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Base URL, credentials and a reachable server.
Product
Product features · Stable log-sum-exp aggregation
01
ExponQuay helps review exponential aggregation around a shifted maximum, keeping empty input distinct from a finite collection of very negative values.
Selection
A model available through the configured endpoint.
Capabilities
Context limits and tool support are determined by the model and server.
Stable log-sum-exp aggregation
● ● ●ExponQuay●
A concrete starting point · Stable log-sum-exp aggregation ×
from math import exp, fsum, log, inf
def log_sum_exp(values):
if type(values) not in (list, tuple) or len(values) > 1000:
raise ValueError("values.container")
values = tuple(values)
if len(values) > 1000 or any(
type(v) not in (int, float) or not -1e300 <= v <= 1e300 for v in values
):
raise ValueError("values.range")
if not values:
return -inf
peak = max(values)
return peak + log(fsum(exp(v - peak) for v in values))✳Aggregate up to 1000 log-values from minus 1e300 through 1e300 by shifting their maximum before exponentiation.
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Illustrative workspace
