Merge pull request #648 from Luis-Fernando-Molina/develop

Contribution: Integration of Tensor Flow: Plotting Predictions
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Luis Fernando Molina authored and GitHub committed 2021-03-08 18:56:40 +01:00
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"childType": "End",
"autoAdd": true
},
{
"name": "featureValue",
"type": "node",
"childType": "Feature Value",
"autoAdd": true
}
],
"icon": "bitcoin"
},
{
"type": "Feature Value",
"menuItems": [
{
"action": "Configure",
"label": "Configure",
"iconPathOn": "configuration",
"iconPathOff": "configuration",
"actionFunction": "uiObject.configEditor.activate"
},
{
"action": "Copy Node Path",
"label": "Copy Node Path",
"iconPathOn": "copy-path",
"iconPathOff": "copy-path",
"actionFunction": "payload.executeAction"
},
{
"action": "Copy Node Value",
"label": "Copy Node Value",
"iconPathOn": "copy-value",
"iconPathOff": "copy-value",
"actionFunction": "payload.executeAction"
},
{
"action": "Copy Node Type",
"label": "Copy Node Type",
"iconPathOn": "copy-type",
"iconPathOff": "copy-type",
"actionFunction": "payload.executeAction"
},
{
"action": "Delete UI Object",
"askConfirmation": true,
"confirmationLabel": "Confirm to Delete",
"label": "Delete",
"iconPathOn": "delete-entity",
"iconPathOff": "delete-entity",
"actionFunction": "payload.executeAction"
}
],
"editors": {
"config": true
},
"initialValues": {
"config": "{\n\"initialValue\": 0\n}"
},
"addLeftIcons": true,
"level": 3,
"attachingRules": {
"compatibleTypes": "->Feature->"
},
"propertyNameAtParent": "featureValue",
"childrenNodesProperties": [
],
"icon": "bitcoin"
},
{
"type": "Labels",
"menuItems": [
{
"action": "Add UI Object",
"label": "Add Label",
"relatedUiObject": "Label",
"actionFunction": "payload.executeAction"
},
{
"action": "Delete UI Object",
"askConfirmation": true,
"confirmationLabel": "Confirm to Delete",
"label": "Delete",
"iconPathOn": "delete-entity",
"iconPathOff": "delete-entity",
"actionFunction": "payload.executeAction"
}
],
"addLeftIcons": true,
"level": 3,
"attachingRules": {
"compatibleTypes": "->Learning Engine->"
},
"propertyNameAtParent": "labels",
"childrenNodesProperties": [
{
"name": "labels",
"type": "array",
"childType": "Label",
"autoAdd": true
}
],
"icon": "bitcoin"
},
{
"type": "Label",
"menuItems": [
{
"action": "Configure",
"label": "Configure",
"iconPathOn": "configuration",
"iconPathOff": "configuration",
"actionFunction": "uiObject.configEditor.activate"
},
{
"action": "Add Missing Children",
"label": "Add Missing Children",
"relatedUiObject": "Learning Engine",
"actionFunction": "payload.executeAction"
},
{
"action": "Copy Node Path",
"label": "Copy Node Path",
"iconPathOn": "copy-path",
"iconPathOff": "copy-path",
"actionFunction": "payload.executeAction"
},
{
"action": "Copy Node Value",
"label": "Copy Node Value",
"iconPathOn": "copy-value",
"iconPathOff": "copy-value",
"actionFunction": "payload.executeAction"
},
{
"action": "Copy Node Type",
"label": "Copy Node Type",
"iconPathOn": "copy-type",
"iconPathOff": "copy-type",
"actionFunction": "payload.executeAction"
},
{
"action": "Delete UI Object",
"askConfirmation": true,
"confirmationLabel": "Confirm to Delete",
"label": "Delete",
"iconPathOn": "delete-entity",
"iconPathOff": "delete-entity",
"actionFunction": "payload.executeAction"
}
],
"editors": {
"config": true
},
"initialValues": {
"config": "{\n\"initialValue\": 0\n}"
},
"addLeftIcons": true,
"level": 3,
"attachingRules": {
"compatibleTypes": "->Labels->"
},
"propertyNameAtParent": "labels",
"childrenNodesProperties": [
{
"name": "begin",
"type": "node",
"childType": "Begin",
"autoAdd": true
},
{
"name": "end",
"type": "node",
"childType": "End",
"autoAdd": true
},
{
"name": "labelValue",
"type": "node",
"childType": "Label Value",
"autoAdd": true
}
],
"icon": "bitcoin"
},
{
"type": "Label Value",
"menuItems": [
{
"action": "Configure",
"label": "Configure",
"iconPathOn": "configuration",
"iconPathOff": "configuration",
"actionFunction": "uiObject.configEditor.activate"
},
{
"action": "Copy Node Path",
"label": "Copy Node Path",
"iconPathOn": "copy-path",
"iconPathOff": "copy-path",
"actionFunction": "payload.executeAction"
},
{
"action": "Copy Node Value",
"label": "Copy Node Value",
"iconPathOn": "copy-value",
"iconPathOff": "copy-value",
