"NewBe question: Converting CSV output to ExampleSet"
Hello,
I am just getting started with Rapidminer version 5.
I have a csv file, with 7 columns and a about 1000 rows of data. Within the process I added Import\Data\Read CSV. I then connect the Read CSV to the csv file of interest via the filename parameter. Then I added Modeling\Classification and Regression\Neural Net Training\Neural Net object and connect the two. When I run the example I receive the error message Input example set must have special attribute label. Fix Select an attribute whose role should be changed to label...
The csv file has one header row containing 7 labels. They are a combination of int, real numbers and one date field. I am not sure how to convey this information into csv file or into rapidminer itself. I see the fields label name, label column etc within the parameters but am not sure how I could use this to help me convert the csv output into an exampleSet.
Thanks in advance,
Cleo
I am just getting started with Rapidminer version 5.
I have a csv file, with 7 columns and a about 1000 rows of data. Within the process I added Import\Data\Read CSV. I then connect the Read CSV to the csv file of interest via the filename parameter. Then I added Modeling\Classification and Regression\Neural Net Training\Neural Net object and connect the two. When I run the example I receive the error message Input example set must have special attribute label. Fix Select an attribute whose role should be changed to label...
The csv file has one header row containing 7 labels. They are a combination of int, real numbers and one date field. I am not sure how to convey this information into csv file or into rapidminer itself. I see the fields label name, label column etc within the parameters but am not sure how I could use this to help me convert the csv output into an exampleSet.
Thanks in advance,
Cleo