converters the probs into np array if its already not

[sai-krishna-msk]

smile_imbalance() funciton argument "probs" does not specify that it is required to be numpy array, but it does so i have added that data type in the argument letting the user know if he/she is to refer to the docs and i have also added a line np.array() which is an idempotent operation(if the array passed is already numpy array then it does nothing but if its not it changes the list into numpy array)

Suggestion

• If possible can you guys consider adding "save_plot_path" method to each function, so that when this package is used in production (which i am and people considering Continuous model delivery would use) all these plots could be saved to a particular directory for data scientists to look at later since in production, code would be used in scripts running on EC2 or other cloud servers and not on jupyter notebooks
• My use case is I am retraining the model every week and XAI allows me to generate a evaluation report allowing me to remotely decide weather to push this weeks mode into production
• I considered adding it myself but i was not sure if this is the direction you guys wanted to take

Thank you

[axsaucedo]

Thank you for the contribution @sai-krishna-msk - looks good. In regards to your suggestion, it seems inerseting, are you currently saving the charts manually or how do you achieve this?

[sai-krishna-msk]

Thank you for the contribution @sai-krishna-msk - looks good. In regards to your suggestion, it seems inerseting, are you currently saving the charts manually or how do you achieve this?

Hi @axsaucedo , yeah I'm using mlflow to log all the metrics and plots(so though the training happenes on a remote server I can view the results)

For now I've just downloaded this repository and made necessary changes suitable to my project, but yeah I was wondering maybe other people might also have this requirement