Multiple Label Prediction
First let me apologize, I'm new to Rapid Miner and I'm sure what I'm about to ask is a simple question...
Basically what I'm trying to do is create and test various modeling methods for multi-attribute data. i.e. I have imported an Excel spreadsheet with six inputs and three outputs (labels?), and I would like to look at the predictions made by various models for these three outputs, based on the training data. All three outputs are a normalized distribution. The problem I'm encountering is that I can't seem to assign multiple labels to my data set. Any suggestions/examples on how to do this?
Here's an example of the data, the last three being the numbers I'm trying to predict. All inputs are are "real" values ranging from -1 to 1, and all outputs are real values ranging from 0 to 1...
1,0.01480111,-0.719155878,0.2,-0.4,-0.5,0,1,0
Thanks in advance.
-M
Basically what I'm trying to do is create and test various modeling methods for multi-attribute data. i.e. I have imported an Excel spreadsheet with six inputs and three outputs (labels?), and I would like to look at the predictions made by various models for these three outputs, based on the training data. All three outputs are a normalized distribution. The problem I'm encountering is that I can't seem to assign multiple labels to my data set. Any suggestions/examples on how to do this?
Here's an example of the data, the last three being the numbers I'm trying to predict. All inputs are are "real" values ranging from -1 to 1, and all outputs are real values ranging from 0 to 1...
1,0.01480111,-0.719155878,0.2,-0.4,-0.5,0,1,0
Thanks in advance.
-M
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What if the outputs are dependent on each other
My Scenario
The model should take a set of inputs as a single vector and give output as a single vector. This single vector of three outputs then needs to be fed to the next stage. So looping might not
Theoretically K-NN should be able to able to predict vectors.
So is there a way to makr multiple labels at the same time instead of looping through the process three time. Interdependencies could be lost
Please suggest
Thanks
this is the wrong place. Please post questions like this in the "Data Mining / ETL / BI Processes" board of this forum. I have this topic moved there for you.
The solution is quite simple: Just name those three columns with a number from 1 to 3 in it, for example "label1", "label2", and "label3". You can then iterate through your process and setting the role for each of the labels on the fly with the "Set Role"-operator.
Cheers,
Ingo