sklearn-viz
0.6.9

Contents:

  • Installation
  • Quick Start Guide
  • Example Gallery
    • Parallel Coordinates
    • Plot Residuals
    • Multi-Plots for Sphinx
    • Principal Component Analysis
    • Compare Multiple N-D datasets
    • Learning Curve
    • Feature importances with a forest of trees
    • Multivariate Outlier Detection
    • Category Feature Analysis
    • Model Selection
    • Partition Estimator
  • API Reference
  • License
sklearn-viz
  • Example Gallery
  • View page source

Example Gallery

This gallery provides some examples.

Parallel Coordinates

Parallel Coordinates

Parallel Coordinates
Plot Residuals

Plot Residuals

Plot Residuals
Multi-Plots for Sphinx

Multi-Plots for Sphinx

Multi-Plots for Sphinx
Principal Component Analysis

Principal Component Analysis

Principal Component Analysis
Compare Multiple N-D datasets

Compare Multiple N-D datasets

Compare Multiple N-D datasets
Learning Curve

Learning Curve

Learning Curve
Feature importances with a forest of trees

Feature importances with a forest of trees

Feature importances with a forest of trees
Multivariate Outlier Detection

Multivariate Outlier Detection

Multivariate Outlier Detection
Category Feature Analysis

Category Feature Analysis

Category Feature Analysis
Model Selection

Model Selection

Model Selection
Partition Estimator

Partition Estimator

Partition Estimator

Download all examples in Python source code: auto_examples_python.zip

Download all examples in Jupyter notebooks: auto_examples_jupyter.zip

Gallery generated by Sphinx-Gallery

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© Copyright 2023, Greg Elphick.

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