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-0.1.5.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-0.1.5-py3-none-any.whl
(15.8 kB
view details)
File details
Details for the file eqr-0.1.5.tar.gz.
File metadata
- Download URL: eqr-0.1.5.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 |
50d03e8ec7a785a94a4071d2e6cb248c185d6d23bdaacd2cd2f6ff558cb6534f
|
|
| MD5 |
c47635ff0327cc1b97e1e62cb50f9961
|
|
| BLAKE2b-256 |
ff36b38143e649065ceae3844fed7af0aec1bff97c1a6ef13f2b51a0cd7c2af5
|
File details
Details for the file eqr-0.1.5-py3-none-any.whl.
File metadata
- Download URL: eqr-0.1.5-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 |
2bdf24b07b197fb2d2c6e00902df0f4bdd59e4b2833d0c4c52db605fbcb2f5a2
|
|
| MD5 |
1d0a449cdf5cf1c0ba2efbcb83d61497
|
|
| BLAKE2b-256 |
c564a0d860e979a83e5c6b26cc820e0dde17bcb5320935c90309714cff968f29
|
