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New confusion natrix #392
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New confusion natrix #392
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10 changes: 10 additions & 0 deletions
10
inputJsonsFiles/ConnectionMap/conn_EEG_5Router8Clients3Source_EEG.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,10 @@ | ||
| { | ||
| "connectionsMap": | ||
| { | ||
| "r1":["mainServer", "c1", "c2", "r2"], | ||
| "r2":["c3","c4", "s1", "r3"], | ||
| "r3":["c5","c6", "r4", "r1"], | ||
| "r4":["s2","c7", "r5", "r2"], | ||
| "r5":["s3","c8", "r1"] | ||
| } | ||
| } |
221 changes: 221 additions & 0 deletions
221
inputJsonsFiles/DistributedConfig/dc_EEG_8d_8c_3s_5r_8w_RR.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,221 @@ | ||
| { | ||
| "nerlnetSettings": { | ||
| "frequency": "5", | ||
| "batchSize": "10" | ||
| }, | ||
| "mainServer": { | ||
| "port": "8900", | ||
| "args": "" | ||
| }, | ||
| "apiServer": { | ||
| "port": "8901", | ||
| "args": "" | ||
| }, | ||
| "devices": [ | ||
| { | ||
| "name": "c0VM5", | ||
| "ipv4": "10.0.0.11", | ||
| "entities": "apiServer,mainServer" | ||
| }, | ||
| { | ||
| "name": "c0VM4", | ||
| "ipv4": "10.0.0.10", | ||
| "entities": "c3" | ||
| }, | ||
| { | ||
| "name": "c0VM6", | ||
| "ipv4": "10.0.0.8", | ||
| "entities": "c1,r3" | ||
| }, | ||
| { | ||
| "name": "c0VM7", | ||
| "ipv4": "10.0.0.12", | ||
| "entities": "c2,r4" | ||
| }, | ||
| { | ||
| "name": "nerlSpilke0", | ||
| "ipv4": "10.0.0.32", | ||
| "entities": "s2,r5,c4" | ||
| }, | ||
| { | ||
| "name": "nerlSpilke1", | ||
| "ipv4": "10.0.0.33", | ||
| "entities": "s3,c5" | ||
| }, | ||
| { | ||
| "name": "nerlSpilke2", | ||
| "ipv4": "10.0.0.34", | ||
| "entities": "s1,r2,c6" | ||
| }, | ||
| { | ||
| "name": "nerlSpilke3", | ||
| "ipv4": "10.0.0.35", | ||
| "entities": "r1,c7,c8" | ||
| } | ||
| ], | ||
| "routers": [ | ||
| { | ||
| "name": "r1", | ||
| "port": "8902", | ||
| "policy": "0" | ||
| }, | ||
| { | ||
| "name": "r2", | ||
| "port": "8903", | ||
| "policy": "0" | ||
| }, | ||
| { | ||
| "name": "r3", | ||
| "port": "8904", | ||
| "policy": "0" | ||
| }, | ||
| { | ||
| "name": "r4", | ||
| "port": "8905", | ||
| "policy": "0" | ||
| }, | ||
| { | ||
| "name": "r5", | ||
| "port": "8906", | ||
| "policy": "0" | ||
| } | ||
| ], | ||
| "sources": [ | ||
| { | ||
| "name": "s1", | ||
| "port": "8907", | ||
| "frequency": "5", | ||
| "policy": "0", | ||
| "epochs": "1", | ||
| "type": "0" | ||
| }, | ||
| { | ||
| "name": "s2", | ||
| "port": "8908", | ||
| "frequency": "5", | ||
| "policy": "0", | ||
| "epochs": "1", | ||
| "type": "0" | ||
| }, | ||
| { | ||
| "name": "s3", | ||
| "port": "8909", | ||
| "frequency": "5", | ||
| "policy": "0", | ||
| "epochs": "1", | ||
| "type": "0" | ||
| } | ||
| ], | ||
| "clients": [ | ||
| { | ||
| "name": "c1", | ||
| "port": "8910", | ||
| "workers": "w1" | ||
| }, | ||
| { | ||
| "name": "c2", | ||
| "port": "8911", | ||
