diff --git a/src/clickTrainDetector/clickTrainAlgorithms/mht/DefaultMHTParams.java b/src/clickTrainDetector/clickTrainAlgorithms/mht/DefaultMHTParams.java
index 20d36b2a..fed45f55 100644
--- a/src/clickTrainDetector/clickTrainAlgorithms/mht/DefaultMHTParams.java
+++ b/src/clickTrainDetector/clickTrainAlgorithms/mht/DefaultMHTParams.java
@@ -1,10 +1,12 @@
 package clickTrainDetector.clickTrainAlgorithms.mht;
 
+import PamguardMVC.PamDataBlock;
 import clickTrainDetector.clickTrainAlgorithms.mht.mhtvar.BearingChi2VarParams;
 import clickTrainDetector.clickTrainAlgorithms.mht.mhtvar.BearingChi2VarParams.BearingJumpDrctn;
 import clickTrainDetector.clickTrainAlgorithms.mht.mhtvar.CorrelationChi2Params;
 import clickTrainDetector.clickTrainAlgorithms.mht.mhtvar.IDIChi2Params;
 import clickTrainDetector.clickTrainAlgorithms.mht.mhtvar.SimpleChi2VarParams;
+import cpod.CPODClickDataBlock;
 
 /**
  * Default parameters for different species for the MHT click train detector. 
@@ -74,10 +76,11 @@ public class DefaultMHTParams {
 
 	/**
 	 * Get default MHT parameters for a particular default species. 
+	 * @param pamDataBlock 
 	 * 
 	 * @return the default MHT parameters for giver DefaultMHTSpecies. 
 	 */
-	public static MHTParams getDefaultMHTParams(DefaultMHTSpecies defaultSpecies) {
+	public static MHTParams getDefaultMHTParams(DefaultMHTSpecies defaultSpecies, PamDataBlock<?> pamDataBlock ) {
 
 		MHTParams mhtParams = new MHTParams();
 
@@ -146,28 +149,70 @@ public class DefaultMHTParams {
 
 			break;
 		case PORPOISE:
+			
+			if (pamDataBlock!=null && pamDataBlock.getClass().isAssignableFrom(CPODClickDataBlock.class)) {
+				
+				chi2Settings[0]= new IDIChi2Params("ICI", "s", 0.2, 0.0002, SimpleChi2VarParams.SCALE_FACTOR_ICI);
+				((IDIChi2Params) chi2Settings[0]).minIDI = 0.001; 
+				chi2Settings[1]= new SimpleChi2VarParams("Amplitude", "dB", 100, 0.6, SimpleChi2VarParams.SCALE_FACTOR_AMPLITUDE);
+				chi2Settings[2]= new BearingChi2VarParams("Bearing Delta", "\u00b0", Math.toRadians(0.2),  Math.toRadians(0.01), 
+						SimpleChi2VarParams.SCALE_FACTOR_BEARING); //RADIANS
+				chi2Settings[3]= new CorrelationChi2Params("Correlation"); 
 
-			chi2Settings[0]= new IDIChi2Params("ICI", "s", 0.2, 0.0002, SimpleChi2VarParams.SCALE_FACTOR_ICI);
-			chi2Settings[1]= new SimpleChi2VarParams("Amplitude", "dB", 30, 1, SimpleChi2VarParams.SCALE_FACTOR_AMPLITUDE);
-			chi2Settings[2]= new BearingChi2VarParams("Bearing Delta", "\u00b0", Math.toRadians(0.2),  Math.toRadians(0.01), 
-					SimpleChi2VarParams.SCALE_FACTOR_BEARING); //RADIANS
-			chi2Settings[3]= new CorrelationChi2Params("Correlation"); 
+				simpleChi2Params.chi2Settings = chi2Settings;
 
-			simpleChi2Params.chi2Settings = chi2Settings;
+				simpleChi2Params.enable = new boolean[] {true, true, false, false, false, false}; 
+				
+				simpleChi2Params.maxICI = 0.25; 
+				
+				simpleChi2Params.coastPenalty = 10; 
+				simpleChi2Params.newTrackPenalty = 50; 	
+				simpleChi2Params.longTrackExponent = 0.01; 
+				simpleChi2Params.lowICIExponent = 2; 
+				simpleChi2Params.newTrackN = 3; 
 
-			simpleChi2Params.enable = new boolean[] {true, true, true, false, false, false}; 
+				//the MHT kernel params
+				mhtKernelParams.maxCoast = 2; 
+				mhtKernelParams.nHold = 100; 
+				mhtKernelParams.nPruneBackStart = 15;
+				mhtKernelParams.nPruneback = 8;
+				
+				mhtKernelParams.nPruneback = 8;
+				
+				
+				
 
+				//set the  two main parameter classes. 
+				mhtParams.chi2Params = simpleChi2Params; 
+				mhtParams.mhtKernal = mhtKernelParams; 
+				
+			}
+			
+			else {
 