"actionFunction": "payload.executeAction"
},
{
"action": "Copy Node Type",
"label": "Copy Node Type",
"iconPathOn": "copy-type",
"iconPathOff": "copy-type",
"actionFunction": "payload.executeAction"
},
{
"action": "Delete UI Object",
"askConfirmation": true,
"confirmationLabel": "Confirm to Delete",
"label": "Delete",
"iconPathOn": "delete-entity",
"iconPathOff": "delete-entity",
"actionFunction": "payload.executeAction"
}
],
"editors": {
"config": true
},
"initialValues": {
"config": "{\n\"initialValue\": 0\n}"
},
"addLeftIcons": true,
"level": 3,
"attachingRules": {
"compatibleTypes": "->Label->"
},
"propertyNameAtParent": "labelValue",
"childrenNodesProperties": [
],
"icon": "bitcoin"
},
{
"type": "Dynamic Indicators",
"menuItems": [
@@ -45,10 +45,6 @@ exports.newSuperalgosBotModulesLearningRecords = function (processIndex) {
let product = dataset.parentNode
let outputDatasetArray = outputDatasetsMap.get(product.config.codeName)
if (product.config.codeName === 'Predictions') {
let a = 1
}
if (TS.projects.superalgos.globals.processVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).TRADING_PROCESSING_DAILY_FILES === true && dataset.config.type === 'Daily Files') {
persistRecords()
}
@@ -119,6 +119,8 @@ function newSuperalgosFunctionLibraryLearningSessionFunctions() {
'Serial Number->Identifier->Begin->End->Begin Rate->End Rate->Strategy Name->Status->Exit Type->' +
'Balance->Begin Balance->End Balance->' +
'Index->Situation Name->Formula->Periods->' +
'Features->Feature->Begin->End->Feature Value->'+
'Labels->Label->Begin->End->Label Value->'+
'Predictions->Prediction->Begin->End->Prediction Value->'
let learningEngine = UI.projects.superalgos.functionLibraries.protocolNode.getProtocolNode(node.learningEngineReference.payload.referenceParent, false, true, true, false, false, lightingPath)
@@ -3,7 +3,7 @@ function newPlotterPanel() {
const MODULE_NAME = 'Plotter Panel'
const ERROR_LOG = true
const logger = newWebDebugLog()
let thisObject = {
fitFunction: undefined,
@@ -23,6 +23,7 @@ function newPlotterPanel() {
let currentRecord
let upDownButton
let panelNode
let recordSet = new Map()
return thisObject
@@ -34,6 +35,7 @@ function newPlotterPanel() {
heightFactor = undefined
currentRecord = undefined
recordSet = undefined
upDownButton.finalize()
upDownButton = undefined
panelNode = undefined
@@ -79,6 +81,20 @@ function newPlotterPanel() {
function onRecordChange(pCurrentRecord) {
currentRecord = pCurrentRecord
if (currentRecord === undefined) {
recordSet = new Map()
return
}
if (currentRecord.index !== undefined) {
/*
There is a situation when we expect to receive many records
that are part of a set. We will know when when we detect the
property index. In that situation we will build the recordset
by adding each record to a Map by index.
*/
recordSet.set(currentRecord.index, currentRecord)
}
}
function draw() {
@@ -376,6 +376,14 @@ exports.newTensorFlowBotModulesTensorFlowLibrary = function (processIndex) {
if (dataFeature.featureFormula === undefined) { continue }
let featureValue = learningSystem.formulas.get(dataFeature.featureFormula.id)
features.push(featureValue)
/*
We will store at the Learning Engine data structure the features we have calculated.
*/
if (learningEngine.features.features[i] === undefined) { continue }
learningEngine.features.features[i].featureValue.value = featureValue
learningEngine.features.features[i].begin.value = learningEngine.learningCurrent.learningEpisode.candle.begin.value
learningEngine.features.features[i].end.value = learningEngine.learningCurrent.learningEpisode.candle.end.value
}
/*
@@ -419,6 +427,14 @@ exports.newTensorFlowBotModulesTensorFlowLibrary = function (processIndex) {
if (dataLabel.labelFormula === undefined) { continue }
let labelValue = learningSystem.formulas.get(dataLabel.labelFormula.id)
labels.push(labelValue)
/*
We will store at the Learning Engine data structure the labels we have calculated.
*/
if (learningEngine.labels.labels[i] === undefined) { continue }
learningEngine.labels.labels[i].labelValue.value = labelValue
learningEngine.labels.labels[i].begin.value = learningEngine.learningCurrent.learningEpisode.candle.begin.value
learningEngine.labels.labels[i].end.value = learningEngine.learningCurrent.learningEpisode.candle.end.value
}
tensorFlowData = require("@tensorflow/tfjs-data")