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- Default setting for Neural Network in JMP14

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Aug 9, 2019 4:03 PM
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I would like to know what is the default setting for neural network in JMP14. I am using KFold 10, 3 hidden nodes. I assume that only a single hidden layer and the hyperbolic tangent (TanH) activation function are used. But what about other parameters such as propagation, learning rate, momentum, etc? These are not possible to set for JMP14, but I would like to know what parameters are actually used for those calculation. Thank you.

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You are correct. You may choose a method of validation and the number of TanH nodes in a single hidden layer. The other parameters are not available. JMP does not use a propogation algorithm to fit the model. The learning rate only applies to boosting.

You might find this white paper from JMP helpful to undestand how the Neural platform works.

Learn it once, use it forever!

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Re: Default setting for Neural Network in JMP14

You may find the information you are looking for in the documentation for Neural Networks

Help0==>Books==>Predictive and Specialized Modeling

Help0==>Books==>Predictive and Specialized Modeling

Jim

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Re: Default setting for Neural Network in JMP14

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You are correct. You may choose a method of validation and the number of TanH nodes in a single hidden layer. The other parameters are not available. JMP does not use a propogation algorithm to fit the model. The learning rate only applies to boosting.

You might find this white paper from JMP helpful to undestand how the Neural platform works.

Learn it once, use it forever!