-
-			//the MHT kernel params
-			mhtKernelParams.maxCoast = 7; 
-			mhtKernelParams.nHold = 40; 
-			mhtKernelParams.nPruneBackStart = 15;
-			mhtKernelParams.nPruneback = 7;
-
-			//set the  two main parameter classes. 
-			mhtParams.chi2Params = simpleChi2Params; 
-			mhtParams.mhtKernal = mhtKernelParams; 
+				chi2Settings[0]= new IDIChi2Params("ICI", "s", 0.2, 0.0002, SimpleChi2VarParams.SCALE_FACTOR_ICI);
+				chi2Settings[1]= new SimpleChi2VarParams("Amplitude", "dB", 30, 1, SimpleChi2VarParams.SCALE_FACTOR_AMPLITUDE);
+				chi2Settings[2]= new BearingChi2VarParams("Bearing Delta", "\u00b0", Math.toRadians(0.2),  Math.toRadians(0.01), 
+						SimpleChi2VarParams.SCALE_FACTOR_BEARING); //RADIANS
+				chi2Settings[3]= new CorrelationChi2Params("Correlation"); 
+	
+				simpleChi2Params.chi2Settings = chi2Settings;
+	
+				simpleChi2Params.enable = new boolean[] {true, true, true, false, false, false}; 
+	
+	
+	
+				//the MHT kernel params
+				mhtKernelParams.maxCoast = 7; 
+				mhtKernelParams.nHold = 40; 
+				mhtKernelParams.nPruneBackStart = 15;
+				mhtKernelParams.nPruneback = 7;
+	
+				//set the  two main parameter classes. 
+				mhtParams.chi2Params = simpleChi2Params; 
+				mhtParams.mhtKernal = mhtKernelParams; 
+			
+			}
 
 			break;
 
diff --git a/src/clickTrainDetector/layout/mht/MHTSettingsPane.java b/src/clickTrainDetector/layout/mht/MHTSettingsPane.java
index 887a4194..dc0e1c6d 100644
--- a/src/clickTrainDetector/layout/mht/MHTSettingsPane.java
+++ b/src/clickTrainDetector/layout/mht/MHTSettingsPane.java
@@ -222,7 +222,7 @@ public class MHTSettingsPane extends SettingsPane<MHTParams> {
 		for (DefaultMHTSpecies speciesTypes: DefaultMHTSpecies.values()) {
 			menuItem = new MenuItem(DefaultMHTParams.getDefaultSpeciesName(speciesTypes)); 
 			menuItem.setOnAction((action)->{
-				setParams(DefaultMHTParams.getDefaultMHTParams(speciesTypes)); 
+				setParams(DefaultMHTParams.getDefaultMHTParams(speciesTypes, mhtClickTrainAlgorithm.getClickTrainControl().getParentDataBlock())); 
 			});
 			speciesChoiceBox.getItems().add(menuItem); 
 		}
diff --git a/src/rawDeepLearningClassifier/dlClassification/genericModel/GenericDLClassifier.java b/src/rawDeepLearningClassifier/dlClassification/genericModel/GenericDLClassifier.java
index 909cf7aa..9efc88f6 100644
--- a/src/rawDeepLearningClassifier/dlClassification/genericModel/GenericDLClassifier.java
+++ b/src/rawDeepLearningClassifier/dlClassification/genericModel/GenericDLClassifier.java
@@ -92,6 +92,12 @@ public class GenericDLClassifier implements DLClassiferModel, PamSettings {
 		//System.out.println("PrepModel! !!!");
 		genericModelWorker.prepModel(genericModelParams, dlControl);
 		//set cusotm transforms in the model. 
+		
+		if (genericModelParams.dlTransfromParams!=null) {
+			//important to remkae transforms from params
+			genericModelParams.dlTransfroms = DLTransformsFactory.makeDLTransforms((ArrayList<DLTransfromParams>)genericModelParams.dlTransfromParams); 
+		}
+		
 		genericModelWorker.setModelTransforms(genericModelParams.dlTransfroms);
 
 
diff --git a/src/rawDeepLearningClassifier/dlClassification/ketos/KetosWorker.java b/src/rawDeepLearningClassifier/dlClassification/ketos/KetosWorker.java
index 85de0e4d..c3c6f161 100644
--- a/src/rawDeepLearningClassifier/dlClassification/ketos/KetosWorker.java
+++ b/src/rawDeepLearningClassifier/dlClassification/ketos/KetosWorker.java
@@ -120,11 +120,7 @@ public class KetosWorker extends DLModelWorker<KetosResult> {
 //								System.out.println("Class name " + i + "  "  + dlParams.classNames[i]); 
 //							}
 //						}
-			
-	
 //			ketosDLParams.classNames = dlControl.getClassNameManager().makeClassNames(ketosParams.classNames); 
-
-			
 //									if (ketosParams.classNames!=null) {
 //										for (int i = 0; i<ketosDLParams.classNames.length; i++) {
 //											System.out.println("Class name " + i + "  "  + ketosDLParams.classNames[i].className + " ID " + ketosDLParams.classNames[i].ID );