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-0.1.34.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-0.1.34.tar.gz.
File metadata
- Download URL: htsexperimentation-0.1.34.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 |
3a6f5300a70dc7ec44d91d63aa99bdd62eec9729fd9a004ceb2e6628df4f32e9
|
|
| MD5 |
3bbfcd9db6c7c45aa2facfab2583c92f
|
|
| BLAKE2b-256 |
4a51bbe4fef27ea30ce1293187b8bde23506ea91795f99d595585ed8dc16334e
|
File details
Details for the file htsexperimentation-0.1.34-py3-none-any.whl.
File metadata
- Download URL: htsexperimentation-0.1.34-py3-none-any.whl
- Upload date:
- Size: 16.1 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 |
06aa963cc88958120226a92e22f12dc7ef9bf2d84cb7c83d5e5a86cc897269dd
|
|
| MD5 |
1ecf4873bd51066f8531771d7e85e5d7
|
|
| BLAKE2b-256 |
3a6e1fc04ae493a4287169c0311c0003bf1d0918ffbe3130b064ee0191380122
|
