forestci: confidence intervals for scikit-learn forest algorithms
Project description
forest-confidence-interval is a Python module for calculating variance and adding confidence intervals to scikit-learn random forest regression or classification objects. The core functions calculate an in-bag and error bars for random forest objects
Please read the repository README on Github or our documentation
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
forestci-0.6.tar.gz
(12.8 kB
view details)
Built Distribution
forestci-0.6-py3-none-any.whl
(12.3 kB
view details)
File details
Details for the file forestci-0.6.tar.gz.
File metadata
- Download URL: forestci-0.6.tar.gz
- Upload date:
- Size: 12.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.6.1 requests/2.25.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f74f51eba9a7c189fdb673203cea10383f0a34504d2d28dee0fd712d19945b5a |
|
| MD5 | b959dd2a958f794bba159b12beabb9a6 |
|
| BLAKE2b-256 | 5ea3bd82281a88d3c649a7faaf51dec4c78e0c6ed6edee0c5aa1e1f58ace0edc |
File details
Details for the file forestci-0.6-py3-none-any.whl.
File metadata
- Download URL: forestci-0.6-py3-none-any.whl
- Upload date:
- Size: 12.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.6.1 requests/2.25.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 025e76b20e23ddbdfc0a9c9c7f261751ee376b33a7b257b86e72fbad8312d650 |
|
| MD5 | 04ceeb665f399e0ce497502d9f68d19f |
|
| BLAKE2b-256 | b30802f77e94d3b8c4a1b5ae48b4bf12689ba63f75b558b67fad10d407c6252e |
