/// <summary>Snippet for BatchPredict</summary>
public void BatchPredictRequestObject()
{
// Snippet: BatchPredict(BatchPredictRequest, CallSettings)
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
BatchPredictRequest request = new BatchPredictRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
InputConfig = new BatchPredictInputConfig(),
OutputConfig = new BatchPredictOutputConfig(),
Params = { { "", "" }, },
};
// Make the request
Operation <BatchPredictResult, OperationMetadata> response = predictionServiceClient.BatchPredict(request);
// Poll until the returned long-running operation is complete
Operation <BatchPredictResult, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
BatchPredictResult result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation <BatchPredictResult, OperationMetadata> retrievedResponse = predictionServiceClient.PollOnceBatchPredict(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
BatchPredictResult retrievedResult = retrievedResponse.Result;
}
// End snippet
}
/// <summary>Snippet for BatchPredict</summary>
public void BatchPredict()
{
// Snippet: BatchPredict(ModelName,BatchPredictInputConfig,BatchPredictOutputConfig,IDictionary<string, string>,CallSettings)
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
ModelName name = new ModelName("[PROJECT]", "[LOCATION]", "[MODEL]");
BatchPredictInputConfig inputConfig = new BatchPredictInputConfig();
BatchPredictOutputConfig outputConfig = new BatchPredictOutputConfig();
IDictionary <string, string> @params = new Dictionary <string, string>();
// Make the request
Operation <BatchPredictResult, OperationMetadata> response =
predictionServiceClient.BatchPredict(name, inputConfig, outputConfig, @params);
// Poll until the returned long-running operation is complete
Operation <BatchPredictResult, OperationMetadata> completedResponse =
response.PollUntilCompleted();
// Retrieve the operation result
BatchPredictResult result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation <BatchPredictResult, OperationMetadata> retrievedResponse =
predictionServiceClient.PollOnceBatchPredict(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
BatchPredictResult retrievedResult = retrievedResponse.Result;
}
// End snippet
}
/// <summary>Snippet for BatchPredict</summary>
/// <remarks>
/// This snippet has been automatically generated for illustrative purposes only.
/// It may require modifications to work in your environment.
/// </remarks>
public void BatchPredict()
{
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
BatchPredictInputConfig inputConfig = new BatchPredictInputConfig();
BatchPredictOutputConfig outputConfig = new BatchPredictOutputConfig();
IDictionary <string, string> @params = new Dictionary <string, string> {
{ "", "" },
};
// Make the request
Operation <BatchPredictResult, OperationMetadata> response = predictionServiceClient.BatchPredict(name, inputConfig, outputConfig, @params);
// Poll until the returned long-running operation is complete
Operation <BatchPredictResult, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
BatchPredictResult result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation <BatchPredictResult, OperationMetadata> retrievedResponse = predictionServiceClient.PollOnceBatchPredict(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
BatchPredictResult retrievedResult = retrievedResponse.Result;
}
}
/// <summary>Snippet for RawPredict</summary>
public void RawPredict()
{
// Snippet: RawPredict(string, HttpBody, CallSettings)
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
string endpoint = "projects/[PROJECT]/locations/[LOCATION]/endpoints/[ENDPOINT]";
HttpBody httpBody = new HttpBody();
// Make the request
HttpBody response = predictionServiceClient.RawPredict(endpoint, httpBody);
// End snippet
}
/// <summary>Snippet for RawPredict</summary>
public void RawPredictResourceNames()
{
// Snippet: RawPredict(EndpointName, HttpBody, CallSettings)
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
EndpointName endpoint = EndpointName.FromProjectLocationEndpoint("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
HttpBody httpBody = new HttpBody();
// Make the request
HttpBody response = predictionServiceClient.RawPredict(endpoint, httpBody);
