Comments (2)
rouyang2017
commented on June 19, 2024
- In the one dimensional space of the feature of interest, data of different groups are distributed in different segments, and the segments may overlap. The N and S denote the number of data in the overlap between segments and the size of the overlap, respectively. Features are evaluated individually, and those with small N and S will be highly scored.
- I don't see that problem. Are you using v3.0?
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nhjkjh0608
commented on June 19, 2024
Thank you for your kind answer
Yes I am using v3.0
This image is capture of space_002d.name file generated with using test data on your github
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Related Issues (20)
- Define matrix as input features HOT 2
- Classification input error HOT 2
- Running SISSO on Windows HOT 4
- SISSO-编译方法 HOT 6
- Documentation or tutorials? HOT 11
- Feature dimensions HOT 6
- Selection fo SIS subspace for respective dimensions HOT 1
- How does SIS choose features in Sid HOT 1
- About the number of operators HOT 1
- Installation Help (no prior experience with fortran) HOT 1
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- Compiling this code with NVDIA support compiler HOT 1
- SISSO error HOT 1
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- Error while reading file "train.dat" HOT 5
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- What is mean of the response?
- bug in VarSelect_SISSO.py
- The f90 file failed to compile during installation. HOT 2
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