fit Dataset with params from UI
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@@ -68,7 +68,8 @@ function newSuperalgosFunctionLibraryLearningSessionFunctions() {
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'Environment Flags->Debug Mode->Production Mode->' +
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'Supervised Learning->Unsupervised Learning->Self Learning->Reinforcement Learning->' +
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'Artificial Neural Network->Model->' +
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'Optimizer->Loss Function->Metrics->' +
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'Compile->Optimizer->Loss Function->Metrics->' +
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'Fit Dataset->Verbose->Epochs->Callbacks->' +
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'Layers API->Code API->' +
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'Secuential Model->Functional Model->' +
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'Input Layer->Secuential Layer->Output Layer->'+
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@@ -354,25 +354,17 @@
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{
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"action": "Add UI Object",
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"disableIfPropertyIsDefined": true,
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"propertyToCheckFor": "optimizer",
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"label": "Add Optimizer",
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"relatedUiObject": "Optimizer",
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"propertyToCheckFor": "compile",
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"label": "Add Compile",
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"relatedUiObject": "Compile",
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"actionFunction": "payload.executeAction"
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},
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{
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"action": "Add UI Object",
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"disableIfPropertyIsDefined": true,
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"propertyToCheckFor": "lossFunction",
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"label": "Add Loss Function",
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"relatedUiObject": "Loss Function",
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"actionFunction": "payload.executeAction"
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},
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{
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"action": "Add UI Object",
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"disableIfPropertyIsDefined": true,
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"propertyToCheckFor": "metrics",
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"label": "Add Metrics",
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"relatedUiObject": "Metrics",
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"propertyToCheckFor": "fitDataset",
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"label": "Add Fit Dataset",
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"relatedUiObject": "Fit Dataset",
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"actionFunction": "payload.executeAction"
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},
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{
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@@ -408,6 +400,63 @@
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"type": "node",
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"childType": "Core API"
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},
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{
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"name": "compile",
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"type": "node",
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"childType": "Compile"
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},
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{
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"name": "fitDataset",
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"type": "node",
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"childType": "Fit Dataset"
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}
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],
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"icon": "tensorflow"
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},
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{
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"type": "Compile",
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"menuItems": [
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{
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"action": "Add UI Object",
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"disableIfPropertyIsDefined": true,
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"propertyToCheckFor": "optimizer",
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"label": "Add Optimizer",
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"relatedUiObject": "Optimizer",
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"actionFunction": "payload.executeAction"
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},
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{
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"action": "Add UI Object",
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"disableIfPropertyIsDefined": true,
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"propertyToCheckFor": "lossFunction",
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"label": "Add Loss Function",
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"relatedUiObject": "Loss Function",
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"actionFunction": "payload.executeAction"
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},
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{
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"action": "Add UI Object",
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"disableIfPropertyIsDefined": true,
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"propertyToCheckFor": "metrics",
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"label": "Add Metrics",
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"relatedUiObject": "Metrics",
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"actionFunction": "payload.executeAction"
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},
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{
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"action": "Delete UI Object",
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"askConfirmation": true,
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"confirmationLabel": "Confirm to Delete",
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"label": "Delete",
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"iconPathOn": "delete-entity",
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"iconPathOff": "delete-entity",
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"actionFunction": "payload.executeAction"
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}
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],
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"addLeftIcons": true,
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"level": 3,
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"attachingRules": {
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"compatibleTypes": "->Model->"
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},
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"propertyNameAtParent": "model",
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"childrenNodesProperties": [
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{
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"name": "optimizer",
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"type": "node",
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@@ -426,6 +475,173 @@
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],
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"icon": "tensorflow"
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},
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{
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"type": "Fit Dataset",
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"menuItems": [
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{
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"action": "Add UI Object",
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"disableIfPropertyIsDefined": true,
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"propertyToCheckFor": "verbose",
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"label": "Add Verbose",
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"relatedUiObject": "Verbose",
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"actionFunction": "payload.executeAction"
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},
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{
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"action": "Add UI Object",
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"disableIfPropertyIsDefined": true,
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"propertyToCheckFor": "epochs",
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"label": "Add Epochs",
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"relatedUiObject": "Epochs",
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"actionFunction": "payload.executeAction"
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},
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{
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"action": "Add UI Object",
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"disableIfPropertyIsDefined": true,
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"propertyToCheckFor": "callbacks",
