TensorFlow library initialized

Projects/TensorFlow/Schemas/AppSchema.json

@@ -525,7 +525,7 @@
                 "action": "Add UI Object",
                 "disableIfPropertyIsDefined": true,
                 "propertyToCheckFor": "layerType",
-                "label": "Add Advanced Activation Layers",
+                "label": "Add Activation Layers",
                 "relatedUiObject": "Advanced Activation Layers",
                 "actionFunction": "payload.executeAction"
             },

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/TensorFlowLibrary.js

@@ -0,0 +1,99 @@
+exports.newTensorFlowBotModulesTensorFlowLibrary = function (processIndex) {
+
+    const MODULE_NAME = 'Time Series Forcasting Tensor Flow JS Learning Algorithm'
+    let thisObject = {
+        updateChart: updateChart,
+        mantain: mantain,
+        reset: reset,
+        run: run,
+        initialize: initialize,
+        finalize: finalize
+    }
+
+    let learningEngine
+    let learningSystem
+    let sessionParameters
+
+    /* 
+    These 3 are the main data structures available to users
+    when writing conditions and formulas.
+    */
+    let chart
+    let exchange
+    let market
+
+    return thisObject
+
+    function initialize(callbackFunction) {
+        learningSystem = TS.projects.superalgos.globals.processVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).SIMULATION_STATE.learningSystem
+        learningEngine = TS.projects.superalgos.globals.processVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).SIMULATION_STATE.learningEngine
+        sessionParameters = TS.projects.superalgos.globals.processConstants.CONSTANTS_BY_PROCESS_INDEX_MAP.get(processIndex).SESSION_NODE.learningParameters
+
+        callbackFunction(TS.projects.superalgos.globals.standardResponses.DEFAULT_OK_RESPONSE)
+    }
+
+    function finalize() {
+        learningEngine = undefined
+        learningSystem = undefined
+        sessionParameters = undefined
+
+        chart = undefined
+        exchange = undefined
+        market = undefined
+    }
+
+    function updateChart(pChart, pExchange, pMarket) {
+        /* 
+          We need these 3 data structures  to be a local objects 
+          accessible while evaluating conditions and formulas.
+          */
+        chart = pChart
+        exchange = pExchange
+        market = pMarket
+    }
+
+    function mantain() {
+ 
+    }
+
+    function reset() {
+    }
+
+    function run(callbackFunction) {
+        /*
+        Do your magic here...
+        */
+
+        /*
+        if all is good, return this...
+        */
+        callbackFunction(TS.projects.superalgos.globals.standardResponses.DEFAULT_OK_RESPONSE)
+
+        /*
+        if something is bad, return this...
+        */
+        //callbackFunction(TS.projects.superalgos.globals.standardResponses.DEFAULT_FAIL_RESPONSE)
+
+    }
+
+    function badDefinitionUnhandledException(err, message, node) {
+
+        let docs = {
+            project: 'Superalgos',
+            category: 'Topic',
+            type: 'TS LF Learning Bot Error - ' + message,
+            placeholder: {}
+        }
+
+        learningSystem.addError([node.id, message, docs])
+
+        TS.projects.superalgos.globals.loggerVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).BOT_MAIN_LOOP_LOGGER_MODULE_OBJECT.write(MODULE_NAME, "[ERROR] -> " + message);
+        TS.projects.superalgos.globals.loggerVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).BOT_MAIN_LOOP_LOGGER_MODULE_OBJECT.write(MODULE_NAME, "[ERROR] -> node.name = " + node.name);
+        TS.projects.superalgos.globals.loggerVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).BOT_MAIN_LOOP_LOGGER_MODULE_OBJECT.write(MODULE_NAME, "[ERROR] -> node.type = " + node.type);
+        TS.projects.superalgos.globals.loggerVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).BOT_MAIN_LOOP_LOGGER_MODULE_OBJECT.write(MODULE_NAME, "[ERROR] -> node.config = " + JSON.stringify(node.config));
+        if (err !== undefined) {
+            TS.projects.superalgos.globals.loggerVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).BOT_MAIN_LOOP_LOGGER_MODULE_OBJECT.write(MODULE_NAME, "[ERROR] -> err.stack = " + err.stack);
+        }
+        throw 'Error Already Recorded'
+    }
+}