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)));
}
}
