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-0.1.4.tar.gz (15.3 kB view details)

Uploaded Source

Built Distribution

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

eqr-0.1.4-py3-none-any.whl (15.8 kB view details)

Uploaded Python 3

File details

Details for the file eqr-0.1.4.tar.gz.

File metadata

  • Download URL: eqr-0.1.4.tar.gz
  • Upload date:
  • Size: 15.3 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-0.1.4.tar.gz
Algorithm Hash digest
SHA256 02ad0ab18084830d34eb6b3769ea4f5c3a40c7fdafa8df4550402b0bfdd9b076
MD5 0bb3185f157e08a40371910279964d1d
BLAKE2b-256 16e5ea5d42085eccf3a73194015f6f9e1691704ccb6f0d74355dca1aac07f096

See more details on using hashes here.

File details

Details for the file eqr-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: eqr-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 15.8 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-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 035f426b1a2235a830c903d79e72672610f38b5efda22f66bd5a6519f747ae4f
MD5 4845d4b6d6b67c714dae8d8dfc6d8c2c
BLAKE2b-256 126630963339794d892e740300956f8aafacdb4f3dc85c1cc868c01d70523571

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