submitCompetitionModel_plosRevision: Submit a trained model for a breast cancer competition

Description Usage Arguments Author(s)

Description

Uploads a trained model and model code to Synapse to be evaluated in the breast cancer competition.

Usage

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  submitCompetitionModel_plosRevision(modelName = NULL,
    trainedModel = NULL, rFiles = NULL, algorithm = NULL,
    geneList = NULL, cvPerformance = NULL,
    parentDatasetId = "syn1642232")

Arguments

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.

Author(s)

Adam Margolin


Sage-Bionetworks/federationPLoSRevision documentation built on May 9, 2019, 12:12 p.m.