Hierarchical time series forecasting model using Gaussian Processes
Project description
A package that allows you to forecast time series datasets with some type of hierarchical structure. The algorithm is implementedusing PyTorch
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
gpforecaster-0.3.13.tar.gz
(12.9 kB
view details)
Built Distribution
File details
Details for the file gpforecaster-0.3.13.tar.gz
.
File metadata
- Download URL: gpforecaster-0.3.13.tar.gz
- Upload date:
- Size: 12.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | defca28151fc7992bd281a458576ecc16ec1a46983fd76cb1177d87f5024e911 |
|
MD5 | 4c6715f8b59ac0691715c7941bd3bbb5 |
|
BLAKE2b-256 | 68578ac26a5914b9eb2d201b884908e683575b0f86223a09ab29fe113d3e14eb |
File details
Details for the file gpforecaster-0.3.13-py3-none-any.whl
.
File metadata
- Download URL: gpforecaster-0.3.13-py3-none-any.whl
- Upload date:
- Size: 17.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 67f9f994c2f27781fb66fd5bb47dcba852c8af45b97607fd0ce130162217569f |
|
MD5 | 6db5765d2dd0f39f25fb06f1f89508ec |
|
BLAKE2b-256 | 7547a6962578a1d65df686690bf16cb54ebbdd01ebcd199d22d97fcaf5481689 |