[GitHub] [systemml] j143 commented on pull request #925: Implementation of Neural Collaborative Filtering (NCF)

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j143 commented on pull request #925:
URL: https://github.com/apache/systemml/pull/925#issuecomment-636596186


   Output on my end: 🔢 
   Graph output:
   
![image](https://user-images.githubusercontent.com/53068787/83373795-34fd2680-a3e7-11ea-9d31-bd7f475319b5.png)
   
   log (first few lines):
   `bin/systemds target/SystemDS.jar -f scripts/nn/examples/ncf-real-data.dml`
   ```console
   Executing command:     java       -Xmx4g      -Xms4g      -Xmn400m   -cp 
target/SystemDS.jar:./lib/*:./target/lib/*   
-Dlog4j.configuration=file:conf/log4j-silent.properties   
org.apache.sysds.api.DMLScript   -f scripts/nn/examples/ncf-real-data.dml   
-exec singlenode      
   
   Done reading.
   Done encoding.
   NCF training starting with 80670 training samples, 20168 validation samples, 
193609 items and 610 users...
   Epoch: 1, Iter: 1, Train Loss: 0.707747965832602, Train Accuracy: 0.125, Val 
Loss: 0.7174051262289975, Val Accuracy: 0.16322887742959147
   Epoch: 1, Iter: 101, Train Loss: 0.0019915228635854288, Train Accuracy: 1.0, 
Val Loss: 0.00204491822016021, Val Accuracy: 1.0
   Epoch: 1, Iter: 201, Train Loss: 4.2908920275443456E-4, Train Accuracy: 1.0, 
Val Loss: 4.3745282125570923E-4, Val Accuracy: 1.0
   Epoch: 1, Iter: 301, Train Loss: 1.9717089553763218E-4, Train Accuracy: 1.0, 
Val Loss: 1.9359771305085208E-4, Val Accuracy: 1.0
   Epoch: 1, Iter: 401, Train Loss: 1.0429772240279489E-4, Train Accuracy: 1.0, 
Val Loss: 1.0826596717454964E-4, Val Accuracy: 1.0
   Epoch: 1, Iter: 501, Train Loss: 5.9287790346766694E-5, Train Accuracy: 1.0, 
Val Loss: 6.882931463477808E-5, Val Accuracy: 1.0
   Epoch: 1, Iter: 601, Train Loss: 5.664888697342753E-5, Train Accuracy: 1.0, 
Val Loss: 4.7765565448656784E-5, Val Accuracy: 1.0
   Epoch: 1, Iter: 701, Train Loss: 3.255122311021885E-5, Train Accuracy: 1.0, 
Val Loss: 3.477534652921848E-5, Val Accuracy: 1.0
   Epoch: 1, Iter: 801, Train Loss: 3.084381497330652E-5, Train Accuracy: 1.0, 
Val Loss: 2.6579394310844034E-5, Val Accuracy: 1.0
   Epoch: 1, Iter: 901, Train Loss: 2.3561183906885313E-5, Train Accuracy: 1.0, 
Val Loss: 2.1187621742893348E-5, Val Accuracy: 1.0
   Epoch: 1, Iter: 1001, Train Loss: 1.3961509447494607E-5, Train Accuracy: 
1.0, Val Loss: 1.7119065813537224E-5, Val Accuracy: 1.0
   Epoch: 1, Iter: 1101, Train Loss: 1.2252708016537367E-5, Train Accuracy: 
1.0, Val Loss: 1.4191927338834147E-5, Val Accuracy: 1.0
   ```


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