// TODO: Add methods that will be called by the view
/// <summary>
/// Completion for frequency Table
/// </summary>
/// <param name="result"></param>
/// <param name="e"></param>
private void GetRegressionResultsCompleted(LogRegressionResults result, Exception e)
{
if (e != null)
{
NotificationEventArgs <Exception> notification = new NotificationEventArgs <Exception>("", e);
this.Notify(ErrorNotice, notification);
}
else
{
this.RegressionResults = result;
this.Notify(RegressResultsLoadedEvent, new NotificationEventArgs <Exception>());
}
}
void logrCtxRegResults_Completed(object sender, EventArgs e)
{
InvokeOperation <LogRegressionResults> result = (InvokeOperation <LogRegressionResults>)sender;
if (result.HasError)
{
}
else
{
LogRegressionResults returnedData = ((InvokeOperation <LogRegressionResults>)sender).Value;
_rresultsCompleted(returnedData, null);
}
}
internal LogRegressionResults FormatLogRegressionResults(LogRegressionResults LogRegressionResults)
{
LogRegressionResults.ScoreStatistic = Convert.ToDouble(LogRegressionResults.ScoreStatistic.ToString("F4"));
LogRegressionResults.ScoreP = Convert.ToDouble(LogRegressionResults.ScoreP.ToString("F4"));
LogRegressionResults.LRStatistic = Convert.ToDouble(LogRegressionResults.LRStatistic.ToString("F4"));
LogRegressionResults.LRP = Convert.ToDouble(LogRegressionResults.LRP.ToString("F4"));
LogRegressionResults.FinalLikelihood = Convert.ToDouble(LogRegressionResults.FinalLikelihood.ToString("F4"));
foreach (var item in LogRegressionResults.Variables)
{
item.OddsRatio = Convert.ToDouble(item.OddsRatio.ToString("F4"));
item.NinetyFivePercent = Convert.ToDouble(item.NinetyFivePercent.ToString("F4"));
item.Ci = Convert.ToDouble(item.Ci.ToString("F4"));
item.Coefficient = Convert.ToDouble(item.Coefficient.ToString("F4"));
item.Se = Convert.ToDouble(item.Se.ToString("F4"));
item.Z = Convert.ToDouble(item.Z.ToString("F4"));
item.P = Convert.ToDouble(item.P.ToString("F4"));
}
return(LogRegressionResults);
}
// POST api/<controller>
public HttpResponseMessage Post([FromBody] JObject value)
{
LogisticRegressionDomainService LogisticRegressionDomainService = new LogisticRegressionDomainService();
GadgetParameters GadgetParameters;
ControllerCommon CommonClass = new ControllerCommon();
List <EwavRule_Base> Rules = new List <EwavRule_Base>();
JObject gadgetJSON = (JObject)value["gadget"];
List <EwavDataFilterCondition> dashboardFilters = new List <EwavDataFilterCondition>();
GadgetParameters = new GadgetParameters();
GadgetParameters.DatasourceName = gadgetJSON["@DatasourceName"].ToString();
GadgetParameters.InputVariableList = new Dictionary <string, string>();
GadgetParameters.TableName = CommonClass.GetDatabaseObject(GadgetParameters.DatasourceName);
Mapper Mapper = new Controllers.Mapper();
Rules = CommonClass.ReadRules(value);
dashboardFilters = CommonClass.GetFilters(value);
GadgetParameters.GadgetFilters = CommonClass.GetFilters(gadgetJSON, true);
List <string> columnNames = new List <string>();
Dictionary <string, string> inputVariableList = Mapper.MapJSONToRegressionInputVariableList(gadgetJSON);
foreach (KeyValuePair <string, string> kvp in inputVariableList)
{
if (kvp.Value.ToLower().Equals("unsorted") || kvp.Value.ToLower().Equals("dependvar") || kvp.Value.ToLower().Equals("weightvar") || kvp.Value.ToLower().Equals("matchvar"))
{
columnNames.Add(kvp.Key);
}
else if (kvp.Value.ToLower().Equals("discrete"))
{
columnNames.Add(kvp.Key);
}
}
List <DictionaryDTO> inputDtoList = new List <DictionaryDTO>();
inputDtoList = Mapper.MapDictToList(inputVariableList);
LogRegressionResults LogRegressionResults = LogisticRegressionDomainService.GetRegressionResult(
GadgetParameters,
columnNames,
inputDtoList,
dashboardFilters,
Rules,
CommonClass.AdvancedDataFilterString);
LogRegressionResults = Mapper.FormatLogRegressionResults(LogRegressionResults);
var obj = new HttpResponseMessage()
{
Content = new StringContent(Newtonsoft.Json.JsonConvert.SerializeObject(LogRegressionResults))//dt.GetJson())
};
obj.Content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
return(obj);
}
