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
Project details
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-0.1.9.tar.gz
(15.4 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-0.1.9-py3-none-any.whl
(15.9 kB
view details)
File details
Details for the file eqr-0.1.9.tar.gz.
File metadata
- Download URL: eqr-0.1.9.tar.gz
- Upload date:
- Size: 15.4 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 |
5bb56c424b42454d5f12df7e7c82a0eab2859d8b2ec453684f386bc90c09a46c
|
|
| MD5 |
07579841011906a7ebb235b4175a8649
|
|
| BLAKE2b-256 |
3f92f9248838affeb1eaf4ccc9a6bb182b32f357076bbfc1792f1cb4ab3f065c
|
File details
Details for the file eqr-0.1.9-py3-none-any.whl.
File metadata
- Download URL: eqr-0.1.9-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 |
1e58aa3d3cec0dffe0f9fd4f332190a5ceef5763776bb8e5502428b7e260cf70
|
|
| MD5 |
dafbb50b70c664301a9bb612c17145e1
|
|
| BLAKE2b-256 |
6c7af721ca7570adc2a38284b03e12f732d5a2e4060fc4a8b5fbe6799b26c7b6
|