Hi Shi.
In general, there is no guarantee that models built with one version
will work in a different version.
In particular, loading in an older version when built in a newer version
seems something that's tricky to achieve.
We might want to warn the user when doing this. The docs are not very
explicit about this.
Opened an issue:
https://github.com/scikit-learn/scikit-learn/issues/7135
Andy
On 08/02/2016 05:02 PM, Shi Yu wrote:
Hello,
We trained SVM models in scikit-learn 0.17 and saved it as pickle
files. When loading the models back in a lower version of scikit-learn
0.15, the outputs are entirely different. Basically for binary
classification problem, for the same test data, it swapped the
probabilities and gave an opposite prediction. In 0.17 the
probability is [0.02668825, 0.97331175] and the prediction is 1. In
0.15 the probability is [0.97331175, 0.02668825] and the prediction is 0.
I wonder is anyone seeing the same issue, or it has been notified. I
could provide more details for error replication if required.
Best,
Shi
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