| "workers": "w2" | ||
| }, | ||
| { | ||
| "name": "c3", | ||
| "port": "8912", | ||
| "workers": "w3" | ||
| }, | ||
| { | ||
| "name": "c4", | ||
| "port": "8913", | ||
| "workers": "w4" | ||
| }, | ||
| { | ||
| "name": "c5", | ||
| "port": "8914", | ||
| "workers": "w5" | ||
| }, | ||
| { | ||
| "name": "c6", | ||
| "port": "8915", | ||
| "workers": "w6" | ||
| }, | ||
| { | ||
| "name": "c7", | ||
| "port": "8916", | ||
| "workers": "w7" | ||
| }, | ||
| { | ||
| "name": "c8", | ||
| "port": "8917", | ||
| "workers": "w8" | ||
| } | ||
| ], | ||
| "workers": [ | ||
| { | ||
| "name": "w1", | ||
| "model_sha": "d8df752e0a2e8f01de8f66e9cec941cdbc65d144ecf90ab7713e69d65e7e82aa" | ||
| }, | ||
| { | ||
| "name": "w2", | ||
| "model_sha": "d8df752e0a2e8f01de8f66e9cec941cdbc65d144ecf90ab7713e69d65e7e82aa" | ||
| }, | ||
| { | ||
| "name": "w3", | ||
| "model_sha": "d8df752e0a2e8f01de8f66e9cec941cdbc65d144ecf90ab7713e69d65e7e82aa" | ||
| }, | ||
| { | ||
| "name": "w4", | ||
| "model_sha": "d8df752e0a2e8f01de8f66e9cec941cdbc65d144ecf90ab7713e69d65e7e82aa" | ||
| }, | ||
| { | ||
| "name": "w5", | ||
| "model_sha": "d8df752e0a2e8f01de8f66e9cec941cdbc65d144ecf90ab7713e69d65e7e82aa" | ||
| }, | ||
| { | ||
| "name": "w6", | ||
| "model_sha": "d8df752e0a2e8f01de8f66e9cec941cdbc65d144ecf90ab7713e69d65e7e82aa" | ||
| }, | ||
| { | ||
| "name": "w7", | ||
| "model_sha": "d8df752e0a2e8f01de8f66e9cec941cdbc65d144ecf90ab7713e69d65e7e82aa" | ||
| }, | ||
| { | ||
| "name": "w8", | ||
| "model_sha": "d8df752e0a2e8f01de8f66e9cec941cdbc65d144ecf90ab7713e69d65e7e82aa" | ||
| } | ||
| ], | ||
| "model_sha": { | ||
| "d8df752e0a2e8f01de8f66e9cec941cdbc65d144ecf90ab7713e69d65e7e82aa": { | ||
| "modelType": "0", | ||
| "_doc_modelType": " nn:0 | approximation:1 | classification:2 | forecasting:3 | image-classification:4 | text-classification:5 | text-generation:6 | auto-association:7 | autoencoder:8 | ae-classifier:9 |", | ||
| "modelArgs": "", | ||
| "layersSizes": "70x1x1k5x1x1x64p0s1t0,66x1x64k2x1p0s1,65x1x64k5x1x64x64p0s1t0,61x1x64k2x1p0s1,60x1x64k5x1x64x32p0s1t0,1,32,16,9", | ||
| "_doc_layersSizes": "List of postive integers [L0, L1, ..., LN]", | ||
| "layerTypesList": "2,4,2,4,2,9,3,3,3", | ||
| "_doc_LayerTypes": " Default:0 | Scaling:1 | CNN:2 | Perceptron:3 | Pooling:4 | Probabilistic:5 | LSTM:6 | Reccurrent:7 | Unscaling:8 | Flatten:9 | Bounding:10 |", | ||
| "layers_functions": "11,2,11,2,11,1,6,6,11", | ||
| "_doc_layers_functions_activation": " Threshold:1 | Sign:2 | Logistic:3 | Tanh:4 | Linear:5 | ReLU:6 | eLU:7 | SeLU:8 | Soft-plus:9 | Soft-sign:10 | Hard-sigmoid:11 |", | ||
| "_doc_layer_functions_pooling": " none:1 | Max:2 | Avg:3 |", | ||
| "_doc_layer_functions_probabilistic": " Binary:1 | Logistic:2 | Competitive:3 | Softmax:4 |", | ||
| "_doc_layer_functions_scaler": " none:1 | MinMax:2 | MeanStd:3 | STD:4 | Log:5 |", | ||
| "lossMethod": "2", | ||
| "_doc_lossMethod": " SSE:1 | MSE:2 | NSE:3 | MinkowskiE:4 | WSE:5 | CEE:6 |", | ||
| "lossArgs": "", | ||
