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-1.0.34.tar.gz (21.4 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-1.0.34-py3-none-any.whl (28.2 kB view details)

Uploaded Python 3

File details

Details for the file spml2_mltools-1.0.34.tar.gz.

File metadata

  • Download URL: spml2_mltools-1.0.34.tar.gz
  • Upload date:
  • Size: 21.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.13

File hashes

Hashes for spml2_mltools-1.0.34.tar.gz
Algorithm Hash digest
SHA256 7c6c7a1adf851060790b3cfa3dc2b951d74a95191ec7f729d81c028246f9baf1
MD5 9a1092e511455b44466c51a67ba0a83e
BLAKE2b-256 9887d297f017167adc0c1301ead41cd8da3e8979e13ee803611f15e177c86f4d

See more details on using hashes here.

File details

Details for the file spml2_mltools-1.0.34-py3-none-any.whl.

File metadata

  • Download URL: spml2_mltools-1.0.34-py3-none-any.whl
  • Upload date:
  • Size: 28.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.13

File hashes

Hashes for spml2_mltools-1.0.34-py3-none-any.whl
Algorithm Hash digest
SHA256 777d2b4f0ba685c9d5a847935c6de376adb87fd1783308faea643584ece6db68
MD5 8f8b059dea129c0829015d12ca52c741
BLAKE2b-256 0f3fdc3405310a5fbc93e8a00c3b2ab1ef1baabf9ca4576cbfac15d5fe498c40

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