Function train

pub fn train<'a, S: Into<&'a str>>(
    documents: Vec<S>,
    attributes: Vec<Attribute<'a>>,
    settings: FuzzerSettings,
    iterations: usize,
) -> Result<TrainingResult>

Find suitable selectors for attributes in HTML documents documents.

The number of iterations is the number of generations the fuzzing algorithm should produce. In our experience, a very low number (1-3) of iterations should be sufficient for most input HTML documents. If a document has a very deep, nested structure, a higher number of iterations may be necessary.

Further settings can be adjusted with FuzzerSettings. If the generated selectors are not satisfactory, you can experiment with increasing the random_generation_count, random_generation_retries and other settings. Note that this may impact the training time.

The returned TrainingResult can be used to retrieve the generated selectors or to automatically extract information from previously unseen documents.