public SweepableEstimator(Func <MLContext, Parameter, IEstimator <ITransformer> > factory, SearchSpace.SearchSpace ss)
: this()
{
_factory = factory;
SearchSpace = ss;
Parameter = ss.SampleFromFeatureSpace(ss.Default);
}
public CostFrugalTuner(SearchSpace.SearchSpace searchSpace, Parameter initValue = null, bool minimizeMode = true)
{
_searchSpace = searchSpace;
_minimize = minimizeMode;
_localSearch = new Flow2(searchSpace, initValue, true);
_currentThreadId = 0;
_lsBoundMin = _searchSpace.MappingToFeatureSpace(initValue);
_lsBoundMax = _searchSpace.MappingToFeatureSpace(initValue);
_initUsed = false;
_bestMetric = double.MaxValue;
}
public Flow2(SearchSpace.SearchSpace searchSpace, Parameter initValue = null, bool minimizeMode = true, double convergeSpeed = 1.5)
{
_searchSpace = searchSpace;
_minimize = minimizeMode;
_initConfig = initValue;
_bestConfig = _initConfig;
_incumbent = _searchSpace.MappingToFeatureSpace(_bestConfig);
_dim = _searchSpace.Count;
_numAllowed4Incumbent = 2 * _dim;
_step = _stepSize * Math.Sqrt(_dim);
_stepUpperBound = Math.Sqrt(_dim);
_convergeSpeed = convergeSpeed;
if (_step > _stepUpperBound)
{
_step = _stepUpperBound;
}
}
public RandomSearchTuner(SearchSpace.SearchSpace searchSpace)
{
_tuner = new RandomTuner();
_searchSpace = searchSpace;
}
public GridSearchTuner(SearchSpace.SearchSpace searchSpace, int stepSize = 10)
{
_tuner = new SearchSpace.Tuner.GridSearchTuner(searchSpace, stepSize);
_enumerator = _tuner.Propose().GetEnumerator();
}
