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aadya940 committed Aug 16, 2024
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Expand Up @@ -39,7 +39,7 @@ The `MarkovChainNeuralNetwork` implementation defines a neural network model, us

### Documentation, Testing and Benchmarking

For documentation we use Sphinx. For yesting and benchmarking we use the Pytest and PyDTMC [@pydtmc] packages.
For documentation we use Sphinx. For testing and benchmarking we use the Pytest and PyDTMC [@pydtmc] packages.

The results are as follows:

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## Conclusion

In conclusion, ChainoPy offers a Python library for discrete-time Markov Chains and includes features for Markov Chain Neural Networks, providing a useful tool for researchers and practitioners in stochastic analysis with efficient
performance.
In conclusion, ChainoPy offers a Python library for discrete-time Markov Chains and includes features for Markov Chain Neural Networks, providing a useful tool for researchers and practitioners in stochastic analysis with efficient performance.

## References

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