def star_chunk(cluster, logdir, cmdline, *args):
    if args:
        cluster.chunk_size = int(args[0])
        if len(args) > 1:
            cluster.chunk_delay = float(args[1])
    print('Cluster chunk-factor is %s with a temporal warp of %s' % (cluster.chunk_size, cluster.chunk_delay))
derivative of the covariance matrix with respect to the parameters.
dataset/ETHPy150Open radssh/radssh/radssh/star_commands.py/star_chunk--crossover with--dataset/ETHPy150Open SheffieldML/GPy/GPy/kern/src/todo/symmetric.py/Symmetric._param_grad_helper