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On the construction of high-dimensional feature space #67
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Here I used just 4 samples and a small nf_sis, and so I do not see the A*(B+(B+C)). It can be found by increasing the nf_sis. |
I'm very grateful for your quick reply. |
Yes. Phi_4 and higher rung require too much memory to be doable in the current code. Future versions will make Phi_4 possible. That's a good question. A+(B/(C+(D+E))) seems to be in Phi_4, which necessitates the calculation of high-rung feature space. We are planning to work on this in near future. |
I'm grateful for your help in clarifying this matter. I'm pleased to see the ongoing progress ! |
When constructing a high-dimensional feature space from primary features, the SISSO Fortran code appears to operate in a recursive manner, applying operators set to the arbitrary elements in the feature space and expanding it.
We believe that the code may potentially omit a certain form of the feature.
If that is the case, we would be grateful for any feedback you could provide regarding the omitted features.
We hope you will forgive us if the above question stems from our careless mistakes.
We would like to respectfully bring the following concerns to your attention:
Despite our best efforts, we have been unable to find the features, such as A/(B+(C+D)), A*(B+(B+C)) and so on, which we believe should be included in the feature space when expanding it using the provided data set (numerical values have been generated randomly).
Furthermore, we would be grateful for any insight you could provide regarding the features that may have been omitted during the expansion of the feature space.
train.dat
========================================
name, A, B, C, D, E,
data_0 0.3565 0.5772 0.2283 0.9890 0.1637
data_1 0.5920 0.8401 0.4583 0.0922 0.8506
data_2 ….
========================================
SISSO.in
========================================
nsf= 5
ops='(+)(-)(*)(/)'
fcomplexity=3
funit=(1:5)
nf_sis=200000
========================================
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