hybrid_learning
Content
Quickstart Guide
User Guide
Overview
Concept Analysis Tooling
Dataset Tooling
Framework for Fuzzy Logic Rule Definition
Experimentation Utils
Using a concept model to find an embedding
Conducting a Concept Analysis
Extending DNN model outputs
Custom dataset handles
Fuzzy Logic Operations
API Reference
How to contribute
hybrid_learning
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User Guide
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Overview
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Overview
The following pages collect an overview over the available functionalities.
Contents:
Concept Analysis Tooling
Analysis Handles
Concept and Concept Embedding Modelling
Intermediate Output Retrieval and Model Extension
Training and Validation
Dataset Tooling
Base dataset handles
Custom dataset handles
Caching handles
Transformations
Visualization and Utility Functions
Framework for Fuzzy Logic Rule Definition
Base Classes
Standard Fuzzy Logics
Parsing
Standard Connectives
Standard Quantifiers
Predicates
Experimentation Utils