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
Built Distributions
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 forestci-0.3.tar.gz.
File metadata
- Download URL: forestci-0.3.tar.gz
- Upload date:
- Size: 10.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
459e091c68b5fc4976f9742368f473ddfad9536d9037a09b60d17e6ea9a40b9a
|
|
| MD5 |
d1b96a572a9511098a21f4879cda0f55
|
|
| BLAKE2b-256 |
512a03253aed99acfc283518b50d86a5f5509bc76f8ccddcf0dacf14f55fcd7d
|
File details
Details for the file forestci-0.3-py3-none-any.whl.
File metadata
- Download URL: forestci-0.3-py3-none-any.whl
- Upload date:
- Size: 11.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b273e5108428f1e167185c8c74494814b3f4bf05debc86eedb4a7c5143680841
|
|
| MD5 |
33e12b656699b8a337ab9d2833a8993d
|
|
| BLAKE2b-256 |
6481b453b7521ad93473aa728f6752ecfd839ed0dfb66a1b55c8b6d26c647da8
|
File details
Details for the file forestci-0.3-py2-none-any.whl.
File metadata
- Download URL: forestci-0.3-py2-none-any.whl
- Upload date:
- Size: 11.7 kB
- Tags: Python 2
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2ac99727d40ed817c04f9d0c9434a5c93fc66da8a6b459b6a46d83a8ae078495
|
|
| MD5 |
2db40939d024f0c9749b93c1b564cc63
|
|
| BLAKE2b-256 |
c3c0bd18e0f87bbed1e60b08b9b6b6fa796fece68f39b221ca419f988a271c02
|