// End snippet
}
/// <summary>Snippet for Predict</summary>
public void PredictRequestObject()
{
// Snippet: Predict(PredictRequest, CallSettings)
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
PredictRequest request = new PredictRequest
{
PlacementName = PlacementName.FromProjectLocationCatalogEventStorePlacement("[PROJECT]", "[LOCATION]", "[CATALOG]", "[EVENT_STORE]", "[PLACEMENT]"),
UserEvent = new UserEvent(),
Filter = "",
DryRun = false,
Params = { { "", new Value() }, },
Labels = { { "", "" }, },
};
// Make the request
PagedEnumerable <PredictResponse, PredictResponse.Types.PredictionResult> response = predictionServiceClient.Predict(request);
// Iterate over all response items, lazily performing RPCs as required
foreach (PredictResponse.Types.PredictionResult item in response)
{
// Do something with each item
Console.WriteLine(item);
}
// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (PredictResponse page in response.AsRawResponses())
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (PredictResponse.Types.PredictionResult item in page)
{
// Do something with each item
Console.WriteLine(item);
}
}
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page <PredictResponse.Types.PredictionResult> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (PredictResponse.Types.PredictionResult item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
// End snippet
}
/// <summary>Snippet for Predict</summary>
public void Predict()
{
// Snippet: Predict(string, IEnumerable<Value>, Value, CallSettings)
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
string endpoint = "projects/[PROJECT]/locations/[LOCATION]/endpoints/[ENDPOINT]";
IEnumerable <Value> instances = new Value[] { new Value(), };
Value parameters = new Value();
// Make the request
PredictResponse response = predictionServiceClient.Predict(endpoint, instances, parameters);
// End snippet
}
/// <summary>Snippet for Predict</summary>
public void PredictResourceNames()
{
// Snippet: Predict(EndpointName, IEnumerable<Value>, Value, CallSettings)
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
EndpointName endpoint = EndpointName.FromProjectLocationEndpoint("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
IEnumerable <Value> instances = new Value[] { new Value(), };
Value parameters = new Value();
// Make the request
PredictResponse response = predictionServiceClient.Predict(endpoint, instances, parameters);
// End snippet
}
/// <summary>Snippet for Predict</summary>
/// <remarks>
/// This snippet has been automatically generated for illustrative purposes only.
/// It may require modifications to work in your environment.
/// </remarks>
public void Predict()
{
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
ExamplePayload payload = new ExamplePayload();
IDictionary <string, string> @params = new Dictionary <string, string> {
{ "", "" },
};
// Make the request
PredictResponse response = predictionServiceClient.Predict(name, payload, @params);
}
/// <summary>Snippet for Predict</summary>
/// <remarks>
/// This snippet has been automatically generated for illustrative purposes only.
/// It may require modifications to work in your environment.
/// </remarks>
public void PredictResourceNames()
{
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
ExamplePayload payload = new ExamplePayload();
IDictionary <string, string> @params = new Dictionary <string, string> {
{ "", "" },
};
// Make the request
PredictResponse response = predictionServiceClient.Predict(name, payload, @params);
}
/// <summary>Snippet for Predict</summary>
public void Predict()
{
// Snippet: Predict(ModelName,ExamplePayload,IDictionary<string, string>,CallSettings)
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
ModelName name = new ModelName("[PROJECT]", "[LOCATION]", "[MODEL]");
ExamplePayload payload = new ExamplePayload();
IDictionary <string, string> @params = new Dictionary <string, string>();
// Make the request
PredictResponse response = predictionServiceClient.Predict(name, payload, @params);
// End snippet
}
/// <summary>Snippet for Predict</summary>
/// <remarks>
/// This snippet has been automatically generated for illustrative purposes only.
/// It may require modifications to work in your environment.
