Hierarchical time series forecasting package to help analyze experiments
Project description
A package that allows you to analyze the results from experiments performed using a hierarchical time series forecasting algorithms
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
htsexperimentation-0.1.14.tar.gz
(11.5 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 htsexperimentation-0.1.14.tar.gz.
File metadata
- Download URL: htsexperimentation-0.1.14.tar.gz
- Upload date:
- Size: 11.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
69c1d1f9c8790179a20ca55cee25f6c02c9cb84ea7c44ea1cac1faeaa73219dc
|
|
| MD5 |
2e3642fba2fd6ad3e3b9421c8975d351
|
|
| BLAKE2b-256 |
b58d2aa2e5a36fa43e300714621e410b285f5ba989f239a750266633e574d35c
|
File details
Details for the file htsexperimentation-0.1.14-py3-none-any.whl.
File metadata
- Download URL: htsexperimentation-0.1.14-py3-none-any.whl
- Upload date:
- Size: 14.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
645c8b763611300fc9d3d722c418cf3af9f3ccea0390155734f3c03cccc5b78e
|
|
| MD5 |
35cb2267c6ca1a43f37a9720e93b519e
|
|
| BLAKE2b-256 |
ac115ab939ecfe08eb681e6ad72382c2bb7ed8a86b5a343fc079bc94f4b0dc7d
|
