Python __boundary_statistics__の例

コード例 #1

ファイル: boundary.py プロジェクト: UKPLab/emnlp2015-ih-ig

def __boundary_similarity__(*args, **kwargs):

    metric_kwargs = dict(kwargs)
    del metric_kwargs['return_parts']
    del metric_kwargs['one_minus']
    # Arguments
    return_parts = kwargs['return_parts']
    one_minus = kwargs['one_minus']
    # Compute
    statistics = __boundary_statistics__(*args, **metric_kwargs)
    additions = statistics['additions']
    substitutions = statistics['substitutions']
    transpositions = statistics['transpositions']
    count_unweighted = len(additions) + len(substitutions) + len(transpositions)
    # Fraction
    denominator = count_unweighted + len(statistics['matches'])
    numerator = denominator - statistics['count_edits']
    if return_parts:
        return numerator, denominator, additions, substitutions, transpositions
    else:
        value = numerator / denominator if denominator > 0 else 1
        if one_minus:
            return Decimal('1') - value
        else:
            return value

コード例 #2

ファイル: boundary.py プロジェクト: ljubad/emnlp2015-ih-ig

def __boundary_similarity__(*args, **kwargs):

    metric_kwargs = dict(kwargs)
    del metric_kwargs['return_parts']
    del metric_kwargs['one_minus']
    # Arguments
    return_parts = kwargs['return_parts']
    one_minus = kwargs['one_minus']
    # Compute
    statistics = __boundary_statistics__(*args, **metric_kwargs)
    additions = statistics['additions']
    substitutions = statistics['substitutions']
    transpositions = statistics['transpositions']
    count_unweighted = len(additions) + len(substitutions) + len(
        transpositions)
    # Fraction
    denominator = count_unweighted + len(statistics['matches'])
    numerator = denominator - statistics['count_edits']
    if return_parts:
        return numerator, denominator, additions, substitutions, transpositions
    else:
        value = numerator / denominator if denominator > 0 else 1
        if one_minus:
            return Decimal('1') - value
        else:
            return value

コード例 #3

def __segmentation_similarity__(*args, **kwargs):
    '''
    Segmentation Similarity (S).
    '''

    metric_kwargs = dict(kwargs)
    del metric_kwargs['return_parts']
    del metric_kwargs['one_minus']
    # Arguments
    return_parts = kwargs['return_parts']
    one_minus = kwargs['one_minus']
    # Compute
    statistics = __boundary_statistics__(*args, **metric_kwargs)
    # Process
    pbs = statistics['pbs'] * len(statistics['boundary_types'])
    # Fraction
    denominator = pbs
    numerator = pbs - statistics['count_edits']
    if return_parts:
        return numerator, denominator
    else:
        value = numerator / denominator if denominator > 0 else 1
        if one_minus:
            return Decimal('1') - value
        else:
            return value