Goal: produce X and y numpy arrays to give train and test some machine learning model. Shapes will be (batch_size,N)(batch_size,M) where N is the number of truth table attributes and M is the number of object table attributes. The DC2-analysis tutorial notebooks should provide the needed code for accessing the data (thanks, DATF! :-) )
Goal: produce
Xandynumpy arrays to give train and test some machine learning model. Shapes will be(batch_size,N)(batch_size,M)whereNis the number of truth table attributes andMis the number of object table attributes. The DC2-analysis tutorial notebooks should provide the needed code for accessing the data (thanks, DATF! :-) )