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-0.3.27.tar.gz (15.8 kB view details)

Uploaded Source

Built Distribution

gpforecaster-0.3.27-py3-none-any.whl (22.7 kB view details)

Uploaded Python 3

File details

Details for the file gpforecaster-0.3.27.tar.gz.

File metadata

  • Download URL: gpforecaster-0.3.27.tar.gz
  • Upload date:
  • Size: 15.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.1

File hashes

Hashes for gpforecaster-0.3.27.tar.gz
Algorithm Hash digest
SHA256 6beb700fb8c1c08bbc9d1620ce223557bc05b8cb6e97d6a3f0430adf17556346
MD5 cbb65c4ab3d55a2cc0d3f15184bc2fee
BLAKE2b-256 6e779995454b671d434de508074693424712cb9fe40127205d1b2ebb22b62bd1

See more details on using hashes here.

File details

Details for the file gpforecaster-0.3.27-py3-none-any.whl.

File metadata

File hashes

Hashes for gpforecaster-0.3.27-py3-none-any.whl
Algorithm Hash digest
SHA256 bd050b4d2492a2a1246f69fb785ed36d9c47b1fd89f63983ca4c039e590f52cb
MD5 46144a997aae80abf2046d4521afecc1
BLAKE2b-256 a1cc17178da8741661a91f97f07abde16d06f1be15332a4bb32ff1de77f400fc

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