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com.johnsnowlabs.nlp.eval.resolution

EvalEntityResolver

trait EvalEntityResolver extends AnyRef

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  4. def accuracy(dataset: DataFrame, trueCol: String, resolverCol: String, numOfChars: Int = 0): Double

    calculates the accuracy metric for the EntityResolverModel in the provided dataset; the dataset should contain a column with the true code and a column from the EntityResolverModel annotator

    calculates the accuracy metric for the EntityResolverModel in the provided dataset; the dataset should contain a column with the true code and a column from the EntityResolverModel annotator

    dataset

    Transformed DataFrame

    trueCol

    Column with the ground truth code

    resolverCol

    Column with the EntityResolverModel annotation

    returns

    The rate of correct entities

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  12. def hitsAtK(dataset: DataFrame, trueCol: String, resolverCol: String, k: Int, numOfChars: Int = 0): Double

    dataset

    Transformed DataFrame

    trueCol

    Column with the ground truth code

    resolverCol

    Column with the EntityResolverModel annotation

    k

    Number of results to include in the set (k parameter for Hits@K)

    numOfChars

    Number of characters to compare from the codes starting from left; defaults to 0 which compares the full code

    returns

    The rate of correct entities appearing in the top k entries for each instance list

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