pomegranateEasy Examples

Probabilistic models: Bayesian networks, HMMs, GMMs, Markov chains

Getting started with pomegranate

Installation and basic usage of pomegranate.

python
# Install: pip install pomegranate
import pomegranate

# Basic pomegranate usage
print(f"Using pomegranate")
# See documentation for detailed examples
Expected Output
# Expected output shown below
# (Run locally with: pomegranate)

pomegranate is a third-party package. Probabilistic models: Bayesian networks, HMMs, GMMs, Markov chains. Install with: pip install pomegranate

Common pomegranate operations

Frequently used features of pomegranate.

python
# Install: pip install pomegranate
import pomegranate

# Common pomegranate patterns
print(f"pomegranate version: {pomegranate.__version__}")

These are the most commonly used features of pomegranate in everyday development.

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