Probabilistic Data Structures and Algorithms in Python
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Updated
Feb 24, 2020 - Python
Probabilistic Data Structures and Algorithms in Python
Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) and preventing quantile crossing using LightGBM and XGBoost
An extension of Py-Boost to probabilistic modelling
A library to compute histograms on distributed environments, on streaming data
Agnostic (re)implementations (R/SAS/Python/C) of common quantile estimation algorithms.
Monotone composite quantile regression neural network (MCQRNN) with tensorflow 2.x
Prometheus summary with quantiles
Python Implementation of Graham Cormode and S. Muthukrishnan's Effective Computation of Biased Quantiles over Data Streams in ICDE’05
A q-quantile estimator for high-dimensional distributions
Aioprometheus summary with quantiles
A data structure for accurate on-line accumulation of rank-based statistics.
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