Hi, for this data transformation task, an approach could be to use 'Select Columns in Dataset' and 'Join Data' modules to combine the data and then use 'Execute Python/R Script' to perform other data transformation tasks. You may also directly feed the data from 'Score Model module' to 'Execute Python/R Script' module and perform data transformations.
Microsoft Azure ML : How can I add multiple score labels
Mohamed elham
1
Reputation point
Hello all,
I created an experiment in Azure ML.:
** 10 columns used as features;
** 03 columns required to be predicted via Azure ML experiment => 3 components prices to predict!
What I did : My experiment has been divided into 3 modules that deliver each a "score label"
At the end of the process, how can I merge/add these 3 score labels into one only column:
** total price = price component 1 + price component 2 + price component 3.
** And multiply this total value by another column (from the dataset) so that I get only 1 score label.
Regards,
Mohamed.