public BindResult PredictForAPI(Spectrum spec, bool needFilter = true, int numOfId = 5, int topK = 1)
{
if (this.IdModels.Count > 0)
{
IdentifyResult iresult = null;
foreach (var i in this.IdModels)
{
iresult = CombineIdResult(iresult, i.Predict(spec, needFilter, numOfId, topK));
}
if (iresult != null && iresult.Items.Where(d => d.Result).Count() > 0)
{
iresult = IdentifyModel.GetPredictValue(iresult, iresult.Items.Length, numOfId);
return(new BindResult()
{
MethodType = PredictMethod.Identify,
Result = iresult
});
}
}
if (this.FitModels.Count > 0)
{
var fitmodel = Serialize.DeepClone <FittingModel>(this.FitModels.First());
for (int i = 1; i < this.FitModels.Count; i++)
{
fitmodel.SpecLib.Merger(this.FitModels[i].SpecLib);
}
var flst = new List <FittingResult>();//这里需要修改，将List<FittingResult>改为FittingResult
flst.Add(fitmodel.Predict(spec, needFilter, numOfId, topK));
if (flst.Where(d => d.Result).Count() > 0)
{
return new BindResult()
{
MethodType = PredictMethod.Fitting,
Result = flst.Where(d => d.Result).OrderByDescending(d => d.TQ).FirstOrDefault()
}
}
;
}
if (this.PLS != null)
{
var plsr = this.PLS.Predict(spec, needFilter, numOfId);
return(new BindResult()
{
MethodType = PredictMethod.PLSBind,
Result = plsr
});
}
return(new BindResult()
{
MethodType = PredictMethod.None
});
}
/// <summary>
/// 获取预测出来的性质
/// </summary>
/// <returns></returns>
public ComponentList GetPredictComp(int num = 5, int numOfId = 5)
{
ComponentList c;
switch (this.MethodType)
{
case PredictMethod.Fitting:
var r1 = this.GetResult <FittingResult>();
c = r1.FitSpec.Components;
break;
case PredictMethod.Identify:
var r2 = this.GetResult <IdentifyResult>();
r2 = IdentifyModel.GetPredictValue(r2, num, numOfId);
c = r2.Components;
break;
case PredictMethod.PLSBind:
var r3 = this.GetResult <List <PLS1Result> >();
c = new ComponentList();
foreach (var cc in r3.Select(d => d.Comp))
{
c.Add(cc);
}
break;
case PredictMethod.Integrate:
var r4 = this.GetResult <List <IntegrateResultItem> >();
c = new ComponentList();
foreach (var i in r4)
{
var cc = i.Comp;
if (i.ConfidenceOutter < 90)
{
cc.State = i.ConfidenceOutter > 80 ? ComponentStatu.Blue : ComponentStatu.Red;
}
c.Add(cc);
}
break;
default:
c = null;
break;
}
return(c);
}
/// <summary>
/// 获取预测出来的性质
/// </summary>
/// <param name="num">识别最大个数</param>
/// <returns></returns>
public Component GetResult(int num)
{
Component idc = null, fc = null, pls1c = null, annc = null, result = this.Comp.Clone();
//识别
if (this.IDResult != null && this.IDResult.IsId)
{
var clst = IdentifyModel.GetPredictValue(this.IDResult, num);
idc = clst.Components.FirstOrDefault();
}
if (this.FitResult != null)
{
fc = this.FitResult.FitSpec.Components.FirstOrDefault();
}
if (this.PLS1Result != null)
{
pls1c = this.PLS1Result.Comp;
}
if (this.PLSANNResult != null)
{
annc = this.PLSANNResult.Comp;
}
result.PredictedValue = 0;
bool needavg = false;
if (idc == null && this.IDRate > 0)
{
needavg = true;
}
if (fc == null && this.FitRate > 0)
{
needavg = true;
}
if (needavg)
{
int countResult = 0;
if (idc != null)
{
result.PredictedValue += idc.PredictedValue;
countResult++;
}
if (fc != null)
{
result.PredictedValue += fc.PredictedValue;
countResult++;
}
if (pls1c != null)
{
result.PredictedValue += pls1c.PredictedValue;
countResult++;
}
if (annc != null)
{
result.PredictedValue += annc.PredictedValue;
countResult++;
}
if (countResult > 0)
{
result.PredictedValue = result.PredictedValue / countResult;
}
}
else
{
if (idc != null)
{
result.PredictedValue += idc.PredictedValue * this.IDRate / 100.0;
}
if (fc != null)
{
result.PredictedValue += fc.PredictedValue * this.FitRate / 100.0;
}
if (pls1c != null)
{
result.PredictedValue += pls1c.PredictedValue * this.PLS1Rate / 100.0;
}
if (annc != null)
{
result.PredictedValue += annc.PredictedValue * this.PLSANNRate / 100.0;
}
}
return(result);
}