FluidUMAP : FluidModelObject { var <>numDimensions, <>numNeighbours, <>minDist, <>iterations, <>learnRate; *new {|server,numDimensions = 2, numNeighbours = 15, minDist = 0.1, iterations = 200, learnRate = 0.1| ^super.new(server,[numDimensions, numNeighbours, minDist, iterations, learnRate]) .numDimensions_(numDimensions) .numNeighbours_(numNeighbours) .minDist_(minDist) .iterations_(iterations) .learnRate_(learnRate); } prGetParams{ ^[ this.id, this.numDimensions, this.numNeighbours, this.minDist, this.iterations, this.learnRate, ] } fitTransformMsg{|sourceDataSet, destDataSet| ^this.prMakeMsg(\fitTransform, id, sourceDataSet.id, destDataSet.id) } fitTransform{|sourceDataSet, destDataSet, action| actions[\fitTransform] = [nil, action]; this.prSendMsg(this.fitTransformMsg(sourceDataSet,destDataSet)); } fitMsg{|dataSet| ^this.prMakeMsg(\fit,id, dataSet.id); } fit{|dataSet, action| actions[\fit] = [nil, action]; this.prSendMsg(this.fitMsg(dataSet)); } transformMsg{|sourceDataSet, destDataSet| ^this.prMakeMsg(\transform, id, sourceDataSet.id, destDataSet.id); } transform{|sourceDataSet, destDataSet, action| actions[\transform] = [nil, action]; this.prSendMsg(this.transformMsg(sourceDataSet,destDataSet)); } transformPointMsg{|sourceBuffer, destBuffer| ^this.prMakeMsg(\transformPoint,id, this.prEncodeBuffer(sourceBuffer), this.prEncodeBuffer(destBuffer), ["/b_query",destBuffer.asUGenInput] ); } transformPoint{|sourceBuffer, destBuffer, action| actions[\transformPoint] = [nil,{action.value(destBuffer)}]; this.prSendMsg(this.transformPointMsg(sourceBuffer,destBuffer)); } kr{|trig, inputBuffer,outputBuffer| ^FluidUMAPQuery.kr(trig, this, this.prEncodeBuffer(inputBuffer), this.prEncodeBuffer(outputBuffer)); } // not implemented cols {|action|} size { |action|} } FluidUMAPQuery : FluidRTMultiOutUGen { *kr{ |trig, model, inputBuffer,outputBuffer| ^this.multiNew('control',trig, model.asUGenInput, inputBuffer.asUGenInput, outputBuffer.asUGenInput) } init { arg ... theInputs; inputs = theInputs; ^this.initOutputs(1, rate); } }