$gen_data, bn_learn$fit_model)
syn_error_occurrence
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