Skip to main content

A library containing machine learning exam experiments such as SVM and Random Forest on the Iris dataset.

Project description

examml

examml is a Python library containing machine learning exam programs such as SVM and Random Forest experiments on the Iris dataset.

Installation

pip install examml

Usage

from examml import exp2

exp2.run_experiment()

This will train and evaluate both SVM and Random Forest models, displaying confusion matrices.

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

examml-0.1.0.tar.gz (2.9 kB view details)

Uploaded Source

Built Distribution

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

examml-0.1.0-py3-none-any.whl (3.6 kB view details)

Uploaded Python 3

File details

Details for the file examml-0.1.0.tar.gz.

File metadata

  • Download URL: examml-0.1.0.tar.gz
  • Upload date:
  • Size: 2.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for examml-0.1.0.tar.gz
Algorithm Hash digest
SHA256 749c4bf1b70b55894b420283300b248e4ab17080f415d04708cf3e434db34c4e
MD5 8c4654bc72a34b8724abc41e97cef55d
BLAKE2b-256 c9d94423a2a7b7322e3c803021dd0cb42ae0720fd12207a34e510fae7346d817

See more details on using hashes here.

File details

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

File metadata

  • Download URL: examml-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 3.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for examml-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 81595b22d1395a9b9b1dabaf7b44a97f0f75fb80ea45ea2ef6a6ca8852d54a6d
MD5 98f083cd588e80379abbb8e474b98998
BLAKE2b-256 7d7a7bb790ff5b3e8f0ae3bf5f26b5066d17057d4810d12b3abef27cdb7e5b0e

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