Class loguniform_gen

hyperopt/rdists.py:13–32

Stats for Y = e^X where X ~ U(low, high).

class loguniform_gen(rv_continuous):
    """Stats for Y = e^X where X ~ U(low, high)."""

    def __init__(self, low=0, high=1):
        rv_continuous.__init__(self, a=np.exp(low), b=np.exp(high))
        self._low = low
        self._high = high

    def _rvs(self):
        rval = np.exp(mtrand.uniform(self._low, self._high, self._size))
        return rval

    def _pdf(self, x):
        return old_div(1.0, (x * (self._high - self._low)))

    def _logpdf(self, x):
        return -np.log(x) - np.log(self._high - self._low)

    def _cdf(self, x):
        return old_div((np.log(x) - self._low), (self._high - self._low))


class lognorm_gen(scipy_lognorm_gen):