RapidLib issueshttps://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/issues2019-11-29T08:46:33Zhttps://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/issues/125seriesClassification needs JSON functions2019-11-29T08:46:33ZMichael ZbyszyńskiseriesClassification needs JSON functionsI never got around to writing the JSON functions for seriesClassification. Training every time isn't really that bad, but it would be nice to have these functions.I never got around to writing the JSON functions for seriesClassification. Training every time isn't really that bad, but it would be nice to have these functions.Future APIhttps://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/issues/116Add Decision trees2018-01-22T09:44:12ZMichael ZbyszyńskiAdd Decision treesThis would be step one for Random Forest.This would be step one for Random Forest.Future APIhttps://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/91Add Random Forest to API2017-11-27T09:37:35ZMichael ZbyszyńskiAdd Random Forest to APIFuture APIMichael ZbyszyńskiMichael Zbyszyńskihttps://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/issues/85Downsampling for DTW2017-10-08T08:03:32ZMichael ZbyszyńskiDownsampling for DTWThe DTW in Wekinator does some downsampling. This would be a nice feature to implement in RapidLib.The DTW in Wekinator does some downsampling. This would be a nice feature to implement in RapidLib.Michael ZbyszyńskiMichael Zbyszyńskihttps://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/issues/111NN: combine inputNeurons[] and hiddenNeurons[]2017-09-25T11:20:15ZMichael ZbyszyńskiNN: combine inputNeurons[] and hiddenNeurons[]These two things could be combined into one array, which might make a neater implementation. I don't think it would be noticeably more efficient, though.These two things could be combined into one array, which might make a neater implementation. I don't think it would be noticeably more efficient, though.Future APIMichael ZbyszyńskiMichael Zbyszyńskihttps://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/issues/58Move all input selection functions into modelSet2017-09-01T14:19:10ZMichael ZbyszyńskiMove all input selection functions into modelSetWhile working on JSON, I realise that some of the functions that I think should be in modelSet have crept into model objects. Specifically, the logic around selecting inputs.
Refactor this properly.While working on JSON, I realise that some of the functions that I think should be in modelSet have crept into model objects. Specifically, the logic around selecting inputs.
Refactor this properly.API v0.2Michael ZbyszyńskiMichael Zbyszyńskihttps://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/issues/24Expose activation function for output node2017-08-30T12:43:24ZMichael ZbyszyńskiExpose activation function for output nodeIf we want to use our Perceptron as a classifier, we might want the output node to use a sigmoid activation function.
Easy to add... worthwhile?If we want to use our Perceptron as a classifier, we might want the output node to use a sigmoid activation function.
Easy to add... worthwhile?Future APIMick GriersonMick Griersonhttps://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/issues/90RapidLib: Classifiers with string labels2017-08-30T12:05:37ZMichael ZbyszyńskiRapidLib: Classifiers with string labelsRapidLib classifiers should natively deal with strings as labels, rather than rely on the unordered_map in the facade.RapidLib classifiers should natively deal with strings as labels, rather than rely on the unordered_map in the facade.Future APIMichael ZbyszyńskiMichael Zbyszyńskihttps://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/issues/57Implement nameable inputs.2017-08-16T13:17:22ZMichael ZbyszyńskiImplement nameable inputs.Wekinator lets you name inputs. This could be useful later, for example using a model in the context of a different set.
Implement setting and checking for this feature.Wekinator lets you name inputs. This could be useful later, for example using a model in the context of a different set.
Implement setting and checking for this feature.Future APIMichael ZbyszyńskiMichael Zbyszyńskihttps://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/issues/61Wekinator-like output limits2017-08-16T13:17:22ZMichael ZbyszyńskiWekinator-like output limitsWekinator has some options for limiting the output. Duplicate those in our API.Wekinator has some options for limiting the output. Duplicate those in our API.Future APIhttps://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/64Why are training set embindings in the knnEmbindings.h file?2017-08-16T13:17:21ZMichael ZbyszyńskiWhy are training set embindings in the knnEmbindings.h file?I had to stick these bindings there, because the symbol was undefined when I put them where I thought they should go. ???I had to stick these bindings there, because the symbol was undefined when I put them where I thought they should go. ???Future APIhttps://gitlab.doc.gold.ac.uk/rapid-mix/RapidLib/-/issues/83Logistic Regression2017-07-24T20:16:37ZMichael ZbyszyńskiLogistic RegressionByron Becker expressed interest in a logistic regression model.Byron Becker expressed interest in a logistic regression model.