Skip to main content

A python package to perform quantile regression with more meaningful epistemic uncertainty estimates through training set augmentation using synthetic data. A blend of discriminative and generative models.

Project description

eqr

Epistemic Quantile Regression (EQR)

Go here for Documentation.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

eqr-0.1.0.tar.gz (12.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

eqr-0.1.0-py3-none-any.whl (13.1 kB view details)

Uploaded Python 3

File details

Details for the file eqr-0.1.0.tar.gz.

File metadata

  • Download URL: eqr-0.1.0.tar.gz
  • Upload date:
  • Size: 12.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.12.5 Darwin/23.1.0

File hashes

Hashes for eqr-0.1.0.tar.gz
Algorithm Hash digest
SHA256 2e479d939bfd4ac42ec178773a88d91d4653ef0299377f90537d71c69758abb7
MD5 35727d3107d35e24cf52a5c261bcc2aa
BLAKE2b-256 a5b3428f6b8e95d48bdffc149053b6e26868f2b06eaaa3b5987b1d992c5b136c

See more details on using hashes here.

File details

Details for the file eqr-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: eqr-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 13.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.12.5 Darwin/23.1.0

File hashes

Hashes for eqr-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4dbb7e142b9c651e66d5dd3881c5757e0dce552d4e9fd240ac15a8967bb460bb
MD5 44bc3bdaf234b37b1089c9e955cca486
BLAKE2b-256 11994023659b9791110a4ce29e58f3f282c4f496787f03602fc9bc3ed6a85e37

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page