Expand description
Percentile / median calculations.
O(n log n)
naive_percentile
(simple to understand)- probabilistic
O(n)
percentile
(recommended, fastest, and also quite simple to understand) - deterministic
O(n)
median_of_medians
(harder to understand, probably slower than the probabilistic version. However guarantees linear time, so useful in critical applications.)
You should probably use percentile_rand
.
The linear time algoritms are implementations following this blogpost.
Modules§
- Operations on
crate::Cluster
s.
Structs§
- A simplified fraction. This is used to get a percentile from any function in this module.
- Get the k-th largest value. Implements
OrderedListIndex
. - Get the k-th smallest value. Implements
OrderedListIndex
.
Enums§
- The result of a percentile (e.g. median) lookup.
Traits§
- Resolves the mean function to return a concrete value. Accessible through
MeanValue::resolve
.
Functions§
- Convenience function for
percentile
with the 50% mark as the target andpivot_fn::rand
(if thepercentile-rand
feature is enabled, elsepivot_fn::middle
).