/// </remarks>
public void PredictRequestObject()
{
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
PredictRequest request = new PredictRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
Payload = new ExamplePayload(),
Params = { { "", "" }, },
};
// Make the request
PredictResponse response = predictionServiceClient.Predict(request);
}
/// <summary>Snippet for RawPredict</summary>
public void RawPredictRequestObject()
{
// Snippet: RawPredict(RawPredictRequest, CallSettings)
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
RawPredictRequest request = new RawPredictRequest
{
EndpointAsEndpointName = EndpointName.FromProjectLocationEndpoint("[PROJECT]", "[LOCATION]", "[ENDPOINT]"),
HttpBody = new HttpBody(),
};
// Make the request
HttpBody response = predictionServiceClient.RawPredict(request);
// End snippet
}
/// <summary>Snippet for Predict</summary>
public void Predict_RequestObject()
{
// Snippet: Predict(PredictRequest,CallSettings)
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
PredictRequest request = new PredictRequest
{
ModelName = new ModelName("[PROJECT]", "[LOCATION]", "[MODEL]"),
Payload = new ExamplePayload(),
};
// Make the request
PredictResponse response = predictionServiceClient.Predict(request);
// End snippet
}
/// <summary>Snippet for Predict</summary>
public void PredictRequestObject()
{
// Snippet: Predict(PredictRequest, CallSettings)
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
PredictRequest request = new PredictRequest
{
EndpointAsEndpointName = EndpointName.FromProjectLocationEndpoint("[PROJECT]", "[LOCATION]", "[ENDPOINT]"),
Instances = { new Value(), },
Parameters = new Value(),
};
// Make the request
PredictResponse response = predictionServiceClient.Predict(request);
// End snippet
}
/// <summary>Snippet for Predict</summary>
public void PredictRequestObject()
{
// Snippet: Predict(PredictRequest, CallSettings)
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
PredictRequest request = new PredictRequest
{
Name = "",
Payload = new ExamplePayload(),
Params = { { "", "" }, },
};
// Make the request
PredictResponse response = predictionServiceClient.Predict(request);
// End snippet
}
/// <summary>Snippet for Predict</summary>
public void Predict()
{
// Snippet: Predict(string, UserEvent, string, int?, CallSettings)
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/catalogs/[CATALOG]/eventStores/[EVENT_STORE]/placements/[PLACEMENT]";
UserEvent userEvent = new UserEvent();
// Make the request
PagedEnumerable <PredictResponse, PredictResponse.Types.PredictionResult> response = predictionServiceClient.Predict(name, userEvent);
// Iterate over all response items, lazily performing RPCs as required
foreach (PredictResponse.Types.PredictionResult item in response)
{
// Do something with each item
Console.WriteLine(item);
}
// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (PredictResponse page in response.AsRawResponses())
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (PredictResponse.Types.PredictionResult item in page)
{
// Do something with each item
Console.WriteLine(item);
}
}
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page <PredictResponse.Types.PredictionResult> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (PredictResponse.Types.PredictionResult item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
// End snippet
}
/// <summary>Snippet for Explain</summary>
public void ExplainRequestObject()
{
// Snippet: Explain(ExplainRequest, CallSettings)
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
ExplainRequest request = new ExplainRequest
{
EndpointAsEndpointName = EndpointName.FromProjectLocationEndpoint("[PROJECT]", "[LOCATION]", "[ENDPOINT]"),
Instances = { new Value(), },
DeployedModelId = "",
Parameters = new Value(),
ExplanationSpecOverride = new ExplanationSpecOverride(),
};
// Make the request
ExplainResponse response = predictionServiceClient.Explain(request);
// End snippet
}
/// <summary>Snippet for Predict</summary>
public void PredictRequestObject()
{
// Snippet: Predict(PredictRequest, CallSettings)
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
PredictRequest request = new PredictRequest
{
Placement = "",
UserEvent = new UserEvent(),
PageSize = 0,
PageToken = "",
Filter = "",
ValidateOnly = false,
Params = { { "", new Value() }, },
Labels = { { "", "" }, },
};
// Make the request
PredictResponse response = predictionServiceClient.Predict(request);
// End snippet
}
private void predict(string projectId, string locationId, string modelId, List <Value> values)
{
// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests. After completing all of your requests, call
// the "close" method on the client to safely clean up any remaining background resources.
PredictionServiceClient client = PredictionServiceClient.Create();
//// Get the full path of the model.