| "_doc_lossArgs": "Arguments to loss function. Regularization: reg=L2, reg=L1, reg=NoRegularization (can be also empty)", | ||
| "lr": "0.00001", | ||
| "_doc_lr": "Positve float", | ||
| "epochs": "1", | ||
| "_doc_epochs": "Positve Integer", | ||
| "optimizer": "5", | ||
| "_doc_optimizer": " GD:0 | CGD:1 | SGD:2 | QuasiNeuton:3 | LVM:4 | ADAM:5 |", | ||
| "optimizerArgs": "", | ||
| "_doc_optimizerArgs": "String", | ||
| "infraType": "0", | ||
| "_doc_infraType": " opennn:0 | wolfengine:1 |", | ||
| "distributedSystemType": "0", | ||
| "_doc_distributedSystemType": " none:0 | fedClientAvg:1 | fedServerAvg:2 |", | ||
| "distributedSystemArgs": "", | ||
| "_doc_distributedSystemArgs": "String", | ||
| "distributedSystemToken": "none", | ||
| "_doc_distributedSystemToken": "Token that associates distributed group of workers and parameter-server" | ||
| } | ||
| } | ||
| } |
69 changes: 69 additions & 0 deletions
69
inputJsonsFiles/experimentsFlow/exp_EEG_3s_8w_3people_RR.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,69 @@ | ||
| { | ||
| "experimentName": "EEG_Valence_Recognition_DEAP", | ||
| "experimentType": "classification", | ||
| "batchSize": 10, | ||
| "csvFilePath": "/home/nerlnet/workspace/1_3_persons_normalize_bins_valence.csv", | ||
| "numOfFeatures": "70", | ||
| "numOfLabels": "9", | ||
| "headersNames": "1,2,3,4,5,6,7,8,9", | ||
| "Phases": | ||
|
|
||
| [ | ||
| { | ||
| "phaseName": "training_phase", | ||
| "phaseType": "training", | ||
| "sourcePieces": | ||
| [ | ||
| { | ||
| "sourceName": "s1", | ||
| "startingSample": "0", | ||
| "numOfBatches": "20", | ||
| "workers": "w1,w4,w7", | ||
| "nerltensorType": "float" | ||
| }, | ||
| { | ||
| "sourceName": "s2", | ||
| "startingSample": "19520", | ||
| "numOfBatches": "20", | ||
| "workers": "w2,w5,w8", | ||
| "nerltensorType": "float" | ||
| }, | ||
| { | ||
| "sourceName": "s3", | ||
| "startingSample": "39040", | ||
| "numOfBatches": "20", | ||
| "workers": "w3,w6", | ||
| "nerltensorType": "float" | ||
| } | ||
| ] | ||
| }, | ||
| { | ||
| "phaseName": "prediction_phase", | ||
| "phaseType": "prediction", | ||
| "sourcePieces": | ||
| [ | ||
| { | ||
| "sourceName": "s1", | ||
| "startingSample": "15610", | ||
| "numOfBatches": "2", | ||
| "workers": "w1,w4,w7", | ||
| "nerltensorType": "float" | ||
| }, | ||
| { | ||
| "sourceName": "s2", | ||
| "startingSample": "35130", | ||
| "numOfBatches": "2", | ||
| "workers": "w2,w5,w8", | ||
| "nerltensorType": "float" | ||
| }, | ||
| { | ||
| "sourceName": "s3", | ||
| "startingSample": "54650", | ||
| "numOfBatches": "2", | ||
| "workers": "w3,w6", | ||
| "nerltensorType": "float" | ||
| } | ||
| ] | ||
| } | ||
| ] | ||
| } |
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What does it mean No sample?
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that means that in each sample there is only 1 predicted label
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I still don't understand why no sample.