Skip to main content

A Black Swan test package

Project description

HiggsML BlackSwan Package

you can install this package by

pip install HiggsML

The Package consists of 5 modules :

  • 1 ingestion: This module contains the Ingestion class which takes case of the ingestion process of the competition. i.e. loading data into the model, initialization of the model, prediction etc.
  • 2 datasets This module contains the Data class which has the train and test data in required formats, It loads the data according to the file format. it also contains function to make pseudo experiments.
  • 3 systematics This module has functions to add systematics to the data with based in Neusance parameter like
    • Tau Hadron Energy scale
    • Jet Energy Scale
    • Soft MET
    • W Background Normalisation
    • Overall Background Normalisation
  • 4 visualisation This module contains the Dataset_visualise class which has methods to help visualise the data

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

higgsml-0.0.0.tar.gz (16.0 kB view details)

Uploaded Source

Built Distribution

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

higgsml-0.0.0-py3-none-any.whl (16.9 kB view details)

Uploaded Python 3

File details

Details for the file higgsml-0.0.0.tar.gz.

File metadata

  • Download URL: higgsml-0.0.0.tar.gz
  • Upload date:
  • Size: 16.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.6

File hashes

Hashes for higgsml-0.0.0.tar.gz
Algorithm Hash digest
SHA256 e77ac18467429b1866b27827144865cad923148e0515a94ad510496b0f8b8d87
MD5 f0d905ff825c2f2e981892df6f36d1bc
BLAKE2b-256 63a761e1b7ca70053cf1ab44d69b0cfb9109eb38500ab612fdb1fcafa6591a91

See more details on using hashes here.

File details

Details for the file higgsml-0.0.0-py3-none-any.whl.

File metadata

  • Download URL: higgsml-0.0.0-py3-none-any.whl
  • Upload date:
  • Size: 16.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.6

File hashes

Hashes for higgsml-0.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d7c1ba36e89d924565cf6aba7f1c722f415cfb103c1896e48ee787b25c788127
MD5 31c423b45dd35f46c74775a37548de29
BLAKE2b-256 56242689e6eb1ce4f70ac6363ed56a331c89eb6c586e53a85ef7aac3d00fb400

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