RapidLib issueshttps://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/issues2017-12-04T14:49:10Zhttps://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/issues/117Multiple hidden layers not working with one input2017-12-04T14:49:10ZMichael ZbyszyńskiMultiple hidden layers not working with one input@jfrin001 reported a reproducible case where single input neural networks with multiple hidden layers don't give very good results.@jfrin001 reported a reproducible case where single input neural networks with multiple hidden layers don't give very good results.Future APIMichael ZbyszyńskiMichael Zbyszyńskihttps://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/issues/62JSON parsing will break if node order is changed2017-08-16T13:17:22ZMichael ZbyszyńskiJSON parsing will break if node order is changedThe current code relies on node order, rather than doing string matching on the node names. It will break if the nodes are presented in a different order than expected.The current code relies on node order, rather than doing string matching on the node names. It will break if the nodes are presented in a different order than expected.Future APIhttps://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/issues/6Straighten out Wekinator C++ output2017-08-16T13:17:22ZMichael ZbyszyńskiStraighten out Wekinator C++ outputThe c++ classes for wekinator-like functions have evolved. Fold those changes back into wekinator. Also, just copy classes rather than printf through them.The c++ classes for wekinator-like functions have evolved. Fold those changes back into wekinator. Also, just copy classes rather than printf through them.Future APIhttps://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/issues/126Crash with multiple hidden layers and more hidden nodes2020-05-04T08:36:46ZMichael ZbyszyńskiCrash with multiple hidden layers and more hidden nodes
[This line in the neural network code assumes that weight vectors are the lenght of the input](https://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/blob/master/src/neuralNetwork.cpp#L22) It causes a crash if there are multiple hidden lay...
[This line in the neural network code assumes that weight vectors are the lenght of the input](https://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/blob/master/src/neuralNetwork.cpp#L22) It causes a crash if there are multiple hidden layers that have more nodes than the nuber of inputs. Fix it.Michael ZbyszyńskiMichael Zbyszyńskihttps://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/issues/92Classification crashed when training with empty data set2017-08-17T14:21:53ZMichael ZbyszyńskiClassification crashed when training with empty data sethttps://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/issues/80SVM not working properly yet2017-09-27T11:31:37ZMichael ZbyszyńskiSVM not working properly yetlibSVM is wrapped, but I've yet to get sensible results out of SVM. It always returns the last class that was added.
This could be a bug in the wrapper code, or it could be a problem with the default parameters. SVM is apparently not so...libSVM is wrapped, but I've yet to get sensible results out of SVM. It always returns the last class that was added.
This could be a bug in the wrapper code, or it could be a problem with the default parameters. SVM is apparently not so great with few examples, so it might take some effort to design a reasonable test suite for it.
But, SVM might not be a good match for RapidLib. Too many confusing parameters, bad with few examples, etc. It might be better to implement Random Forest, rather than sink time into making SVM work.