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-0.1.43.tar.gz
(14.3 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-0.1.43.tar.gz.
File metadata
- Download URL: htsexperimentation-0.1.43.tar.gz
- Upload date:
- Size: 14.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
396e7dcaf0b0392434d91d82e9bd467d15e5b4edcc06dc05c44ff603b75e8c7b
|
|
| MD5 |
77a693cc029a26dc2d82ab65c88270ba
|
|
| BLAKE2b-256 |
78af4df144f635ed4936a5dbb8505b7a6cf85ca681d836121d2129c03f6d7a87
|
File details
Details for the file htsexperimentation-0.1.43-py3-none-any.whl.
File metadata
- Download URL: htsexperimentation-0.1.43-py3-none-any.whl
- Upload date:
- Size: 18.1 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 |
567b86fa0c30736d2072c946235491b36b1f4f82a94ce9a8dc578fe5c1dcc615
|
|
| MD5 |
c4e157adf3c42be94e931e7f82961384
|
|
| BLAKE2b-256 |
e54ec1e0f92c3ff61a94484cec95391970026eb0980f67ddf7755554c7b90b43
|
