def create_baseline_config(title=None):

    dev_revisions = ['apache/trunk', 'apache/cassandra-3.0', 'apache/cassandra-2.2']
    config = {}
    config['revisions'] = revisions = []

    for r in dev_revisions:
        revisions.append({'revision': r, 'label': r + ' (dev)'})

    for r in revisions:
        r['options'] = {'use_vnodes': True}
        r['java_home'] = "~/fab/jvms/jdk1.7.0_71" if 'oldstable' in r['label'] else "~/fab/jvms/jdk1.8.0_45"

    config['title'] = 'Jenkins C* regression suite - {}'.format(datetime.datetime.now().strftime("%Y-%m-%d"))

    if title is not None:
        config['title'] += ' - {title}'.format(title=title)

    return config
Train the GMM on the data. Optinally specify max and min iterations.
dataset/ETHPy150Open datastax/cstar_perf/regression_suites/regression_suites.py/create_baseline_config--crossover with--dataset/ETHPy150Open hcook/gmm/gmm_specializer/gmm.py/GMM.train