From d76fd9f5a13e07d897853e334e16b4bda98300cd Mon Sep 17 00:00:00 2001 From: aadya940 Date: Fri, 16 Aug 2024 22:07:07 +0530 Subject: [PATCH] typo fix --- JOSS/paper.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/JOSS/paper.md b/JOSS/paper.md index 55faf2d..8a08e9a 100644 --- a/JOSS/paper.md +++ b/JOSS/paper.md @@ -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: @@ -98,7 +98,6 @@ the original `MarkovChain` object and those generated by `MarkovChainNeuralNetwo ## 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