def preprocess(fileName, train=True): df = dm.file2Dataframe(fileName) inputArr, outputArr = dm.processDataframeForNP(df, train) inputFileName, outputFileName = dm.makeFileName(fileName) if train: dm.save(outputFileName, outputArr) dm.save(inputFileName, inputArr) return inputArr, outputArr
def saveModelAndScores(modelFileName, stdModel, statisticsFileName, scores): dm.save(modelFileName, stdModel) dm.save(statisticsFileName, scores.mean())
def saveModelAndScores(modelFileName, generatedModel, statisticsFileName, scores): dm.save(modelFileName, generatedModel) dm.save(statisticsFileName, scores)