public FunctionTests()
{
FAI.ClearInstance();
FAI.Instance.ProvideBuiltins(new NumberBuiltinProvider());
env = new Global();
FAI.Instance.InterpretLines(env, @"
using std/math
");
}
public void SetObservationSet(FAI.Bayesian.IObservationSet observations)
{
if (observations == null)
{
xSetName.Text = "(none)";
}
else
{
xSetName.Text = observations.Name;
}
// Update the list of observations.
const int maxToShow = 100;
xStackPanelObservations.Children.Clear();
if (observations != null)
{
foreach (var observation in
observations.Take(maxToShow))
{
TextBlock tb = new TextBlock();
tb.Text = ObservationToString(observation);
xStackPanelObservations.Children.Add(tb);
tb.FontFamily = new FontFamily("Consolas");
tb.FontSize = 10;
}
if (observations.Size.Value > maxToShow)
{
TextBlock tb = new TextBlock();
tb.Text = "...";
xStackPanelObservations.Children.Add(tb);
tb.FontFamily = new FontFamily("Consolas");
tb.FontSize = 10;
}
}
}
public void Dispose()
{
FAI.ClearInstance();
}
public BinaryOpTests()
{
FAI.ClearInstance();
env = new Global();
FAI.Instance.InterpretLines(env, "x = 10");
}
public UnionTests()
{
FAI.ClearInstance();
env = new Global();
}
/// <summary>
/// 2062 新增一条预测记录
/// </summary>
/// <param name="result"></param>
/// <param name="param"></param>
public static void Admin_AIItemAdd(ReturnModel result, AdminParamsM param)
{
if (IsLogin(result, param.Token))
{
if (string.IsNullOrEmpty(param.Content))
{
result.code = RespCodeConfig.ServerError;
result.msg = "内容为空";
return;
}
if (param.Type == "edit")
{
//编辑
FAI model = JsonConvert.DeserializeObject <FAI>(param.Content);
FAI obj = ibll.FAI.Single(a => a.ID == model.ID);
if (obj != null)
{
obj.Cate = model.Cate;
obj.CateType = model.CateType;
obj.Status = model.Status;
obj.TurnType = model.TurnType;
obj.DT = model.DT;
obj.NPrice = model.NPrice;
obj.Remark = model.Remark;
obj.ResultClose = model.ResultClose;
obj.ResultLow = model.ResultLow;
obj.ResultHight = model.ResultHight;
obj.IsPublish = model.IsPublish;
obj.IsAbandon = model.IsAbandon;
ibll.FAI.Update(obj, new string[] {
"Cate", "CateType", "Status", "TurnType", "IsPublish",
"DT", "NPrice", "Remark", "ResultClose", "ResultLow", "ResultHight", "IsAbandon"
});
int n = ibll.SaveChanges();
if (n > 0)
{
result.code = RespCodeConfig.Normal;
result.data = "保存成功";
}
else
{
result.code = RespCodeConfig.ServerError;
result.data = "保存失败";
}
}
}
else if (param.Type == "add")
{
//新增
FAI model = JsonConvert.DeserializeObject <FAI>(param.Content);
if (model.AValue > 0 && model.Star > 0 && model.NPrice > 0)
{
model.ReviseLV = (model.AValue * 100) / model.NPrice;
model.ReviseStar = model.ReviseLV * model.Star;
model.IsAbandon = model.ReviseLV < (decimal)0.9;
model.AddDate = DateTime.Now;
ibll.FAI.Add(model);
int n = ibll.SaveChanges();
if (n > 0)
{
result.code = RespCodeConfig.Normal;
result.data = "保存成功";
}
else
{
result.code = RespCodeConfig.ServerError;
result.data = "保存失败";
}
}
else
{
result.code = RespCodeConfig.ArgumentExp;
result.data = "数据有误";
}
}
}
}
public void SetInferenceResults(
IDictionary<string, DiscreteDistribution> results,
int scenarioId,
FAI.Bayesian.Observation evidence)
{
if (scenarioId <= 0)
{
throw new ArgumentOutOfRangeException("ScenarioId");
}
if (results != null && results.Count != 0)
{
foreach (var node in _nodes)
{
FRandomVariable variable = (FRandomVariable)node.Tag;
DiscreteDistribution distribution;
// See if this variable has a result in the incoming results.
if (results.TryGetValue(variable.Name, out distribution))
{
bool isEvidence = evidence.TryValueForVariable(variable.Name) != null;
var slices
= distribution
.Masses
.OrderBy(p => p.Key)
.Select(p => p.Value)
.ToArray();
node.SetSlices(slices, scenarioId, isEvidence);
}
}
}
else
{
foreach (var node in _nodes)
{
FRandomVariable variable = (FRandomVariable)node.Tag;
bool isEvidence
= evidence != null
&& evidence.TryValueForVariable(variable.Name) != null;
node.SetSlices(new double[0], scenarioId, isEvidence);
}
}
}
public WhereTests()
{
FAI.ClearInstance();
env = new Global();
}