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-0.3.85.tar.gz (21.8 kB view details)

Uploaded Source

Built Distribution

gpforecaster-0.3.85-py3-none-any.whl (28.1 kB view details)

Uploaded Python 3

File details

Details for the file gpforecaster-0.3.85.tar.gz.

File metadata

  • Download URL: gpforecaster-0.3.85.tar.gz
  • Upload date:
  • Size: 21.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for gpforecaster-0.3.85.tar.gz
Algorithm Hash digest
SHA256 ef920c8f95b13c61583c6fec6d012623601b976ef12c0f5696b4d16cdbb8b8e1
MD5 35e67dbc455f89d03abbba634c4c73cc
BLAKE2b-256 6d7d91c4823a3d864e2fcb34fd8a943cc7d1b14b061e2810d04bea6b1fc3c20d

See more details on using hashes here.

File details

Details for the file gpforecaster-0.3.85-py3-none-any.whl.

File metadata

File hashes

Hashes for gpforecaster-0.3.85-py3-none-any.whl
Algorithm Hash digest
SHA256 f9eeaeee231bf300f50e794401a8aa6da947b701bb3594938a54dec1aa8cae71
MD5 211c971793895c2fe5c47bd5a6417e09
BLAKE2b-256 e069389d8724b456139e733059b8d55362634c78a3e9aedf58fbd16747dcc299

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