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-0.1.6.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-0.1.6-py3-none-any.whl
(15.9 kB
view details)
File details
Details for the file eqr-0.1.6.tar.gz.
File metadata
- Download URL: eqr-0.1.6.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 |
692e31c90d8f07935b1fad7b6dda4a5f3156f68e1c135c3b8a4091a2d5fbd190
|
|
| MD5 |
1870320d7d0c5ef8d31d9a62207fd01c
|
|
| BLAKE2b-256 |
a17716e4921bbf40f4e89893deae1ef37724a303590018a417afc1b510dffc77
|
File details
Details for the file eqr-0.1.6-py3-none-any.whl.
File metadata
- Download URL: eqr-0.1.6-py3-none-any.whl
- Upload date:
- Size: 15.9 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 |
8ac6dcc7b252720e5f4b7926e6ed50e47d4e537c9abc0a61c0edf43b12b2b7c2
|
|
| MD5 |
58a986136a01ed9db258cbfb565e5d1e
|
|
| BLAKE2b-256 |
8250d0e76c19d2104e38b1f95d529d241914e56c152f7709e78cfa003bb43280
|
