Naoise Holohan

Hi there, It seems that the logistic regression model does indeed give a binary 0 or 1 output when using predict_proba in some instances, however there are occasions when a...

We are in the process of re-engineering the Random Forest classifier in diffprivlib, and have looked at your issue again. The DP implementation of random forest that we have used...

This is something we've been looking to implement, but there are a number of knock-on effects that we need to be wary of. Implementing a seeding on mechanisms would be...

Yes, it's also my understanding that RNGs are seeded at random when a seed isn't provided (such as, with the timestamp in milliseconds). In this case we may get correlation...

Hi Joao, Can you add the parameter `cat_feature_threshold=1` at initialisation, and re-run the model? If it is still not working, can you please print out `clf3.feature_domains_` and post its output...

Hi, the issue here is how categorical variables are treated. If a feature is classed as categorical, but the test and training datasets differ in the categorical values they have...

> > Hi, the issue here is how categorical variables are treated. If a feature is classed as categorical, but the test and training datasets differ in the categorical values...

Hello everyone, We have been re-engineering the implementation of RandomForestClassifier in #70 which should address the issues you have described here. The updated model requires a numerical array to be...

> out of curiosity, what is the parameter that you want to set to such a big int ? I was trying to seed a `random_state` as per [Numpy's guidelines](https://numpy.org/doc/1.25/reference/random/bit_generators/generated/numpy.random.SeedSequence.html#numpy.random.SeedSequence),...