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Gower-metric 1.0.0 documentation

  • Installation
  • User Guide
  • API Reference
  • External API Compatibility
  • Metric Description
  • Installation
  • User Guide
  • API Reference
  • External API Compatibility
  • Metric Description

Section Navigation

  • Core functionality
    • Metric
  • Distances
    • Binary asymmetric
    • Binary symmetric
    • Categorical nominal
    • Categorical ordinal
    • Numeric interval
    • Ratio scale interval
  • Utils
    • Categorical ordinal
    • KNN bandwidth
    • Missing values
    • Ranges
    • Convertion to numpy array
    • Validators
    • KDE Types
      • Silverman
    • Matrix
      • Calculate matrix
      • Convert matrix
  • Weights
    • Constant weight module
  • API Reference
  • Distances

Distances#

This module provides various distance metrics for different types of data.

Tip

To calculate the pairwise distances for the entire dataset, you can do it manually or use an auxiliary function, like: scipy.spatial.distance.pdist or sklearn.metrics.pairwise_distances.

  • Binary asymmetric
  • Binary symmetric
  • Categorical nominal
  • Categorical ordinal
  • Numeric interval
  • Ratio scale interval

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