public void Recover(Config conf, DataSet train)
{
_train = train;
_conf = conf;
FixedParams.AddRange(_surface.SubmitParameters());
FixedParams.AddRange(_act.SubmitParameters());
FixedParams.AddRange(_label.SubmitParameters());
FixedParams.AddRange(_actOutput.SubmitParameters());
FixedParams.AddRange(_labelOutput.SubmitParameters());
FixedParams.Add(_non);
AllParams.AddRange(FixedParams);
AllParams.AddRange(_formemb);
AllParams.AddRange(_posemb);
switch (_conf.OptType)
{
case OptType.sgd:
_opt = new Sgd(_conf.LearningRate, _conf.L2RegFactor, _conf.ClipBound, _conf.DecayRate,
train.Count);
break;
case OptType.adagrad:
_opt = new AdaGrad(_conf.LearningRate, _conf.L2RegFactor, _conf.ClipBound, _conf.Eps);
break;
case OptType.adam:
_opt = new Adam(_conf.LearningRate, _conf.L2RegFactor, _conf.ClipBound, 0.999f, 0.9f, 1e-8f);
break;
default:
throw new ArgumentOutOfRangeException(nameof(_conf.OptType), "unknown opt type");
}
}
double GetProgressFunctionValue(int x)
{
var expression = Procedure.ProgressFunction;
foreach (var param in AllParams)
{
expression = expression.Replace(param.Key, param.Value);
}
expression = expression.Replace("[x]", x.ToString());
// if (expression.Contains("design_object_complexity"))
if (AllParams.ContainsKey("[design_object_complexity]") && AllParams["[design_object_complexity]"] == null)
{
throw new SimulationException($"Укажите сложность ОП у процедуры {Procedure.Alias}");
}
if (expression.Contains("["))
{
throw new SimulationException($"Не хватает ресурсов у процедуры {Procedure.Alias}");
}
var result = new Expression(expression).calculate();
return(result);
}
public MLP(Config conf, DataSet train)
{
_train = train;
_conf = conf;
_rng = new RandomNumberGenerator(conf.Seed);
_rngChoice = new RandomNumberGenerator(conf.Seed);
_formemb = File.Exists(conf.EmbedFile)
? InitEmbed(conf.EmbedFile, train.Form, conf.InitRange)
: InitEmbed(train.Form, conf.InitRange);
_posemb = InitEmbed(train.PosTag, conf.InitRange);
_non = new Tensor(1, conf.HiddenSize * 2, true);
_surface = new BiLstmUnit(conf.EmbeddingSize * 2, conf.HiddenSize);
_act = new DenseUnit(conf.HiddenSize * 6, conf.HiddenSize);
_actOutput = new DenseUnit(conf.HiddenSize, 3);
_label = new DenseUnit(conf.HiddenSize * 6, conf.HiddenSize);
_labelOutput = new DenseUnit(conf.HiddenSize * 3, train.DepLabel.Count);
FixedParams.AddRange(_surface.SubmitParameters());
FixedParams.AddRange(_act.SubmitParameters());
FixedParams.AddRange(_label.SubmitParameters());
FixedParams.AddRange(_actOutput.SubmitParameters());
FixedParams.AddRange(_labelOutput.SubmitParameters());
FixedParams.Add(_non);
AllParams.AddRange(FixedParams);
AllParams.AddRange(_formemb);
AllParams.AddRange(_posemb);
_surface.Init((fin, fout) => new GlorotNormalInit(fin, fout, _rng).Next);
_act.Init((fin, fout) => new GlorotNormalInit(fin, fout, _rng).Next);
_label.Init((fin, fout) => new GlorotNormalInit(fin, fout, _rng).Next);
_actOutput.Init((fin, fout) => new GlorotNormalInit(fin, fout, _rng).Next);
_labelOutput.Init((fin, fout) => new GlorotNormalInit(fin, fout, _rng).Next);
switch (conf.OptType)
{
case OptType.sgd:
_opt = new Sgd(conf.LearningRate, conf.L2RegFactor, conf.ClipBound, conf.DecayRate,
train.Count);
break;
case OptType.adagrad:
_opt = new AdaGrad(conf.LearningRate, conf.L2RegFactor, conf.ClipBound, conf.Eps);
break;
case OptType.adam:
_opt = new Adam(conf.LearningRate, conf.L2RegFactor, conf.ClipBound, 0.999f, 0.9f, 1e-8f);
break;
default:
throw new ArgumentOutOfRangeException(nameof(conf.OptType), "unknown opt type");
}
_opt.Prepare(AllParams);
G.SetRng(conf.Seed);
}
public ArrayInstance All(object allParams)
{
var parameters = new AllParams(this.Engine.Object.InstancePrototype);
if (allParams != null && allParams != Undefined.Value && allParams != Null.Value)
{
parameters = JurassicHelper.Coerce <AllParams>(this.Engine, allParams);
}
string sql = BuildSelect(parameters.Where, parameters.OrderBy, parameters.Limit);
return(Query(string.Format(sql, parameters.Columns, GetFullTableName()), parameters.Args));
}
public override AllParams UseSkill()
{
var param = new AllParams()
{
healthBuff = this.healthBuff,
attackBuff = this.attackBuff,
speedBuff = this.speedBuff,
buffDelay = this.buffDelay
};
_skillActive.Init();
return(param);
}
// attention:
// If root object is accessed through the BuildContext object, use buildContext.TryGetVariable method instead.
internal Variable TryGetVariable(
string variableName,
out QueryTalkException exception,
Variable.SearchType searchType = Variable.SearchType.Any)
{
exception = null;
if (variableName == null)
{
exception = Variable.InvalidVariableException(variableName,
QueryTalkExceptionType.ArgumentNull);
return(null);
}
Variable param;
Variable variable;
// try get param
param = AllParams.Where(p => p.Name.EqualsCS(variableName))
.FirstOrDefault();
// try get non-param
variable = _variables.Where(v => v.Name.EqualsCS(variableName))
.FirstOrDefault();
if (searchType == Variable.SearchType.Any)
{
return(param ?? variable);
}
if (searchType == Variable.SearchType.Inliner &&
(param == null || param.DT.IsNotInliner()))
{
exception = Variable.InvalidVariableException(variableName,
QueryTalkExceptionType.InlinerNotFound);
return(null);
}
// param/variable should exists
if (searchType != Variable.SearchType.Any && (param == null && variable == null))
{
exception = Variable.InvalidVariableException(variableName,
QueryTalkExceptionType.ParamOrVariableNotDeclared);
return(null);
}
return(param ?? variable);
}
private void LoadFromFile(string filePath)
{
Regex regex = new Regex(@"(?<name>\w+) = (?<value>\S+)");
_allParams = new AllParams();
var type = _allParams.GetType();
foreach (Match match in regex.Matches(File.ReadAllText(filePath)))
{
var fieldName = match.Groups["name"].Value;
var fieldValue = match.Groups["value"].Value;
var fieldType = type.GetField(fieldName).FieldType;
type.GetField(fieldName).SetValue(_allParams, ResolveValueType(fieldType, fieldValue));
}
}