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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
eqr-0.1.3.tar.gz
(15.3 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
eqr-0.1.3-py3-none-any.whl
(15.8 kB
view details)
File details
Details for the file eqr-0.1.3.tar.gz.
File metadata
- Download URL: eqr-0.1.3.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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5c55fa8e1353997329259dcd48e534f2a5038e49285fed1b0187e617f2e5166b
|
|
| MD5 |
fc8fef0c1a46b3c77eaa8bbe1b6a22ea
|
|
| BLAKE2b-256 |
bce16b1ed7c4627f4a2382ea8c29e74e3b6d21e51e9cad079f0c6a29e62febb4
|
File details
Details for the file eqr-0.1.3-py3-none-any.whl.
File metadata
- Download URL: eqr-0.1.3-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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
322114b290b5ca4253259bceac59105782566a6d0b961bee9290cb163d3400d6
|
|
| MD5 |
c15af9a82dbb1ffbd64cc9f03f05924a
|
|
| BLAKE2b-256 |
087818bdb04661804fa4db3f7d11a584c0d0b6ec27256d1dabe2dc21a8385e01
|
