Altair RISE
A program to recognize and reward our most engaged community members
Nominate Yourself Now!
Home
Discussions
Community Q&A
can someone help me with the data processing ?
tranductrung
I need to run, analyze this data to make predictions through deep learning specifically LSTM layer
Find more posts tagged with
AI Studio
Deep Learning + Neural Nets
Accepted answers
ruhaila
Perhaps share your .rpm file and state what you want to do?
ruhaila
By doing it yourself, only then you will learn. This community is to help learning.
ruhaila
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
ruhaila
And you also need to set the ID and the LABEL.
ruhaila
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
ruhaila
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
ruhaila
How many neurons depends on what you want to do. You can refer to other works that are similar to your subject.
hth
ruhaila
Honestly, I am not familiar with the subject. Perhaps try different runs of 5, 10, 20 neurons? I am just guessing here. hth
All comments
ruhaila
Perhaps share your .rpm file and state what you want to do?
tranductrung
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
ruhaila
By doing it yourself, only then you will learn. This community is to help learning.
tranductrung
here is my process but it said failed, i dont know what wrong in this process
((
process 2.rmp
ruhaila
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
ruhaila
And you also need to set the ID and the LABEL.
tranductrung
it still not wolking can you help me step by step with the pic below pleaseee
process 3.rmp
ruhaila
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
ruhaila
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
tranductrung
So how many neurons do I have to fill in here?
Ảnh màn hình 2023-05-25 lúc 09.04.55.png
ruhaila
How many neurons depends on what you want to do. You can refer to other works that are similar to your subject.
hth
tranductrung
Can you give me some suggestions about how many neurons ?
ruhaila
Honestly, I am not familiar with the subject. Perhaps try different runs of 5, 10, 20 neurons? I am just guessing here. hth
tranductrung
can you tell me what i can rely on to know which stock is better in the future
ruhaila
I suggest searching more on google scholar for latest research. This is really not my area of knowledge. hth
Quick Links
All Categories
Recent Discussions
Activity
Unanswered
日本語 (Japanese)
한국어(Korean)
Groups