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Question on large number of attributes
I am new to RM
I would like to initiate a project to produce a neural network.
Training data each instance has 10 parameters, each parameter have value from a pool of 500 non-English phrases. There would be thousands of instances with each instance on a line in Excel.
My first thinking is to change these into 500 variables with true/false to show existence of each phrase.
I am not sure this is the correct way of thinking, and I am wondering RM can handle this vast amount of parameters. And does RM support non-English text? I believe it is in Unicode (I am not very familiar with this also).
Appreciate anyone can point me the direction, or answer my concerns.
Thanks in advance
I would like to initiate a project to produce a neural network.
Training data each instance has 10 parameters, each parameter have value from a pool of 500 non-English phrases. There would be thousands of instances with each instance on a line in Excel.
My first thinking is to change these into 500 variables with true/false to show existence of each phrase.
I am not sure this is the correct way of thinking, and I am wondering RM can handle this vast amount of parameters. And does RM support non-English text? I believe it is in Unicode (I am not very familiar with this also).
Appreciate anyone can point me the direction, or answer my concerns.
Thanks in advance
0
Answers
This sound like a good idea. This process shows you how to do that: RM does support different encodings. You can set the encoding style wiht the "encoding" parameter in many Read operators.
I hope I could help you,
Ciao Sebastian