Advanced and Fast Data Transformation in R
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Updated
Nov 10, 2024 - C
Advanced and Fast Data Transformation in R
Dart implementation of a directed graph. Provides algorithms for sorting vertices, retrieving a topological ordering or detecting cycles.
Locally-weighted polynomial regression via the LOWESS algorithm.
Compute an exponentially weighted standard deviation incrementally.
Compute an exponentially weighted mean incrementally.
Compute an exponentially weighted variance incrementally.
Compute a weighted arithmetic mean incrementally.
A weighted random item sampler (selector), where the probability of selecting an item is proportional to its weight. The sampling method utilizes a binary search optimization, making it suitable for performance-demanding applications where the set of items is large and the sampling frequency is high.
A new clustering technique is proposed that incorporates outliers during clustering. The proposed approach involves using a variable, (λ > 0), to define the cluster radius. Weighted an
A list of weighted items for weighted selection and randomisation, available in both Python and C#
Hashed weighted round robin is a load balancing algorithm that will distribute traffic between destinations based on a hash and weight of backends.
Dropwizard JAVA8 based external load balancer supporting the following modes: ROUND_ROBIN, RANDOM, STICKY, IP_HASH, KEY_HASH, TIMESTAMP_HASH, WEIGHTED
Ultra fast and lightweight function to pick a random item from a weighted list.
Simple Python class for performing a Weighted PCA (WPCA)
Weighted Rendezvous Hashing
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