gCubeSystem
/
ecological-engine
15
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

git-svn-id: https://svn.d4science.research-infrastructures.eu/gcube/trunk/data-analysis/EcologicalEngine@60412 82a268e6-3cf1-43bd-a215-b396298e98cf

This commit is contained in:
Gianpaolo Coro 2012-10-24 15:34:22 +00:00
parent eccf3d2b0b
commit c3fc893b0b
2 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
src/main/java/org/gcube/dataanalysis/ecoengine/models/ModelAquamapsNN.java
View File

@ -53,7 +53,7 @@ public class ModelAquamapsNN implements Model {
InputTable p1 = new InputTable(templatesOccurrences,"AbsenceDataTable","A Table containing absence points"); InputTable p1 = new InputTable(templatesOccurrences,"AbsenceDataTable","A Table containing absence points");
InputTable p2 = new InputTable(templatesOccurrences,"PresenceDataTable","A Table containing positive occurrences"); InputTable p2 = new InputTable(templatesOccurrences,"PresenceDataTable","A Table containing positive occurrences");
PrimitiveType p3 = new PrimitiveType(String.class.getName(), null, PrimitiveTypes.STRING, "SpeciesName","Species Code of the fish the NN will correspond to","Fis-10407"); PrimitiveType p3 = new PrimitiveType(String.class.getName(), null, PrimitiveTypes.STRING, "SpeciesName","Species Code of the fish the NN will correspond to","Fis-30189");
PrimitiveTypesList p4 = new PrimitiveTypesList(Integer.class.getName(), PrimitiveTypes.NUMBER,"LayersNeurons","a list of neurons number for each inner layer",false); PrimitiveTypesList p4 = new PrimitiveTypesList(Integer.class.getName(), PrimitiveTypes.NUMBER,"LayersNeurons","a list of neurons number for each inner layer",false);
PrimitiveType p11 = new PrimitiveType(String.class.getName(), null, PrimitiveTypes.STRING, "NeuralNetworkName","The name of this Neural Network - insert without spaces","neuralnet_"); PrimitiveType p11 = new PrimitiveType(String.class.getName(), null, PrimitiveTypes.STRING, "NeuralNetworkName","The name of this Neural Network - insert without spaces","neuralnet_");

2
src/main/java/org/gcube/dataanalysis/ecoengine/models/ModelAquamapsNNNS.java
View File

@ -51,7 +51,7 @@ public class ModelAquamapsNNNS implements Model {
InputTable p1 = new InputTable(templatesOccurrences,"AbsenceDataTable","A Table containing absence points"); InputTable p1 = new InputTable(templatesOccurrences,"AbsenceDataTable","A Table containing absence points");
InputTable p2 = new InputTable(templatesOccurrences,"PresenceDataTable","A Table containing positive occurrences"); InputTable p2 = new InputTable(templatesOccurrences,"PresenceDataTable","A Table containing positive occurrences");
PrimitiveType p3 = new PrimitiveType(String.class.getName(), null, PrimitiveTypes.STRING, "SpeciesName","Species Code of the fish the NN will correspond to","Fis-10407"); PrimitiveType p3 = new PrimitiveType(String.class.getName(), null, PrimitiveTypes.STRING, "SpeciesName","Species Code of the fish the NN will correspond to","Fis-30189");
PrimitiveType p4 = new PrimitiveType(String.class.getName(), null, PrimitiveTypes.STRING, "LayersNeurons","a list of neurons number for each inner layer separated by comma","100,2"); PrimitiveType p4 = new PrimitiveType(String.class.getName(), null, PrimitiveTypes.STRING, "LayersNeurons","a list of neurons number for each inner layer separated by comma","100,2");
DatabaseType p5 = new DatabaseType(DatabaseParameters.DATABASEUSERNAME, "DatabaseUserName", "db user name"); DatabaseType p5 = new DatabaseType(DatabaseParameters.DATABASEUSERNAME, "DatabaseUserName", "db user name");