public async Task ClassifyWithModelo02(CreditAnalysisMLModel creditAnalysisMLModel)
{
creditAnalysisMLModel.ModelType = CreditAnalysisModelTypeEnum.Modelo02;
var services = this.ServiceProvider.GetService <ICreditAnalysisMLService>();
var result = await services.ClassifyAsync(creditAnalysisMLModel);
Assert.True(result > 0);
Assert.True(services.IsValid());
}
public async Task <double> ClassifyAsync(CreditAnalysisMLModel creditAnalysisMLModel)
{
try
{
return(await this.DoClassifyAsync(creditAnalysisMLModel));
}
catch (System.Exception ex)
{
this.AddError($"Erro: {ex.Message}");
return(0);
}
}
private async Task <double> DoClassifyAsync(CreditAnalysisMLModel creditAnalysisMLModel)
{
creditAnalysisMLModel.Escolaridadexxx = new CreditAnalysisDummyModel()
{
Dummy30876 = creditAnalysisMLModel.Escolaridade
};
var client = new HttpClient();
var requestParameters = $"predict?model={creditAnalysisMLModel.ModelType.ToDescription()}";
var uri = $"{this._creditAnalysisEnvironment.CreditAnalysisApi}/{requestParameters}";
byte[] bytes;
var json = JsonHelper.Serialize(creditAnalysisMLModel);
bytes = Encoding.UTF8.GetBytes(json);
using ByteArrayContent content = new ByteArrayContent(bytes);
content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
var response = await client.PostAsync(uri, content);
var contentString = await response.Content.ReadAsStringAsync();
if (creditAnalysisMLModel.ModelType == Enums.CreditAnalysisModelTypeEnum.Modelo01)
{
var result = JsonHelper.Deserialize <CreditAnalysisMLResultModel>(contentString);
return(result.Proba.FirstOrDefault().Last());
}
if (creditAnalysisMLModel.ModelType == Enums.CreditAnalysisModelTypeEnum.Modelo02)
{
var result = JsonHelper.Deserialize <CreditAnalysisML02ResultModel>(contentString);
return(result.prediction.FirstOrDefault());
}
this.AddError("CreditAnalysisModelTypeEnum não informado.");
return(0);
}
