hiclass
v4.9.0
  • Introduction
  • Get Started
  • Gallery of Examples
    • BERT sklearn
    • Hello HiClass
    • Different Number of Levels
    • Binary Training Policies
    • Using Hierarchical Multi-Label Classification
    • Model Persistence
    • Building Pipelines
    • Parallel Training
    • Explaining Local Classifier Per Node
    • Explaining Local Classifier Per Parent Node
  • Algorithms Overview
  • API reference
hiclass
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  • Gallery of Examples
  • Edit on GitHub

Gallery of Examples

These examples illustrate the main features of HiClass.

BERT sklearn

BERT sklearn

Hello HiClass

Hello HiClass

Different Number of Levels

Different Number of Levels

Binary Training Policies

Binary Training Policies

Using Hierarchical Multi-Label Classification

Using Hierarchical Multi-Label Classification

Model Persistence

Model Persistence

Building Pipelines

Building Pipelines

Parallel Training

Parallel Training

Explaining Local Classifier Per Node

Explaining Local Classifier Per Node

Explaining Local Classifier Per Parent Node

Explaining Local Classifier Per Parent Node

Download all examples in Python source code: auto_examples_python.zip

Download all examples in Jupyter notebooks: auto_examples_jupyter.zip

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© Copyright 2022, Fabio Malcher Miranda, Niklas Köhnecke. Revision 2fe8480b.

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