def log_uniform(low, high):
    log_low = numpy.log(low)
    log_high = numpy.log(high)

    log_rval = numpy.random.uniform(log_low, log_high)
    rval = float(numpy.exp(log_rval))

    return rval
Generates a number that's uniformly distributed in the log-space between
dataset/ETHPy150Open lisa-lab/pylearn2/pylearn2/scripts/tutorials/jobman_demo/utils.py/log_uniform