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correct order of activations in helpfile

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nix
Pierre Alexandre Tremblay 5 years ago
parent efa97e4e66
commit 2747e5b2a2
2 changed files with 3 additions and 3 deletions
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2
release-packaging/HelpSource/Classes/FluidMLPClassifier.schelp
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@ -34,7 +34,7 @@ The training batch size.
ARGUMENT:: validation ARGUMENT:: validation
The fraction of the DataSet size to hold back during training to validate the network against. 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. A set of convinience constants for the available activation functions.
INSTANCEMETHODS:: INSTANCEMETHODS::

4
release-packaging/HelpSource/Classes/FluidMLPRegressor.schelp
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@ -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. 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 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 ARGUMENT:: maxIter
The maximum number of iterations to use in training. The maximum number of iterations to use in training.
@ -44,7 +44,7 @@ The training batch size.
ARGUMENT:: validation ARGUMENT:: validation
The fraction of the DataSet size to hold back during training to validate the network against. 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. A set of convinience constants for the available activation functions.
INSTANCEMETHODS:: INSTANCEMETHODS::

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