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8 changes: 7 additions & 1 deletion src/Microsoft.ML.Data/Prediction/Calibrator.cs
Original file line number Diff line number Diff line change
Expand Up @@ -838,7 +838,9 @@ internal static object Create(IHostEnvironment env, ModelLoadContext ctx, object
internal static class CalibratorUtils
{
// maximum number of rows passed to the calibrator.
private const int _maxCalibrationExamples = 1000000;
// if 0, we'll actually look through the whole dataset to
// when training the calibrator
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Earlier, you had explained to me that if this value is zero, we would look through the whole dataset, but still only use a million rows (randomly selected) for calibration. Is that correct?

Can you please clarify the exact behavior in comments?

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It is correct for PlattCalibrator, but depending of the calibrator the behavior is different. If this is 0, the only thing that does happen for all the calibrators is that we'll look through all the dataset. I explained this further on the other comment I left, so I don't think it's necessary to clarify it more in here.

private const int _maxCalibrationExamples = 0;

private static bool NeedCalibration(IHostEnvironment env, IChannel ch, ICalibratorTrainer calibrator,
ITrainer trainer, IPredictor predictor, RoleMappedSchema schema)
Expand Down Expand Up @@ -988,6 +990,10 @@ public static ICalibrator TrainCalibrator(IHostEnvironment env, IChannel ch, ICa
caliTrainer.ProcessTrainingExample(score, label > 0, weight);

if (maxRows > 0 && ++num >= maxRows)
// If maxRows was 0, we'll process all of the rows in the dataset
// Notice that depending of the calibrator, "processing" means
// only using N random rows of the ones that where processed
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nit, typo: "depending on the calibrator"

// to actually train the calibrator.
break;
}
}
Expand Down