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-0.1.46.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-0.1.46.tar.gz.
File metadata
- Download URL: htsexperimentation-0.1.46.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 |
380f6d21a151cf2cc4ab6316ee8911da14daecbc7bdd1f28e1883728a5da4806
|
|
| MD5 |
449440941a3d99b2fb6b67b619d9a8f0
|
|
| BLAKE2b-256 |
95259535babd76f0bb366d2417b9a9877305b85859ad7aa60cede71919af0566
|
File details
Details for the file htsexperimentation-0.1.46-py3-none-any.whl.
File metadata
- Download URL: htsexperimentation-0.1.46-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 |
7b8f9819fee06b992e74e8b422dff93abce106e962f86600ec1540cd996926d2
|
|
| MD5 |
62f9f14176cd24adba3b05cbffe53b27
|
|
| BLAKE2b-256 |
c3b96380b1b1762e780bef17fd19ad0e90018f8c6ef76ee835f69a1b75514908
|