e144e814fa4b542fa70c5b4c167d1253a7a25342,skbio/maths/gradient.py,,make_groups,#Any#Any#Any#Any#,36

Before Change

    

    // Creating groups
    groups = defaultdict([])

    // If sort_category is provided, we used the value of such category to sort
    // otherwise we use the sample id
    if sort_category:

After Change

    // Group by vector_category
    metamap_t = metamap.transpose()
    gb = metamap_t.groupby(vector_category)
    groups = {}
    for g, df in gb:
        groups[g] = signed_natsort([(sort_val(sid), sid) for sid in df.index])

    return groups


def weight_by_vector(vector, w_vector):

Instances