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
Project details
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-0.1.36.tar.gz
(12.4 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-0.1.36.tar.gz.
File metadata
- Download URL: htsexperimentation-0.1.36.tar.gz
- Upload date:
- Size: 12.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5b1d2c438cd2428e14d8d95cbd1c47d979a3ddc85d10ef7fcf51f4522d584a8c
|
|
| MD5 |
b221d3c0bc01630ea135be39207f0d29
|
|
| BLAKE2b-256 |
2e741bb710340f006242b42121b7e1236569708f5e2f2f27b2a5b32defd85b1d
|
File details
Details for the file htsexperimentation-0.1.36-py3-none-any.whl.
File metadata
- Download URL: htsexperimentation-0.1.36-py3-none-any.whl
- Upload date:
- Size: 16.2 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 |
c864d89d8efab3c5e2b78f6003fc748676fd2bcd8e4841de9a5f990bbdb024eb
|
|
| MD5 |
55448a9ebb0e20b4a227b81bfd9688b2
|
|
| BLAKE2b-256 |
d5376a9efa540a14d56367436e8154513d3f832daa86ffdc30dc7db28ea830d3
|