Jim-smith

Hi, is there a particular reason that this repo is stuck with a version of numpy (1.21) that is not compatible with python 11? - According to the numpy docs...

Need to increase the visibility of the user stories

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Hi all, perhaps especially @yolaj-nhs if you have capacity. I had an ... interesting discussion with one of our TREs yesterday who said the first they had known about the...

Maybe even phase out safekeras since tensorflow privacy is so dependent on out of data packages

line 126/128, error is comparison between NoneType and float for optional parameters. Fix is to test whether param is none first and take appropriate action. Will be true for max_deth...

we currently report the ratio of the proportion of training records that. are vulnerable to the proportion of test records that are vulnerable if we're to. take the logarithm of...

- but should make sure it warns user that what they are doing is risk and usually unnecessarily so - warning should tell user how to apply constraints if they...

Add support for RUNS metric

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Basic idea: dataset D split into training set Tr and test set Te 1. concatenate train and test sets (so the top |Tr| records come from the training set and...

At moment we effectively run a worst-case attack where a simulated attacker has the model which outputs probabilities, and has a record with the target label and with just the...

Sub-class of safeModelClassifier: - needs parameter recommendations. from @rpreen 's results - ideally should implement the k-anonymity reporting functionality - but recognise I don't know if their forest/tree structure is...

Check for user adding attribute before callling fit() in safe models

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probably need to create a list of what attributes are expected to be present then simply check keys in self.__dict__ against that list