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  • Posted a comment on discussion Open Discussion on dlib C++ Library

    I would like to do online continuous training, and not to do retraining on the whole dataset each time a little more data arrives. I am coding in c++. I need random forest regression. conceptually similar to: rf = RandomForestClassifier(n_estimators=500, criterion='entropy', random_state=42) //new data arives rf.fit(X_train, y_train) rf.predict(X_input) //new data arives rf.fit(X_train, y_train) rf.predict(X_input) ... here is a sample code #include <fstream> #include <string> #include <vector> #include...

  • Posted a comment on ticket #35 on WaveSurfer

    maybe you can get a free certificate here though self signed is enough just to make...

  • Created ticket #35 on WaveSurfer

    executable not signed

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shimondoodkin
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2010-10-12 22:42:43

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