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Probabilistic Causal Relations & Prototypes on Python

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Probconcepts — probabilistic formal concepts & prototypes (fix points) discovery

Capabilities

  • Automatic predicate extraction for binary and categorical features
  • Extraction of probabilistic causal relations (PCR) from data
  • Extraction of strongest PCR (SPCR) and most specific causal relations (MSCR)
  • Prototypes discovery based on MSCR

Installation

!git clone https://github.com/bayarpark/probconcepts.git
!pip install -r probconcepts/requirements.txt
from probconcepts import *

Article

E. Vityaev, B. Pak, Prototypes of the “natural” concepts discovery, Cognitive Systems Research 67, 1-8

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Probabilistic Causal Relations & Prototypes on Python

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