Skip to main content

Hierarchical time series forecasting package to help analyze experiments

Project description

A package that allows you to analyze the results from experiments performed using a hierarchical time series forecasting algorithms

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

htsexperimentation-0.0.3.tar.gz (5.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

htsexperimentation-0.0.3-py3-none-any.whl (7.3 kB view details)

Uploaded Python 3

File details

Details for the file htsexperimentation-0.0.3.tar.gz.

File metadata

  • Download URL: htsexperimentation-0.0.3.tar.gz
  • Upload date:
  • Size: 5.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for htsexperimentation-0.0.3.tar.gz
Algorithm Hash digest
SHA256 8e05ace0367789371b95563a9f5afcbea21032c9a476c4192a8a3f74eb43c494
MD5 77db214915288874d6f3b307ff42fc42
BLAKE2b-256 7cffee15eef8eb48284d3e44ff0a42e05aa88ae2c7c2a2f13731065e046388b1

See more details on using hashes here.

File details

Details for the file htsexperimentation-0.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for htsexperimentation-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 1ebd191877cf156aadf6da063fc01e327a0a8f0ab57480879954c5d236b5d5fa
MD5 50e47409d369cf1ae66fe0f1a2e5acd7
BLAKE2b-256 7cf7d75512e6d05d7c684e661f2a78179f5685d5af8ecce864ce6a4828f0c8f8

See more details on using hashes here.

Supported by

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