Nikos Ntampakis

@momegas what do you mean data monitoring pipelines? Is any of the existing pipelines of whitebox a data monitoring one? Do we have to create some data monitoring pipelines? If...

This is a bit blur for me @stavrostheocharis . Can you please elaborate? No need for S3 connection is required for level0 of confidence.

Some thoughts also from me regarding the above points: 1. Correct. I don't know if they or we have to copy something, but in any case we need a way...

Based on my investigation till now mlflow is capable of saving/tracking the followings per different experiments: 1. **artifacts**: Mainly requirements in a yaml file and dependencies. Here we can find...

The hyper-parameters tuning is pretty easy to be performed using [Gridsearch](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html). There are some questions thought: - Do you believe that there is a time threshold (e.g. not take more...

Having some discussions with @stavrostheocharis , we concluded that the requirements of this task are still pretty blurry. I will try to simplify them with some simple questions below, so...

Sure I can close the ticket @momegas . Before do it, I want to remind to both you and @stavrostheocharis that by not exploring combinations in order to increase the...

We should explore alternatives like https://optuna.org/ here.

@stavrostheocharis and @sinnec as you asked for a further description. In the src->cron_tasks->monitoring_metrics.py you can find the following function: `async def run_calculate_feature_metrics_pipeline( model: Model, inference_processed_df: pd.DataFrame ): """ Run the...

@stavrostheocharis I suggest to discuss it all together on Monday. What do you think?