snipy/train/crossvalidation_set.py
def kfolds(n, k, sz, p_testset=None, seed=7238):
    """
    return train, valid  [,test]
    testset if p_testset
    :param n:
    :param k:
    :param sz:
    :param p_testset:
    :param seed:
    :return:
    """
    trains, tests = split_rand(sz, p_testset, seed)

    ntrain = len(trains)

    # np.random.seed(seed)
    with np_seed(seed):
        np.random.shuffle(trains)
    if n == k:
        # no split
        train, valid = trains, trains
    else:
        foldsz = ntrain // k

        itrain = np.arange(ntrain) // foldsz != n
        train = trains[itrain]
        valid = trains[~itrain]

    if not p_testset:
        return train, valid
    else:
        return train, valid, tests
def kfolds(n, k, sz, p_testset=None, seed=7238):
    """
    return train, valid  [,test]
    testset if p_testset
    :param n:
    :param k:
    :param sz:
    :param p_testset:
    :param seed:
    :return:
    """
    trains, tests = split_rand(sz, p_testset, seed)

    ntrain = len(trains)

    # np.random.seed(seed)
    with np_seed(seed):
        np.random.shuffle(trains)
    if n == k:
        # no split
        train, valid = trains, trains
    else:
        foldsz = ntrain // k

        itrain = np.arange(ntrain) // foldsz != n
        train = trains[itrain]
        valid = trains[~itrain]

    if not p_testset:
        return train, valid
    else:
        return train, valid, tests
def kfolds ( n , k , sz , p_testset = None , seed = 7238 ) : trains , tests = split_rand ( sz , p_testset , seed ) ntrain = len ( trains ) # np.random.seed(seed) with np_seed ( seed ) : np . random . shuffle ( trains ) if n == k : # no split train , valid = trains , trains else : foldsz = ntrain // k itrain = np . arange ( ntrain ) // foldsz != n train = trains [ itrain ] valid = trains [ ~ itrain ] if not p_testset : return train , valid else : return train , valid , tests
return train, valid  [,test]
    testset if p_testset
    :param n:
    :param k:
    :param sz:
    :param p_testset:
    :param seed:
    :return:
return train valid [ test ] testset if p_testset : param n : : param k : : param sz : : param p_testset : : param seed : : return :