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Please link all files for which you're creating links in the description, and limit the PR to a single class (or group of a class if there are classification and regression for the same algorithm)

Will update the PR description to contain all the files for which the links have been created.

limit the PR to a single class (or group of a class if there are classification and regression for the same algorithm)

Does this mean that separate PRs should be created for BernoulliRMB and a single PR for SGDOptimizer and AdamOptimizer since they are both related?

To simplify the PR, you can take a single example and then put link in different places wherever relevant. then it'd be okay if it touches multiple classes.

@adrinjalali on further digging through the code, I notice that the MLPClassifier class has been referenced in multiple examples, in such a scenario what should be done?

I double checked the references for BernoulliRBM and only the plot_rbm_logistic_classification.py references them

I was also not able to find any other refs for SGDOptimizer and AdamOptimizer apart from their mention in sklearn/neural_network/_stochastic_optimizers.py.

Please let me know if I am missing more references.

Thanks for the comments @adrinjalali I've resolved all of them with the latest commit

I've updated the code as per the new suggestions

@adrinjalali linter is failing since we use assert type(expected_report["setosa"]["precision"]) == float to check types and it is recommending we use isinstance(). Can I open a PR which aims to fix this linting issues?

@punndcoder28 would you like to continue working on this PR?

Apologies, the comments did not notify me. Will update the PR again