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"label": "Add Callbacks",
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"relatedUiObject": "Callbacks",
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"actionFunction": "payload.executeAction"
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},
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{
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"action": "Delete UI Object",
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"askConfirmation": true,
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"confirmationLabel": "Confirm to Delete",
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"label": "Delete",
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"iconPathOn": "delete-entity",
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"iconPathOff": "delete-entity",
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"actionFunction": "payload.executeAction"
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}
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],
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"addLeftIcons": true,
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"level": 3,
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"attachingRules": {
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"compatibleTypes": "->Model->"
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},
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"propertyNameAtParent": "model",
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"childrenNodesProperties": [
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{
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"name": "verbose",
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"type": "node",
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"childType": "Verbose"
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},
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{
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"name": "epochs",
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"type": "node",
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"childType": "Epochs"
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},
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{
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"name": "callbacks",
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"type": "node",
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"childType": "Callbacks"
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}
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],
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"icon": "tensorflow"
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},
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{
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"type": "Verbose",
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"menuItems": [
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{
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"action": "Configure",
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"label": "Configure",
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"iconPathOn": "configuration",
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"iconPathOff": "configuration",
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"actionFunction": "uiObject.configEditor.activate"
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},
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{
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"action": "Delete UI Object",
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"askConfirmation": true,
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"confirmationLabel": "Confirm to Delete",
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"label": "Delete",
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"iconPathOn": "delete-entity",
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"iconPathOff": "delete-entity",
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"actionFunction": "payload.executeAction"
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}
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],
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"editors": {
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"config": true
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},
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"initialValues": {
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"config": "{ \n \"value\": 1\n}"
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},
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"addLeftIcons": true,
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"level": 3,
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"attachingRules": {
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"compatibleTypes": "->Fit Dataset->"
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},
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"propertyNameAtParent": "verbose",
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"childrenNodesProperties": [],
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"icon": "tensorflow"
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},
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{
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"type": "Epochs",
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"menuItems": [
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{
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"action": "Configure",
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"label": "Configure",
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"iconPathOn": "configuration",
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"iconPathOff": "configuration",
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"actionFunction": "uiObject.configEditor.activate"
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},
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{
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"action": "Delete UI Object",
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"askConfirmation": true,
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"confirmationLabel": "Confirm to Delete",
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"label": "Delete",
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"iconPathOn": "delete-entity",
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"iconPathOff": "delete-entity",
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"actionFunction": "payload.executeAction"
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}
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],
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"editors": {
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"config": true
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},
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"initialValues": {
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"config": "{ \n \"value\": 1\n}"
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},
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"addLeftIcons": true,
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"level": 3,
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"attachingRules": {
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"compatibleTypes": "->Fit Dataset->"
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},
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"propertyNameAtParent": "epochs",
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"childrenNodesProperties": [],
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"icon": "tensorflow"
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},
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{
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"type": "Callbacks",
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"menuItems": [
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{
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"action": "Configure",
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"label": "Configure",
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"iconPathOn": "configuration",
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"iconPathOff": "configuration",
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"actionFunction": "uiObject.configEditor.activate"
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},
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{
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"action": "Delete UI Object",
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"askConfirmation": true,
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"confirmationLabel": "Confirm to Delete",
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"label": "Delete",
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"iconPathOn": "delete-entity",
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"iconPathOff": "delete-entity",
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"actionFunction": "payload.executeAction"
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}
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],
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"editors": {
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"config": true
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},
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"initialValues": {
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"config": "{ \n \"value\": \"\"\n}"
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},
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"addLeftIcons": true,
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"level": 3,
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"attachingRules": {
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"compatibleTypes": "->Fit Dataset->"
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},
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"propertyNameAtParent": "callbacks",
