Beispiel #1
0
 public Automator()
 {
     Util.LoadJsonFromLocation(configPath, ref config);
     // Create an Instance of AnacondaSettings which will also Load Json in Constructor
     anacondaSettings = new AnacondaSettings();
     // Create our Logger, it'll do a prilimary check to make sure folders exist
     researchTracker = new ResearchTracker();
     // Creates the Instance for Trainer which loads Json and will also generate new Trainning Data
     if (!int.TryParse(config["STEPS"], out int steps))
     {
         steps = 5;
         Util.PrintConsoleMessage(ConsoleColor.Yellow, $"Failed to parse config.json for Steps, STEPS = 5");
     }
     if (!bool.TryParse(config["SKIPSAMETRAINER"], out bool skipSameTrainers))
     {
         skipSameTrainers = true;
         Util.PrintConsoleMessage(ConsoleColor.Yellow, $"Failed to parse config.json for SkipSameTrainer, SKIPSAMETRAINER = true");
     }
     trainerGenerator = new TrainerGenerator(researchTracker, steps, skipSameTrainers);
     Util.PrintConsoleMessage(ConsoleColor.Green, $"All Configs Loaded.");
 }
        public TrainerGenerator(ResearchTracker tracker, int steps, bool skipSameTrainer = true)
        {
            researchTracker  = tracker;
            trainingSteps    = steps;
            skipSameTrainers = skipSameTrainer;
            Util.PrintConsoleMessage(ConsoleColor.Green, $"TrainerGenerator using {steps} step{ (steps > 1 ? "s" : string.Empty)} for training");
            // Load our JSON files into dictionaries so that we can manipulate these when generating new Trainning Data.
            Util.LoadJsonFromLocation(trainingDefaultsPath, ref trainingDefaultConfig);
            Util.LoadJsonFromLocation(trainingMaxPath, ref trainingMaxConfig);
            // Read contents of file to our Yaml.
            regexYamlString = Util.ReadFile(regexYamlTrainerPath);
            // How many times we train at the current 'base' value with the combination of configurations
            SessionsPerStep = trainingMaxConfig.Count + 1;

            trainningIterationValues = new Dictionary <string, float>();
            foreach (var item in trainingMaxConfig.Keys)
            {
                // We know how many Steps we need to train, so we can generate the value we can quickly multiply instead of doing ((Max-Default)/Sessions) each session
                trainningIterationValues.Add(item, ((float.Parse(trainingMaxConfig[item]) - float.Parse(trainingDefaultConfig[item])) / (trainingSteps - 1)));
            }
        }