can someone help me with the data processing ?
I need to run, analyze this data to make predictions through deep learning specifically LSTM layer
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Perhaps share your .rpm file and state what you want to do?
can you run it for me i just have data but dont know how to run it using deep learning model tensor specifically is LSTM layer 
By doing it yourself, only then you will learn. This community is to help learning.
here is my process but it said failed, i dont know what wrong in this process ((
((When you split train and test data, your FILTER EXAMPLE RANGE is empty because you used 1 - 249 which is the size of your dataset. Lower this number to half maybe. You can use the BREAKPOINT AFTER to see the result of the FILTER EXAMPLE RANGE. hth
And you also need to set the ID and the LABEL.
it still not wolking can you help me step by step with the pic below pleaseee
Using process2.rmp, do these:
1. Use GENERATE ID operator
2. Use SET ROLE operator
- set LABEL on the attribute you want to predict e.g. CLOSE
3. Change the FILTER EXAMPLE RANGE to half
1. Use GENERATE ID operator
2. Use SET ROLE operator
- set LABEL on the attribute you want to predict e.g. CLOSE
3. Change the FILTER EXAMPLE RANGE to half
Hi,
Use your file named process2.rmp and do these:
1. Add GENERATE ID operator
2. Add SET ROLE operator
- in the parameters, set the CLOSE attribute with the role LABEL (if CLOSE is what you want to predict)
3. Change the FILTER EXAMPLE RANGE to half
hth
Use your file named process2.rmp and do these:
1. Add GENERATE ID operator
2. Add SET ROLE operator
- in the parameters, set the CLOSE attribute with the role LABEL (if CLOSE is what you want to predict)
3. Change the FILTER EXAMPLE RANGE to half
hth
So how many neurons do I have to fill in here?
How many neurons depends on what you want to do. You can refer to other works that are similar to your subject.
hth
hth
Can you give me some suggestions about how many neurons ?
Honestly, I am not familiar with the subject. Perhaps try different runs of 5, 10, 20 neurons? I am just guessing here. hth
can you tell me what i can rely on to know which stock is better in the future
I suggest searching more on google scholar for latest research. This is really not my area of knowledge. hth
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When you split train and test data, your FILTER EXAMPLE RANGE is empty because you used 1 - 249 which is the size of your dataset. Lower this number to half maybe. You can use the BREAKPOINT AFTER to see the result of the FILTER EXAMPLE RANGE. hth
Using process2.rmp, do these:
1. Use GENERATE ID operator
2. Use SET ROLE operator
- set LABEL on the attribute you want to predict e.g. CLOSE
3. Change the FILTER EXAMPLE RANGE to half
1. Use GENERATE ID operator
2. Use SET ROLE operator
- set LABEL on the attribute you want to predict e.g. CLOSE
3. Change the FILTER EXAMPLE RANGE to half
Hi,
Use your file named process2.rmp and do these:
1. Add GENERATE ID operator
2. Add SET ROLE operator
- in the parameters, set the CLOSE attribute with the role LABEL (if CLOSE is what you want to predict)
3. Change the FILTER EXAMPLE RANGE to half
hth
Use your file named process2.rmp and do these:
1. Add GENERATE ID operator
2. Add SET ROLE operator
- in the parameters, set the CLOSE attribute with the role LABEL (if CLOSE is what you want to predict)
3. Change the FILTER EXAMPLE RANGE to half
hth
How many neurons depends on what you want to do. You can refer to other works that are similar to your subject.
hth
hth
Honestly, I am not familiar with the subject. Perhaps try different runs of 5, 10, 20 neurons? I am just guessing here. hth