GRAPE
GRAPE is a regression API in Python environment
Description
GRAPE makes it easy to fit a regression model with hyperparameter optimization. It strings together the workflow of model fitting, hyperparameter tuning, and model diagnostics. (model interpretability coming soon!).
- Available Regression Methods
- Elastic Net (from sklearn)
- Random Forest (from sklearn)
- xgboost
- lightgbm
- Hyperparameter Optimization
- Grape Uses Hyperopt's tree parzen estimator
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
grape-model-0.0.3.tar.gz
(17.8 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
File details
Details for the file grape-model-0.0.3.tar.gz.
File metadata
- Download URL: grape-model-0.0.3.tar.gz
- Upload date:
- Size: 17.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0.post20191101 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
94b1515a86921d12b3646465b5b92f7e37f10058d363a2544723be0d55ad53e6
|
|
| MD5 |
eefed712d6bbada750abee42dd7f18c8
|
|
| BLAKE2b-256 |
348af58100e248e302fa43c952b7907db1993a8cd119e9aa5457987c39fc2f22
|
File details
Details for the file grape_model-0.0.3-py3-none-any.whl.
File metadata
- Download URL: grape_model-0.0.3-py3-none-any.whl
- Upload date:
- Size: 23.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0.post20191101 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ccd7f98597d28f3f940df9830834af32cb896ab6c22487e0e4c9e9866b49193c
|
|
| MD5 |
f8daf8d1b31c7c2f168024e0f92c14fb
|
|
| BLAKE2b-256 |
5ead44e85faa3d4a50ed8830642857f92d9c15faf9680b30349a228b38c2dfe9
|