def create(name, availability_zones, listeners, subnets=None,
           security_groups=None, scheme='internet-facing',
           region=None, key=None, keyid=None,
           profile=None):
    conn = _get_conn(region=region, key=key, keyid=keyid, profile=profile)
    if exists(name, region, key, keyid, profile):
        return True
    if isinstance(availability_zones, string_types):
        availability_zones = json.loads(availability_zones)

    if isinstance(listeners, string_types):
        listeners = json.loads(listeners)

    _complex_listeners = []
    for listener in listeners:
        _complex_listeners.append(listener_dict_to_tuple(listener))
    try:
        lb = conn.create_load_balancer(name, availability_zones, [],
                                       subnets, security_groups, scheme,
                                       _complex_listeners)
        if lb:
            log.info('Created ELB {0}'.format(name))
            return True
        else:
            msg = 'Failed to create ELB {0}'.format(name)
            log.error(msg)
            return False
    except boto.exception.BotoServerError as error:
        log.debug(error)
        msg = 'Failed to create ELB {0}: {1}: {2}'.format(name, error.error_code, error.message)
        log.error(msg)
        return False
Call predict_proba on the estimator with the best found parameters.
dataset/ETHPy150Open saltstack/salt/salt/modules/boto_elb.py/create--crossover with--dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/grid_search.py/BaseSearchCV.predict_proba