can someone help me with the data processing ?
tranductrung
New Altair Community Member
I need to run, analyze this data to make predictions through deep learning specifically LSTM layer
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Best Answers
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Perhaps share your .rpm file and state what you want to do?0
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By doing it yourself, only then you will learn. This community is to help learning.0
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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. hth0
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And you also need to set the ID and the LABEL.0
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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 half0 -
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
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How many neurons depends on what you want to do. You can refer to other works that are similar to your subject.
hth0 -
Honestly, I am not familiar with the subject. Perhaps try different runs of 5, 10, 20 neurons? I am just guessing here. hth0
Answers
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Perhaps share your .rpm file and state what you want to do?0
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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
0 -
By doing it yourself, only then you will learn. This community is to help learning.0
-
-
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. hth0
-
And you also need to set the ID and the LABEL.0
-
-
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 half0 -
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
0 -
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How many neurons depends on what you want to do. You can refer to other works that are similar to your subject.
hth0 -
Can you give me some suggestions about how many neurons ?
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Honestly, I am not familiar with the subject. Perhaps try different runs of 5, 10, 20 neurons? I am just guessing here. hth0
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can you tell me what i can rely on to know which stock is better in the future0
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I suggest searching more on google scholar for latest research. This is really not my area of knowledge. hth0