Hello Forum,
perhaps this is a stupid question, but I spend some time on it with searching for knime workflows etc.
I would like to train a neural network (e.g. Keras, DL Phython etc.).
In the provided workflow examples I found on knime platform, always the Table Reader Node ist used.
My problem is, that I have my data in an excel file. My perhaps (silly) simple question is, how can I read an xls-file (xls-reader node) and convert it to a table format, which can be read then from the Network learner.
The sheet in the excelfile is pretty simple. It is only one sheet with name “Tabelle1” and in the first row I have named column A with the name INPUT1, column B with INPUT2 …column E with INPUT5 and column F with OUTPUT1.
In the Excel reader node “XLS Reader Settings” I have clicked Column names “Table contains column names in row numner 1”
From row 2 downwards it is containing data (only number,figures, no strings).
I tried the following workflow without success
Excel Reader Node (XLS) directly connected to Table Writer Node.
This simple workflow runs without warnings successfully.
If I wan tto use the generated xxx.table file and connect it e.g. to Keras Network Learner, I got the message
“The dialog cannot be opened for the following reason: Input table is missing or has no columns”.
Can somebody provide me with a simple workflow to solve this issue?
Many thanks upfront!
Bernd