ray/rllib/utils/metrics/window_stat.py

28 lines
827 B
Python

import numpy as np
class WindowStat:
def __init__(self, name, n):
self.name = name
self.items = [None] * n
self.idx = 0
self.count = 0
def push(self, obj):
self.items[self.idx] = obj
self.idx += 1
self.count += 1
self.idx %= len(self.items)
def stats(self):
if not self.count:
_quantiles = []
else:
_quantiles = np.nanpercentile(self.items[:self.count],
[0, 10, 50, 90, 100]).tolist()
return {
self.name + "_count": int(self.count),
self.name + "_mean": float(np.nanmean(self.items[:self.count])),
self.name + "_std": float(np.nanstd(self.items[:self.count])),
self.name + "_quantiles": _quantiles,
}