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  • Introduction

Quick Start

  • Classification
  • Regression
  • Clustering

Classification

  • Evaluation
  • Comparison
  • Optimization
  • Experiment tracking
  • Report generation
  • Evaluating class imbalance
  • Probability Calibration
  • Report: Evaluation
  • Report: Comparison
  • Interactive Confusion Matrix
  • Micro and Macro Averaging

Regression

  • Evaluate Regression

Clustering

  • Optimal number of clusters

Model comparison

  • Experiment tracking
  • Real-time tracking
  • Notebooks as experiments
  • Querying notebooks with SQL

Model optimization

  • Feature Ranking
  • Feature Selection
  • Underfitting and Overfitting

Dimensionality Reduction

  • Principal Component Analysis

API Reference

  • sklearn_evaluation.plot
  • sklearn_evaluation.table
  • sklearn_evaluation.grid
  • ClassifierEvaluator
  • Training
  • Experiment tracking
  • Notebooks

Reference

  • Functional vs OOP
  • Advanced usage using matplotlib
  • Other projects
  • Community
  • Developer guide
  • Developer API
  • Repository
  • Open issue

Python Module Index

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- sklearn_evaluation
    sklearn_evaluation.training.selector

By Ploomber

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