phik · PyPI
Jul 17, 2025 · Phi_K is a practical correlation constant that works consistently between categorical, ordinal and interval variables. It is based on several refinements to Pearson’s …
Phi_K Correlation Constant — Phi_K correlation library …
Phi_K is a practical correlation constant that works consistently between categorical, ordinal and interval variables. It is based on several refinements to Pearson’s hypothesis test of …
GitHub - KaveIO/PhiK: Phi_K correlation analyzer library
Phi_K is a practical correlation constant that works consistently between categorical, ordinal and interval variables. It is based on several refinements to Pearson's hypothesis test of …
Phik (𝜙k) – get familiar with the latest correlation coefficient
Aug 8, 2021 · Phik (𝜙k) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and …
phik_tutorial_basic.ipynb - Colab
The phik-package offers a way to calculate correlations between variables of mixed types. Variable types can be inferred automatically although we recommend variable types to be …
Phi-K Correlation Coefficient | evoML Docs
The Phi-K Correlation Coefficient (Phi-K) is a statistical metric designed to measure the strength and significance of relationships between features. It is versatile, allowing comparisons …
piwheels - phik
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phik package — Phi_K correlation library documentation
Project: PhiK - correlation analyzer library. Created: 2018/09/06. A set of rebinning functions, to help rebin two lists into a 2d histogram. Redistribution and use in source and binary forms, …
The PhiK analysis library is particularly useful in modern-day analysis when studying the dependencies between a set of variables with mixed types, where often some variables are …
phik_tutorial_advanced.ipynb - Colab
The phik-package offers a way to calculate correlations between variables of mixed types. Variable types can be inferred automatically although we recommend to variable types to be …