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.
Notes
To use lightgbm python package
on Mac you might need to do sometihng like brew install libomp.
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
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
File details
Details for the file eqr-0.1.17.tar.gz.
File metadata
- Download URL: eqr-0.1.17.tar.gz
- Upload date:
- Size: 17.2 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 |
e0914a291c6e4241cc7fe0f42dd5162581424900611e6a9ff7bb9951df5e3ada
|
|
| MD5 |
1547f6802a57739a443322dc49bd245c
|
|
| BLAKE2b-256 |
c8a644779e72bc5c1384ca114f9bdcf35986cc6e6efc3a0fc028415e45fbbf28
|
File details
Details for the file eqr-0.1.17-py3-none-any.whl.
File metadata
- Download URL: eqr-0.1.17-py3-none-any.whl
- Upload date:
- Size: 18.5 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 |
8d7c864d7e609f456d6872c4316d45d9547dc74747b160aa6533afa7f0cb349a
|
|
| MD5 |
4cb0713a29caee8966362e24908a4b91
|
|
| BLAKE2b-256 |
cbb51e18c6644260da2299a3cc341d811376b5903624f861b8baf343902c6e36
|
