autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset with known outcomes (labels) and it returns a list of predicted outcomes for your new data. It even estimates the precision for you! The engine is tuning massively parallel ensemble of machine learning pipelines for best precision/recall.
CSV is a bit tricky because it does not have data type metadata. So in order to take that in we will have to guesstimate that or get this metadata in some other way. The default way would be to as the user to specify this information but then it won't be "zeroconf" anymore.
One way of approaching this would be https://github.com/bashalex/datapot
CSV is a bit tricky because it does not have data type metadata. So in order to take that in we will have to guesstimate that or get this metadata in some other way. The default way would be to as the user to specify this information but then it won't be "zeroconf" anymore. One way of approaching this would be https://github.com/bashalex/datapot