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"childrenNodesProperties": [],
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"icon": "tensorflow"
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},
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{
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"type": "Optimizer",
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"menuItems": [
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@@ -455,7 +671,7 @@
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"addLeftIcons": true,
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"level": 3,
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"attachingRules": {
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"compatibleTypes": "->Model->"
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"compatibleTypes": "->Compile->"
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},
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"propertyNameAtParent": "optimizer",
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"childrenNodesProperties": [],
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@@ -490,7 +706,7 @@
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"addLeftIcons": true,
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"level": 3,
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"attachingRules": {
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"compatibleTypes": "->Model->"
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"compatibleTypes": "->Compile->"
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},
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"propertyNameAtParent": "lossFunction",
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"childrenNodesProperties": [],
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@@ -520,12 +736,12 @@
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"config": true
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},
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"initialValues": {
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"config": "{ \n \"value\": [\"accuracy\"]\n}"
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"config": "{ \n \"value\": [\"acc\"]\n}"
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},
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"addLeftIcons": true,
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"level": 3,
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"attachingRules": {
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"compatibleTypes": "->Model->"
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"compatibleTypes": "->Compile->"
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},
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"propertyNameAtParent": "metrics",
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"childrenNodesProperties": [],
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+36
-13
@@ -242,34 +242,38 @@ exports.newTensorFlowBotModulesTensorFlowLibrary = function (processIndex) {
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}
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function compileModel() {
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if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.optimizer === undefined) {
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if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.compile === undefined) {
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//TODO
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return
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}
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if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.optimizer.config.value === undefined) {
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if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.compile.optimizer === undefined) {
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//TODO
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return
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}
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if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.lossFunction === undefined) {
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if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.compile.optimizer.config.value === undefined) {
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//TODO
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return
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}
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if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.lossFunction.config.value === undefined) {
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if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.compile.lossFunction === undefined) {
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//TODO
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return
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}
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if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.metrics === undefined) {
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if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.compile.lossFunction.config.value === undefined) {
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//TODO
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return
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}
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if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.metrics.config.value === undefined) {
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if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.compile.metrics === undefined) {
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//TODO
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return
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}
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if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.compile.metrics.config.value === undefined) {
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//TODO
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return
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}
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let compileArgs = {
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optimizer: learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.optimizer.config.value,
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loss: learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.lossFunction.config.value /*,
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metrics: [learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.metrics.config.value]*/
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optimizer: learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.compile.optimizer.config.value,
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loss: learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.compile.lossFunction.config.value /*,
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metrics: [learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.compile.metrics.config.value]*/
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}
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tensorFlowModel.compile(compileArgs)
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@@ -366,11 +370,30 @@ exports.newTensorFlowBotModulesTensorFlowLibrary = function (processIndex) {
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const xs = tensorFlowData.generator(featuresGenerator)
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const ys = tensorFlowData.generator(labelsGenerator)
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const ds = tensorFlowData.zip({xs, ys}).shuffle(1).batch(1)
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const ds = tensorFlowData.zip({ xs, ys }).shuffle(1).batch(1)
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let verbose = 0
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let ecpochs = 1
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if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.fitDataset !== undefined) {
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if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.fitDataset.verbose !== undefined) {
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if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.fitDataset.verbose.config.value !== undefined) {
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verbose = learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.fitDataset.verbose.config.value
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}
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}
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}
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if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.fitDataset !== undefined) {
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if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.fitDataset.epochs !== undefined) {
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if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.fitDataset.epochs.config.value !== undefined) {
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ecpochs = learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.fitDataset.epochs.config.value
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}
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}
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}
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await tensorFlowModel.fitDataset(ds, {
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verbose: 1,
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epochs: 10
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verbose: verbose,
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epochs: ecpochs
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})
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tensorFlowModel.summary()
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