public ActionResult <List <SentimentPrediction> > Predict(IEnumerable <SentimentIssue> samples)
{
var input = samples.ToList();
if (samples.Count() == 1)
{
var result = new List <SentimentPrediction>();
result.Add(_sentimentModel.Predict(MLModels.SentimentModel, input[0]));
return(result);
}
if (!samples.Any())
{
var extra = new List <SentimentIssue>
{
new SentimentIssue {
Text = "This is a very rude movie"
},
new SentimentIssue {
Text = "Hate All Of You're Work"
},
};
input.AddRange(extra);
}
var results = _sentimentModel.Predict(MLModels.SentimentModel, input);
return(Ok(results));
}
public async Task <HealthCheckResult> CheckHealthAsync(HealthCheckContext context, CancellationToken cancellationToken = default)
{
var name = context.Registration.Name;
try
{
_logger.LogInformation("[HealthCheck][{healthCheckName}]", name);
var options = _optionsMonitor.Get(name);
var result = await Task.FromResult(_model.Predict(options.ModelName, options.SampleData));
var json = JsonConvert.SerializeObject(result);
var data = new Dictionary <string, object>
{
{ "result", json }
};
return(new HealthCheckResult(HealthStatus.Healthy, name, data: data));
}
catch (Exception ex)
{
return(new HealthCheckResult(context.Registration.FailureStatus, exception: ex));
}
}
public ActionResult <SpamPrediction> Predict(string text)
{
if (string.IsNullOrEmpty(text))
{
text = "free medicine winner! congratulations";
}
return(_spamModel.Predict(MLModels.SpamModel, new SpamInput {
Message = text
}));
}
public ActionResult <SpamPrediction> PredictSpam([FromQuery] string text)
{
return(_spamModel.Predict(new SpamInput {
Message = text
}));
}
public ActionResult <SentimentPrediction> GetSentiment(SentimentObservation input)
{
return(_sentimentModel.Predict(input));
}
public ActionResult <SentimentPrediction> GetSentiment(SentimentIssue input)
{
return(_sentimentModel.Predict(input));
}