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-0.1.15.tar.gz
(12.1 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-0.1.15.tar.gz.
File metadata
- Download URL: htsexperimentation-0.1.15.tar.gz
- Upload date:
- Size: 12.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
82d37d86ceeecd9271fe6f1c2ed0c77be5c62d9c860070bcf7829b38f69dac36
|
|
| MD5 |
6892b013393217d07c381c632072054e
|
|
| BLAKE2b-256 |
fbedac69beec3cbe833fb6b8a454395151b394faf30deaf4678ee001150465f5
|
File details
Details for the file htsexperimentation-0.1.15-py3-none-any.whl.
File metadata
- Download URL: htsexperimentation-0.1.15-py3-none-any.whl
- Upload date:
- Size: 16.3 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 |
1494fd798a22f734fa34efed776e7288a81f77242f9ccff93774d5be6c5bacd6
|
|
| MD5 |
79e3de8c926e279fa68f1e7abf1aca38
|
|
| BLAKE2b-256 |
025d16361955b79b2fb39c60d08b7f428ad0bbd128da1157a64385d4da76d117
|