//ModelName name = new ModelName(projectId, locationId, modelId);
////.of(projectId, "us-central1", modelId);
//Google.Cloud.AutoML.V1.ro Row row = Row.newBuilder().addAllValues(values).build();
//ExamplePayload payload = ExamplePayload.newBuilder().setRow(row).build();
// Feature importance gives you visibility into how the features in a specific prediction
// request informed the resulting prediction. For more info, see:
// https://cloud.google.com/automl-tables/docs/features#local
//PredictRequest request = PredictRequest. newBuilder()
// .setName(name.toString())
// .setPayload(payload)
// .putParams("feature_importance", "true")
// .build();
//PredictResponse response = client.Predict(request);
//System.out.println("Prediction results:");
//foreach (AnnotationPayload annotationPayload in response.getPayloadList()) {
//TablesAnnotation tablesAnnotation = annotationPayload.getTables();
//System.out.format("Classification label: %s%n", tablesAnnotation.getValue().getStringValue());
//System.out.format("Classification score: %.3f%n", tablesAnnotation.getScore());
// Get features of top importance
//tablesAnnotation
// .getTablesModelColumnInfoList()
// .forEach(
// info ->
// System.out.format(
// "\tColumn: %s - Importance: %.2f%n",
// info.getColumnDisplayName(), info.getFeatureImportance()));
//}
}
private void prediction()
{
try
{
ExamplePayload payload = new ExamplePayload()
{
//TextSnippet = new TextSnippet()
//{
// Content = "{\"payload\":{\"row\":{\"values\":[\"3795.67486950037\",\"0.0\",\"30.0\"]}}}"
//}
};
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
PredictRequest request = new PredictRequest
{
ModelName = ModelName.FromProjectLocationModel("thermal-creek-272919", "us-central1", "TBL5828849788421931008"),
Payload = payload,
//model_path = client.model_path('thermal-creek-272919', 'us-central1', 'TBL5828849788421931008')
Params = { { "feature_importance", "false" } },
};
var response = predictionServiceClient.Predict(request);
}
catch (Exception ex)
{
throw;
}
//mockGrpcClient.Setup(x => x.Predict(request, moq::It.IsAny<grpccore::CallOptions>())).Returns(expectedResponse);
//PredictionServiceClient client = new PredictionServiceClientImpl(mockGrpcClient.Object, null);
//PredictResponse response = client.Predict(request);
}
public ActionResult <ServiceResponse> Post([Bind("Url")][FromBody] ServiceRequest request)
{
// Boilerpipe.net code below
string html = "";
string headline = "";
string source = "";
string text = "";
string img = "";
try
{
if (Uri.IsWellFormedUriString(request.Url, UriKind.Absolute))
{
using (WebClient webClient = new WebClient())
{
html = webClient.DownloadString(request.Url);
}
text = RemoveSpecialCharacters(CommonExtractors.LargestContentExtractor.GetText(html));
headline = RemoveSpecialCharacters(Regex.Match(html, @"\<title\b[^>]*\>\s*(?<Title>[\s\S]*?)\</title\>",
RegexOptions.IgnoreCase).Groups["Title"].Value);
var domainParser = new DomainParser(new WebTldRuleProvider());
var domainName = domainParser.Get(request.Url);
source = domainName.RegistrableDomain;
img = "http://" + FetchLinksFromSource(html)[0].AbsolutePath;
}
else
{
return(BadRequest(new ServiceResponse
{
Success = false,
Error = "Bad URL."
}));
}
// Google Cloud API code below
var credential = GoogleCredential.FromJson(ServiceAccountJSON)
.CreateScoped(LanguageServiceClient.DefaultScopes);
var channel = new Grpc.Core.Channel(
AutoMlClient.DefaultEndpoint.ToString(),
credential.ToChannelCredentials());
PredictionServiceClient client = PredictionServiceClient.Create(channel);
string modelFullId = ModelName.Format("partem-1579924523879", "us-central1", "TCN7494917767758348288");
PredictRequest predictRequest = new PredictRequest
{
Name = modelFullId,
Payload = new ExamplePayload
{
TextSnippet = new TextSnippet
{
Content = text,
MimeType = "text/plain"
}
}
};
PredictResponse response = client.Predict(predictRequest);
var leftPerc = response.Payload.First(x => x.DisplayName == "left").Classification.Score;
var rightPerc = response.Payload.First(x => x.DisplayName == "right").Classification.Score;
return(Ok(new ServiceResponse
{
LeftPercentage = leftPerc,
RightPercentage = rightPerc,
CenterPercentage = 1 - Math.Abs(leftPerc - rightPerc),
Headline = headline,
Source = source,
Image = img,
Success = true,
}));
}
catch (Exception ex)
{
return(BadRequest(new ServiceResponse
{
Success = false,
Error = "An error has occured. Please try again later."
}));
}
}