Welcome to dummyML’s documentation!

The dummyML Python package implemented all the components, data preprocessing, data splitting, model selection, model fitting and model evaluation, required for defining pipelines to do automatic data analysis using some most commonly used machine learning algorithms.

Contents:

• Installation
  • Requirements
  • Install
• Getting Started
  • Automatic data analysis pipeline
  • Semi-automatic data analysis
  • Explore the saved results
• User Guide
  • A general introduction
  • Read and summarize the raw data
  • Data splitting
  • Data preprocessing
  • Select and fit the models
  • Evaluate the selected models using multiple metrics
  • Saved data report, preprocessed data and saved models
• Testing
• Credits
• Citation

Indices and tables

• Index

• Module Index

• Search Page