Skip to main content

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-0.3.58.tar.gz (19.8 kB view details)

Uploaded Source

Built Distribution

gpforecaster-0.3.58-py3-none-any.whl (26.3 kB view details)

Uploaded Python 3

File details

Details for the file gpforecaster-0.3.58.tar.gz.

File metadata

  • Download URL: gpforecaster-0.3.58.tar.gz
  • Upload date:
  • Size: 19.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for gpforecaster-0.3.58.tar.gz
Algorithm Hash digest
SHA256 4c9b60ee0a041a443176a502f83dab0750b66e8c4364ea693e51698eff6d0e1b
MD5 f9e19f5b5bea19ba50f47157d69ea081
BLAKE2b-256 08969139534671d2cc03648dfdedc385677be3ca6780b0c46a5a94ba719aa4e6

See more details on using hashes here.

File details

Details for the file gpforecaster-0.3.58-py3-none-any.whl.

File metadata

File hashes

Hashes for gpforecaster-0.3.58-py3-none-any.whl
Algorithm Hash digest
SHA256 104d7218d03bde0bb9956293a3f6e2a2bf43a42944b659d65f0120fecd5dc9a3
MD5 919bfead5fa86fc2845cd3c47ec450bc
BLAKE2b-256 35b1b7f2926393b0a690ee1821b99868781a40359a5e1a4f0d5bff0b2ccc9bb1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page