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-0.3.127.tar.gz (25.6 kB view details)

Uploaded Source

Built Distribution

gpforecaster-0.3.127-py3-none-any.whl (33.3 kB view details)

Uploaded Python 3

File details

Details for the file gpforecaster-0.3.127.tar.gz.

File metadata

  • Download URL: gpforecaster-0.3.127.tar.gz
  • Upload date:
  • Size: 25.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for gpforecaster-0.3.127.tar.gz
Algorithm Hash digest
SHA256 87b2dd38dcfd43ee080826c7d2c6b4bd4283c1c1a73186176a86b102a939e4d4
MD5 581665360040e6970039157525d5b536
BLAKE2b-256 3d95292c8b0f48dfee648349d7f2121e845ee3fadccdc3540d4828ba627336a3

See more details on using hashes here.

File details

Details for the file gpforecaster-0.3.127-py3-none-any.whl.

File metadata

File hashes

Hashes for gpforecaster-0.3.127-py3-none-any.whl
Algorithm Hash digest
SHA256 9bdf64ec8f9f5fe0fb386218bfd51329fce4c95248080cc4b12053a7f59bd357
MD5 890ddaca58b901800a94d152c58de910
BLAKE2b-256 4799ae76d9fd214c8329a3b4315a2075d9d20f547ae5591d6d4541030f4583c1

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