From 2747e5b2a2e59ddf8e2b4d0a3745e10716f7b743 Mon Sep 17 00:00:00 2001 From: Pierre Alexandre Tremblay Date: Tue, 4 Aug 2020 09:40:17 +0100 Subject: [PATCH] correct order of activations in helpfile --- .../HelpSource/Classes/FluidMLPClassifier.schelp | 2 +- release-packaging/HelpSource/Classes/FluidMLPRegressor.schelp | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/release-packaging/HelpSource/Classes/FluidMLPClassifier.schelp b/release-packaging/HelpSource/Classes/FluidMLPClassifier.schelp index ebd9f2a..a406b71 100644 --- a/release-packaging/HelpSource/Classes/FluidMLPClassifier.schelp +++ b/release-packaging/HelpSource/Classes/FluidMLPClassifier.schelp @@ -34,7 +34,7 @@ The training batch size. ARGUMENT:: validation The fraction of the DataSet size to hold back during training to validate the network against. -METHOD:: identity, relu, sigmoid, tanh +METHOD:: identity, sigmoid, relu, tanh A set of convinience constants for the available activation functions. INSTANCEMETHODS:: diff --git a/release-packaging/HelpSource/Classes/FluidMLPRegressor.schelp b/release-packaging/HelpSource/Classes/FluidMLPRegressor.schelp index aa96892..cb9a498 100644 --- a/release-packaging/HelpSource/Classes/FluidMLPRegressor.schelp +++ b/release-packaging/HelpSource/Classes/FluidMLPRegressor.schelp @@ -27,7 +27,7 @@ ARGUMENT:: tapIn The layer whose input is used to predict and predictPoint. It is 0 counting, where the default of 0 is the input layer, and 1 would be the first hidden layer, and so on. ARGUMENT:: tapOut -The layer whose output to return. It is counting from 0 as the input layer, and 1 would be the first hidden layer, and so on. The default of -1 is the last layer. +The layer whose output to return. It is counting from 0 as the input layer, and 1 would be the first hidden layer, and so on. The default of -1 is the last layer of the whole network. ARGUMENT:: maxIter The maximum number of iterations to use in training. @@ -44,7 +44,7 @@ The training batch size. ARGUMENT:: validation The fraction of the DataSet size to hold back during training to validate the network against. -METHOD:: identity, relu, sigmoid, tanh +METHOD:: identity, sigmoid, relu, tanh A set of convinience constants for the available activation functions. INSTANCEMETHODS::