Skip to main content

A convenient package for applying machine learning workflows with a Streamlit app, generating Excel outputs and visualizations.

Project description

spml2-mltools

Python package PyPI - Full Versions PyPI Status Python 3.10+

Overview

spml2-mltools is a convenient package for applying machine learning workflows with a Streamlit app, generating Excel outputs, and visualizations.


Installation

pip install spml2-mltools

Quick Start

1. Initialize Example Files

spml2 init
# Creates:
# - spml2_main.py
# - options_user.py
# - models_user.py

You can also use:

spml init

2. Run Classification

python spml2_main.py

3. Launch the Web UI

spml2 web

You can also use:

spml web

Features

  • Streamlit-based web runner
  • ROC curve visualization
  • Feature importances
  • SHAP graphs
  • Excel output generation

Documentation


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

spml2_mltools-1.0.41.tar.gz (22.4 kB view details)

Uploaded Source

Built Distribution

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

spml2_mltools-1.0.41-py3-none-any.whl (30.7 kB view details)

Uploaded Python 3

File details

Details for the file spml2_mltools-1.0.41.tar.gz.

File metadata

  • Download URL: spml2_mltools-1.0.41.tar.gz
  • Upload date:
  • Size: 22.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.13

File hashes

Hashes for spml2_mltools-1.0.41.tar.gz
Algorithm Hash digest
SHA256 bf3f22aa6968b03877283b2eeeb66c6c80eb6d54f52ef7e2de502ba2f476af17
MD5 01afc683d8b502b1dd0c27235548d82c
BLAKE2b-256 738eeb414969d7e66e18c48e0d8e9501a82924153ae2868530a27fce71bece46

See more details on using hashes here.

File details

Details for the file spml2_mltools-1.0.41-py3-none-any.whl.

File metadata

  • Download URL: spml2_mltools-1.0.41-py3-none-any.whl
  • Upload date:
  • Size: 30.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.13

File hashes

Hashes for spml2_mltools-1.0.41-py3-none-any.whl
Algorithm Hash digest
SHA256 79dc19c3a575d8d80f85e7856cfe2d50734ac4a7b8dfff32fa48018751adc909
MD5 fc52e0373f452acde618be68518e0cc5
BLAKE2b-256 8c23a642cc8fe7a5b6e6e34c4df2c62353487d6e85aed1c502a4dae4039cb2ee

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