private List <Result> ConstructResultsBySelection(IEnumerable <PredictionCouple> couples)
{
List <Result> results = new List <Result>();
double sumOfSimilarity = 0;
foreach (PredictionCouple c in couples)
{
sumOfSimilarity += c.Similarity;
}
foreach (PredictionCouple c in couples)
{
List <ParamPrediction> paramss = new List <ParamPrediction>();
int i = 0;
foreach (var value in c.Future)
{
ParamPrediction param = new ParamPrediction(dailyObservation.Parameters.ElementAt(i).ParamKey, value, 0);
paramss.Add(param);
i++;
}
Result tempResult = new Result(paramss, c.Similarity);
results.Add(tempResult);
}
return(results);
}
///
public static string GetImagePathForParameter(ParamPrediction param)
{
if (param.ParamKey.Equals(InputKeys.TEMPERATURE))
{
if (param.PredictedValue >= 33)
{
return(HIGH_TEMP_ICON_PATH);
}
else if (param.PredictedValue >= -19)
{
return(MID_TEMP_ICON_PATH);
}
}
else if (param.ParamKey.Equals(InputKeys.WIND_SPEED))
{
return(WIND_SPEED_ICON_PATH);
}
else if (param.ParamKey.Equals(InputKeys.WIND_DIRECTION))
{
return(WIND_DIRECTION_ICON_PATH);
}
else if (param.ParamKey.Equals(InputKeys.GROUND_STATE))
{
return(GROUND_ICON_PATH);
}
else if (param.ParamKey.Equals(InputKeys.PLUVIOMETRIE))
{
if (param.PredictedValue >= 50)
{
return(HIGH_PLUVIOMETRIE_ICON_PATH);
}
else if (param.PredictedValue >= 0)
{
return(LOW_PLUVIOMETRIE_ICON_PATH);
}
else
{
return(NA_ICON_PATH);
}
}
else if (param.ParamKey.Equals(InputKeys.NUAGES))
{
return(NUAGES_ICON_PATH);
}
else if (param.ParamKey.Equals(InputKeys.HUMIDITY))
{
return(HUMIDITY_ICON_PATH);
}
else if (param.ParamKey.Equals(InputKeys.AIR_PRESSURE))
{
return(AIR_PRESSURE_ICON_PATH);
}
return(NA_ICON_PATH);
}
/// <summary>
///
/// </summary>
/// <remarks> Modify parameters such that no need for index => search based on param key </remarks>
/// <param name="cluster">The cluster that the function will predict Parameters for</param>
/// <param name="paramKey">The parameter Key reprenting the parameter as a string </param>
/// <param name="index">index of the parameter in the array(Future) of each element in the cluster</param>
/// <returns>A parameter Prediction</returns>
static ParamPrediction PredictParamsCluster(Cluster cluster, String paramKey, int index)
{
List <double> inputs = new List <double>();
foreach (var e in cluster.Elements)
{
inputs.Add(e.Future.ElementAt(index));
}
ParamPrediction paramPrediction = new ParamPrediction(paramKey, Statistics.Mean(inputs), Statistics.PopulationStandardDeviation(inputs));
return(paramPrediction);
}
public static String GetParameterValue(ParamPrediction param)
{
return((Math.Round(param.PredictedValue)).ToString("00") + " " + units[param.ParamKey]);
}