67376e7b0f23f02f3cfb1cbb422783d5b243053b,Orange/widgets/data/owdatasampler.py,,sample_random_n,#Any#Any#Any#Any#Any#,309

Before Change

def sample_random_n(table, n, stratified=False, replace=False,
                    random_state=None):
    assert n > 0
    n = int(n)
    if replace:
        if n == 1 and len(table):
            // one example is needed, not the whole (100%) set

After Change

def sample_random_n(table, n, stratified=False, replace=False,
                    random_state=None):
    if replace:
        sample = np.random.random_integers(0, len(table) - 1, n)
        o = np.ones(len(table))
        o[sample] = 0
        others = np.nonzero(o)[0]
        return others, sample
    if stratified and is_discrete(table.domain.class_var):
        test_size = max(len(table.domain.class_var.values), n)
        ind = cross_validation.StratifiedShuffleSplit(
            table.Y.ravel(), n_iter=1,

Instances