public void FixedPlatCalibratorEstimator()
{
var calibratorTestData = GetCalibratorTestData();
// fixedPlatCalibrator
var fixedPlatCalibratorEstimator = new FixedPlattCalibratorEstimator(Env, calibratorTestData.transformer.Model, labelColumn: "Label", featureColumn: "Features");
var fixedPlatCalibratorTransformer = fixedPlatCalibratorEstimator.Fit(calibratorTestData.scoredData);
checkValidCalibratedData(calibratorTestData.scoredData, fixedPlatCalibratorTransformer);
//test estimator
TestEstimatorCore(calibratorTestData.pipeline, calibratorTestData.data);
Done();
}
public void FixedPlattCalibratorEstimator()
{
var calibratorTestData = GetCalibratorTestData();
// fixedPlattCalibrator
var fixedPlattCalibratorEstimator = new FixedPlattCalibratorEstimator(Env);
var fixedPlattCalibratorTransformer = fixedPlattCalibratorEstimator.Fit(calibratorTestData.ScoredData);
CheckValidCalibratedData(calibratorTestData.ScoredData, fixedPlattCalibratorTransformer);
//test estimator
TestEstimatorCore(calibratorTestData.Pipeline, calibratorTestData.Data);
Done();
}
public void TestNonStandardCalibratorEstimatorClasses()
{
var mlContext = new MLContext(0);
// Store different possible variations of calibrator data classes.
IDataView[] dataArray = new IDataView[]
{
mlContext.Data.LoadFromEnumerable <CalibratorTestInputReversedOrder>(
new CalibratorTestInputReversedOrder[]
{
new CalibratorTestInputReversedOrder {
Score = 10, Label = true
},
new CalibratorTestInputReversedOrder {
Score = 15, Label = false
}
}),
mlContext.Data.LoadFromEnumerable <CalibratorTestInputUniqueScoreColumnName>(
new CalibratorTestInputUniqueScoreColumnName[]
{
new CalibratorTestInputUniqueScoreColumnName {
Label = true, ScoreX = 10
},
new CalibratorTestInputUniqueScoreColumnName {
Label = false, ScoreX = 15
}
}),
mlContext.Data.LoadFromEnumerable <CalibratorTestInputReversedOrderAndUniqueScoreColumnName>(
new CalibratorTestInputReversedOrderAndUniqueScoreColumnName[]
{
new CalibratorTestInputReversedOrderAndUniqueScoreColumnName {
ScoreX = 10, Label = true
},
new CalibratorTestInputReversedOrderAndUniqueScoreColumnName {
ScoreX = 15, Label = false
}
})
};
// When label and/or score columns are different from their default names ("Label" and "Score", respectively), they
// need to be manually defined as done below.
// Successful training of estimators and transforming with transformers indicate correct label and score columns
// have been found.
for (int i = 0; i < dataArray.Length; i++)
{
// Test PlattCalibratorEstimator
var calibratorPlattEstimator = new PlattCalibratorEstimator(Env,
scoreColumnName: i > 0 ? "ScoreX" : DefaultColumnNames.Score);
var calibratorPlattTransformer = calibratorPlattEstimator.Fit(dataArray[i]);
calibratorPlattTransformer.Transform(dataArray[i]);
// Test FixedPlattCalibratorEstimator
var calibratorFixedPlattEstimator = new FixedPlattCalibratorEstimator(Env,
scoreColumn: i > 0 ? "ScoreX" : DefaultColumnNames.Score);
var calibratorFixedPlattTransformer = calibratorFixedPlattEstimator.Fit(dataArray[i]);
calibratorFixedPlattTransformer.Transform(dataArray[i]);
// Test NaiveCalibratorEstimator
var calibratorNaiveEstimator = new NaiveCalibratorEstimator(Env,
scoreColumn: i > 0 ? "ScoreX" : DefaultColumnNames.Score);
var calibratorNaiveTransformer = calibratorNaiveEstimator.Fit(dataArray[i]);
calibratorNaiveTransformer.Transform(dataArray[i]);
// Test IsotonicCalibratorEstimator
var calibratorIsotonicEstimator = new IsotonicCalibratorEstimator(Env,
scoreColumn: i > 0 ? "ScoreX" : DefaultColumnNames.Score);
var calibratorIsotonicTransformer = calibratorIsotonicEstimator.Fit(dataArray[i]);
calibratorIsotonicTransformer.Transform(dataArray[i]);
}
}