Skip to main content

Convenient functions that are commonly used for running machine learning experiments.

Project description

Experiment Utils

Convenient scripts and functions that are commonly used in code for running experiments, specifically machine learning experiments.

The main components are:

  • io: nest namespaces in argparse, ease of saving JSONs, default arg parser, logging, and eventually profiling helpers (e.g. runtime at least)
  • data: kfold cv wrapper and abstract data class
  • visuals: Visualization scripts for common plots via pyplot

TODO

  • Add general configuration file handling and connect to the default initial argparser.
    • support yaml and JSON
  • Improve the NestedNamespace creation process so it is simpler and streamlined.
    • the user does not need to specify dest
    • the nested namespaces have args mutually exclusive only to their current namespace (node in the namespace tree), allowing separate namespaces to use the same argument name as another.
      • This requires the command line interface to provide the argparse namespace identifier when the user supplies arguments. e.g. path from top level namespace to the node of the nested namespace whose args are being modified.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

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

exputils_test-0.1.0-py3-none-any.whl (21.1 kB view details)

Uploaded Python 3

File details

Details for the file exputils_test-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: exputils_test-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 21.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/0.0.0 pkginfo/1.6.0 requests/2.24.0 setuptools/50.3.0.post20201006 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5

File hashes

Hashes for exputils_test-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c5084dccce6d69507d808fe2ce775b8fbbce15a496907fc5207adf4151350749
MD5 50096d650c8ffdfb6c9da82ad8d945f4
BLAKE2b-256 7c45e7ef38d7317294e783a61ae09feeb964f07245735c2c25c27ccd9c6e24be

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