tmog_close.scala

// Read the Deal data
val dealData = DataReaders.Simple.csvCase[Deal](path = pathToData).readDataset().toDF()

// Extract response and predictor Features
val (isClosed, predictors) = FeatureBuilder.fromDataFrame[RealNN](dealData, response = "isClosed")

// Automated feature engineering
val featureVector = predictors.transmogrify()

// Automated feature validation
val cleanFeatures = isClosed.sanityCheck(featureVector, removeBadFeatures = true)

// Automated model selection
val (pred, raw, prob) = BinaryClassificationModelSelector().setInput(isClosed, cleanFeatures).getOutput()

// Setting up the workflow and training the model
val model = new OpWorkflow().setInputDataset(dealData).setResultFeatures(pred).train()