Description Usage Arguments Author(s)
Uploads a trained model and model code to Synapse to be evaluated in the breast cancer competition.
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modelName |
the name of the model that will be stored in Synapse |
trainedModel |
object that has been trained using the training data. The customPredict() method of this model will be called with the validation data to evaluate model performance. |
rFiles |
list of files required to train the model. One of the files must be the class file defining the class of trained model and defining the customTrain() and customPredict() methods. Other files are dependencies required to run customTrain() and customPredict() on the class file. |
cvPerformance |
optional argument containing an object of class SurvivalModelPerformanceCV as returned by the function crossValidatePredictiveSurvivalModel. |
isPracticeModel |
binary argument specifying if the model is uploaded to the Synapse dataset containing practice models or models to be scored in the competition. Set to FALSE if you do not want the model to be evaluated. |
Adam Margolin
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