Satisfy some github error checks

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

@@ -284,7 +284,7 @@ exports.newMLDataObj = function(featureLen, labelLen) {
         let separator2 = "||||||||||||||||||||||||||||||||||||||||||||||||||";
         buf += separator;
         let fkLen = fkeys.length, fvLen = fvalues[0].length;
-        let lkLen = lkeys.length, lvLen = lvalues[0].length;
+        let lkLen = lkeys.length;
         console.log(buf);
 
         // Features / Labels Hard Numbers:
@@ -306,8 +306,6 @@ exports.newMLDataObj = function(featureLen, labelLen) {
 
         // Statistics:
         buf = separator2 + "\n" + separator + "\n\n" + topSeparator + "\nSuperalgos ML DataFrame Statistics:\n" + separator;
-        let fName = "Feature #";
-        let lName = "Label #";
         let statistics = stats.all();
         console.log(buf);
 

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

@@ -110,12 +110,12 @@ exports.newTensorFlowModelsManager = function (processIndex, learningSystem) {
                     layerFunction = _tensorFlowAPI.layers.dense
                     break
                 }
-                case ' ': {
+                /*case ' ': {
                     break
                 }
                 case ' ': {
                     break
-                }
+                }*/
                 default: {
                     TS.projects.foundations.globals.loggerVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).BOT_MAIN_LOOP_LOGGER_MODULE_OBJECT.write(MODULE_NAME,
                         '[WARN] Layer of type ' + layerNode.typeOfLayer.layer.type + ' not implemented yet.')