| --- Log opened Mon Sep 28 00:00:23 2015 | ||
| --- Day changed Mon Sep 28 2015 | ||
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| ephas | Hi - when running cross validation in Python, I know we can extract the mean performance using cv.mean, but is there a way of extracting the individual performance list, i.e. if we run a 10-fold cross validation, this list would be length 10 and have a mean that equals cv.mean (I hope this makes sense)? | 10:43 |
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| ephas | \help | 10:43 |
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| lisitsyn | ephas: yeah should be possible | 11:06 |
| lisitsyn | let me check | 11:06 |
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| lisitsyn | ephas: uhh I just checked code and have some bad news | 11:11 |
| lisitsyn | these numbers are not saved anywhere | 11:11 |
| lisitsyn | it is possible to see them as there is some debug print but I guess you need real list | 11:12 |
| ephas | ah - I was hoping they were in m_xval_outputs (which is private, right?) | 11:13 |
| ephas | can I get access to the debug through Python? | 11:13 |
| lisitsyn | ohh true there is m_xval_outputs | 11:13 |
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| lisitsyn | ephas: sorry got distracted | 11:53 |
| lisitsyn | I am afraid this list is not accessible and you'd need some changes in code | 11:53 |
| ephas | no worries - I found the debug command (attach a CrossValidationPrintOutput) | 11:53 |
| lisitsyn | ah cool | 11:53 |
| ephas | just trying to work out how to assign it into a variable for parsing | 11:54 |
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| --- Log closed Tue Sep 29 00:00:40 2015 | ||
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