lighttuner.hpo.utils.math¶

l2normal¶

lighttuner.hpo.utils.math.l2normal(x, mu=0.0, sigma=1.0)[source]¶

Overview:: Turn one \(\left[0, 1\right]\) linear value to normal distribution value, follows N(mu, sigma).

Parameters:

x – Original linear value.
mu – Mu value.
sigma – Sigma value.

Returns:

A normal distribution value.

Examples::

Simple usage

>>> from lighttuner.hpo.utils.math import l2normal
>>> l2normal(0.0)
-inf
>>> l2normal(0.2)
-0.8416212335729143
>>> l2normal(0.5)
0.0
>>> l2normal(0.8)
0.8416212335729143
>>> l2normal(1.0)
inf
>>> l2normal(-0.1)
nan
>>> l2normal(1.1)
nan

Use given mu and sigma

>>> l2normal(0.2, 2, 8)
-4.732969868583314
>>> l2normal(0.5, 10, 4)
10.0
>>> l2normal(0.8, -3, 6)
2.0497274014374858