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Does anyone know or have seen this error before? I have tried some approaches, but no success
Hello, I'm using the Deep Learning model of the H2o framework available in RapidMiner. To perform my analyses I don't see how to control the data used for validation step at the end of each epoch. For example, with Keras you have to specify the training set rate, and that part of your data are used for the validation. With…
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Good afternoon, I am having difficulty with running a GBT operator...I receive the following error message "...illegal arguments for GBM Model:error on field: _response: Response cannot be constant. Please check input data and parameter setup".
In H2o deep learning operator I can set the hidden layer size and the activation function. Is there a way to assign different activation functions for each hidden layers?
Deep Learning model of H20 provides "compute variable importance" choice. If elected the output of Deep Learning Model list the top ten important attributes. Is there a way to increase this number to top 20 or 100?