lcoogan
/
flucoma-sc
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

hidden --> hiddenLayers in class definition (#114)

Browse Source
nix
Ted Moore 4 years ago committed by GitHub
parent 88f58e2fbc
commit eaa5bf4a41
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 12 additions and 12 deletions
Show Stats Download Patch File Download Diff File

24
release-packaging/Classes/FluidMLP.sc
Unescape Escape View File

@ -5,12 +5,12 @@ FluidMLPRegressor : FluidModelObject {
const <relu = 2;
const <tanh = 3;
var <>hidden, <>activation, <>outputActivation, <>tapIn, <>tapOut, <>maxIter, <>learnRate, <>momentum, <>batchSize, <>validation;
var <>hiddenLayers, <>activation, <>outputActivation, <>tapIn, <>tapOut, <>maxIter, <>learnRate, <>momentum, <>batchSize, <>validation;
*new {|server, hidden = #[3,3] , activation = 2, outputActivation = 0, tapIn = 0, tapOut = -1,maxIter = 1000, learnRate = 0.0001, momentum = 0.9, batchSize = 50, validation = 0.2|
*new {|server, hiddenLayers = #[3,3] , activation = 2, outputActivation = 0, tapIn = 0, tapOut = -1,maxIter = 1000, learnRate = 0.0001, momentum = 0.9, batchSize = 50, validation = 0.2|
^super.new(server, [hidden.size] ++ hidden ++ [activation, outputActivation, tapIn, tapOut, maxIter, learnRate, momentum, batchSize, validation])
.hidden_(hidden)
^super.new(server, [hiddenLayers.size] ++ hiddenLayers ++ [activation, outputActivation, tapIn, tapOut, maxIter, learnRate, momentum, batchSize, validation])
.hiddenLayers_(hiddenLayers)
.activation_(activation)
.outputActivation_(outputActivation)
.tapIn_(tapIn)
@ -23,7 +23,7 @@ FluidMLPRegressor : FluidModelObject {
}
prGetParams{
^[this.id, this.hidden.size] ++ this.hidden ++ [this.activation, this.outputActivation, this.tapIn, this.tapOut, this.maxIter, this.learnRate, this.momentum, this.batchSize, this.validation]
^[this.id, this.hiddenLayers.size] ++ this.hiddenLayers ++ [this.activation, this.outputActivation, this.tapIn, this.tapOut, this.maxIter, this.learnRate, this.momentum, this.batchSize, this.validation]
}
clearMsg{ ^this.prMakeMsg(\clear, id) }
@ -89,7 +89,7 @@ FluidMLPRegressor : FluidModelObject {
prUpdateParams{|data|
var rest = data.keep(-9);
this.hidden_(data.drop(1).drop(-9).copy);
this.hiddenLayers_(data.drop(1).drop(-9).copy);
[\activation_, \outputActivation_,
\tapIn_, \tapOut_, \maxIter_,
\learnRate_, \momentum_,
@ -120,11 +120,11 @@ FluidMLPClassifier : FluidModelObject {
const <relu = 2;
const <tanh = 3;
var <>hidden, <>activation, <> maxIter, <>learnRate, <> momentum, <>batchSize, <>validation;
var <>hiddenLayers, <>activation, <> maxIter, <>learnRate, <> momentum, <>batchSize, <>validation;
*new {|server, hidden = #[3,3] , activation = 2, maxIter = 1000, learnRate = 0.0001, momentum = 0.9, batchSize = 50, validation = 0.2|
^super.new(server,[hidden.size] ++ hidden ++ [activation, maxIter, learnRate, momentum, batchSize, validation])
.hidden_(hidden)
*new {|server, hiddenLayers = #[3,3] , activation = 2, maxIter = 1000, learnRate = 0.0001, momentum = 0.9, batchSize = 50, validation = 0.2|
^super.new(server,[hiddenLayers.size] ++ hiddenLayers ++ [activation, maxIter, learnRate, momentum, batchSize, validation])
.hiddenLayers_(hiddenLayers)
.activation_(activation)
.maxIter_(maxIter)
.learnRate_(learnRate)
@ -134,7 +134,7 @@ FluidMLPClassifier : FluidModelObject {
}
prGetParams{
^[this.id, this.hidden.size] ++ this.hidden ++ [this.activation, this.maxIter, this.learnRate, this.momentum, this.batchSize, this.validation];
^[this.id, this.hiddenLayers.size] ++ this.hiddenLayers ++ [this.activation, this.maxIter, this.learnRate, this.momentum, this.batchSize, this.validation];
}
clearMsg{ ^this.prMakeMsg(\clear,id) }
@ -183,7 +183,7 @@ FluidMLPClassifier : FluidModelObject {
prUpdateParams{|data|
var rest = data.keep(-6);
this.hidden_(data.drop(1).drop(-6).copy);
this.hiddenLayers_(data.drop(1).drop(-6).copy);
[\activation_, \maxIter_,
\learnRate_, \momentum_,
\batchSize_, \validation_]

Write Preview
Loading…
Cancel
Save