public GetAgePredictionHandler(PredictionEnginePool <AgeInMemoryImageData, Prediction> predictionEnginePool) : base(predictionEnginePool)
{
}
public PredictSurvived(PredictionEnginePool <ModelInput, ModelOutput> predictionEnginePool)
{
_predictionEnginePool = predictionEnginePool;
}
public async static Task <RequestState> GetOrCreateUserState(this ITurnContext userContext, string botId, PredictionEnginePool <NeuralTrainInput, PredictionOutput> predictionEngine)
{
var id = "AnyId";// userContext.Activity.Id;
RequestState res;
if (!_requestStateCache.TryGetValue(id, out res))
{
res = new RequestState();
await res.Initilize(id, botId, RequestPipeline, predictionEngine);
_requestStateCache.TryAdd(res.UserId, res);
}
return(res);
}
/// <summary>
/// Controller ctor
/// </summary>
/// <param name="consumeModel"></param>
public SentimentAnalysisController(PredictionEnginePool <MLApplications.SentimentAnalysis.ModelInput, MLApplications.SentimentAnalysis.ModelOutput> predictionEnginePool)
{
this._predictionEnginePool = predictionEnginePool ?? throw new ArgumentNullException(nameof(predictionEnginePool));
}
public Funcs(PredictionEnginePool <SentimentIssue, SentimentPrediction> predictionEnginePool, IMetricsClient telemetryClient)
{
_predictionEnginePool = predictionEnginePool;
_telemetryClient = telemetryClient;
}
public ObjectDetectionService(PredictionEnginePool <ImageInputData, ImageObjectPrediction> model)
{
this.model = model;
}
public IndexModel(PredictionEnginePool <ModelInput, ModelOutput> predictionEnginePool)
{
_predictionEnginePool = predictionEnginePool;
}
public PredictSurvived(PredictionEnginePool <Passenger, PassengerPredict> predictionEnginePool)
{
_predictionEnginePool = predictionEnginePool;
}
public Function1(PredictionEnginePool <ModelInput, ModelOutput> predictionEnginePool)
{
_predictionEnginePool = predictionEnginePool;
}
// AnalyzeSentiment class constructor
public SentimentAnalysis(PredictionEnginePool <SentimentData, SentimentPrediction> predictionEnginePool)
{
_predictionEnginePool = predictionEnginePool;
}
// AnalyzeSentiment class constructor
public HttpSentimentAnalysisFunction(PredictionEnginePool <SentimentData, SentimentPrediction> predictionEnginePool)
{
_predictionEnginePool = predictionEnginePool;
}
public IndexModel(ILogger <IndexModel> logger, PredictionEnginePool <ModelInput, ModelOutput> predictionEnginePool)
{
_logger = logger;
this.predictionEnginePool = predictionEnginePool;
}
public BotAlpha(PredictionEnginePool <NeuralTrainInput, PredictionOutput> predictionEnginePool)
{
this.predictionEnginePool = predictionEnginePool;
}
public PredictController(PredictionEnginePool<SentimentData, SentimentPrediction> engine)
{
this.engine = engine;
}
public PredictorController(PredictionEnginePool <SampleObservation, SamplePrediction> predictionEnginePool)
{
// Get the ML Model Engine injected, for scoring
_predictionEnginePool = predictionEnginePool;
}
public IndexModel(IWebHostEnvironment env, ILogger <IndexModel> logger, ICarModelService carFileModelService, PredictionEnginePool <ModelInput, ModelOutput> pricePredictionEnginePool)
{
_env = env;
_logger = logger;
_carModelService = carFileModelService.GetDetails();
CarMakeSL = new SelectList(_carModelService, "Id", "Model", default, "Make");
public AnalyzeSentiment(PredictionEnginePool <SentimentIssue, SentimentPrediction> predictionEngine, BlobModelLoader modelLoader)
{
this.predictionEngine = predictionEngine ?? throw new ArgumentNullException(nameof(predictionEngine));
this.modelLoader = modelLoader;
}
public BankTransactionLabelService(PredictionEnginePool <Transaction, TransactionPrediction> predictionEnginePool)
{
// Use this when using ML.NET in WebAPI, Azure Functions and other scalable applications.
_predictionEnginePool = predictionEnginePool;
}
public ObjectDetectionService(PredictionEnginePool <ImageInputData, TinyYoloPrediction> predictionEngine)
{
this.predictionEngine = predictionEngine;
}
// AnalyzeSentiment class constructor
public AnalyzeSentiment(PredictionEnginePool <SentimentData, SentimentPrediction> predictionEnginePool)
{
_predictionEnginePool = predictionEnginePool;
}
public PredictController(PredictionEnginePool <TempData, TempPrediction> predictionEnginePool)
{
_predictionEnginePool = predictionEnginePool;
}
// create a PredictionEngine pool for the predict api calls
public PredictController(PredictionEnginePool <ScriptType, ScriptTypePrediction> predictionEnginePool)
{
_predictionEnginePool = predictionEnginePool;
}
public PredictController(PredictionEnginePool <SentimentData, SentimentPrediction> predictionEnginePool)
{
_predictionEnginePool = predictionEnginePool;
}
public Analyze(PredictionEnginePool <OnnxInput, OnnxOutput> predictionEnginePool)
{
_predictionEnginePool = predictionEnginePool;
}
public DetoxController(PredictionEnginePool <SampleObservation, SamplePrediction> predictionEnginePool)
{
_predictionEnginePool = predictionEnginePool;
}
public SentimentAnalyzer(PredictionEnginePool <SentimentData, SentimentPrediction> predictionEnginePool)
{
this.predictionEnginePool = predictionEnginePool;
}
public DigitController(PredictionEnginePool <DigitData, DigitPrediction> predictionEnginePool)
{
this._predictionEnginePool = predictionEnginePool;
}
public PredictionsService(PredictionEnginePool <MovieData, MoviePrediction> predictionEnginePool, IMovieMapRepository repository)
{
_predicitionEnginePool = predictionEnginePool;
_repository = repository;
}
