t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark
- Updated
May 4, 2023 - Python
t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark
weighted quantiles with Python
Agnostic (re)implementations (R/SAS/Python/C) of common quantile estimation algorithms.
Prometheus summary with quantiles
Python Implementation of Graham Cormode and S. Muthukrishnan's Effective Computation of Biased Quantiles over Data Streams in ICDE’05
The code for Quantile-Quantile Embedding (QQE).
A fast nanquantile implementation
Accompanying repository for the paper "Probabilistic Calibration by Design for Neural Network Regression" (AISTATS 2024).
Aioprometheus summary with quantiles
Distributions visualized
Geometric distribution median.
Degenerate distribution median.
Degenerate distribution quantile function.
QpiGNN: Quantile-Free Uncertainty Quantification in Graph Neural Networks
Bernoulli distribution median.
Binomial distribution median.
Privacy-preserving ROC/PR curve approximation for federated learning.
Bradford distribution median.
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