Statistics¶

class olympus.utils.stat.StatStream(drop_first_obs=10)[source]¶

Bases: object

Sharable object

Store the sum of the observations amd the the sum of the observations squared The first few observations are discarded (usually slower than the rest)

The average and the standard deviation is computed at the user’s request

In order to make the computation stable we store the first observation and subtract it to every other observations. The idea is if x ~ N(mu, sigma) x - x0 and the sum of x - x0 should be close(r) to 0 allowing for greater precision; without that trick var was getting negative on some iteration.

Attributes:	avg count current_count current_obs drop_obs first_obs max min sd sum sum_sqr total val var

Methods

from_dict
state_dict
to_json
update

avg¶

count¶

current_count¶

current_obs¶

drop_obs¶

first_obs¶

static from_dict()[source]¶

max¶

min¶

sd¶

state_dict()[source]¶

sum¶

sum_sqr¶

to_json()[source]¶

total¶

update(val, weight=1)[source]¶

val¶

var¶

class olympus.utils.stat.StatStreamStruct[source]¶

Bases: _ctypes.Structure

Attributes:	current_count Structure/Union member current_obs Structure/Union member drop_obs Structure/Union member first_obs Structure/Union member max Structure/Union member min Structure/Union member sum Structure/Union member sum_sqr Structure/Union member

current_count¶: Structure/Union member

current_obs¶: Structure/Union member

drop_obs¶: Structure/Union member

first_obs¶: Structure/Union member

max¶: Structure/Union member

min¶: Structure/Union member

sum¶: Structure/Union member

sum_sqr¶: Structure/Union member