/// <summary>Snippet for ExportEvaluatedExamplesAsync</summary>
/// <remarks>
/// This snippet has been automatically generated for illustrative purposes only.
/// It may require modifications to work in your environment.
/// </remarks>
public async Task ExportEvaluatedExamplesRequestObjectAsync()
{
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ExportEvaluatedExamplesRequest request = new ExportEvaluatedExamplesRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
OutputConfig = new ExportEvaluatedExamplesOutputConfig(),
};
// Make the request
Operation <Empty, OperationMetadata> response = await autoMlClient.ExportEvaluatedExamplesAsync(request);
// Poll until the returned long-running operation is complete
Operation <Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty 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 <Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportEvaluatedExamplesAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
}
/// <summary>Snippet for DeleteModel</summary>
/// <remarks>
/// This snippet has been automatically generated for illustrative purposes only.
/// It may require modifications to work in your environment.
/// </remarks>
public void DeleteModelResourceNames()
{
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Operation <Empty, OperationMetadata> response = autoMlClient.DeleteModel(name);
// Poll until the returned long-running operation is complete
Operation <Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty 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 <Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceDeleteModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
}
public async stt::Task PredictRequestObjectAsync()
{
moq::Mock <PredictionService.PredictionServiceClient> mockGrpcClient = new moq::Mock <PredictionService.PredictionServiceClient>(moq::MockBehavior.Strict);
PredictRequest request = new PredictRequest
{
EndpointAsEndpointName = EndpointName.FromProjectLocationEndpoint("[PROJECT]", "[LOCATION]", "[ENDPOINT]"),
Instances = { new wkt::Value(), },
Parameters = new wkt::Value(),
};
PredictResponse expectedResponse = new PredictResponse
{
Predictions = { new wkt::Value(), },
DeployedModelId = "deployed_model_idf0bd41af",
ModelAsModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
ModelDisplayName = "model_display_name8ef9ce34",
};
mockGrpcClient.Setup(x => x.PredictAsync(request, moq::It.IsAny <grpccore::CallOptions>())).Returns(new grpccore::AsyncUnaryCall <PredictResponse>(stt::Task.FromResult(expectedResponse), null, null, null, null));
PredictionServiceClient client = new PredictionServiceClientImpl(mockGrpcClient.Object, null);
PredictResponse responseCallSettings = await client.PredictAsync(request, gaxgrpc::CallSettings.FromCancellationToken(st::CancellationToken.None));
xunit::Assert.Same(expectedResponse, responseCallSettings);
PredictResponse responseCancellationToken = await client.PredictAsync(request, st::CancellationToken.None);
xunit::Assert.Same(expectedResponse, responseCancellationToken);
mockGrpcClient.VerifyAll();
}
/// <summary>Snippet for BatchPredict</summary>
public void BatchPredictResourceNames()
{
// Snippet: BatchPredict(ModelName, BatchPredictInputConfig, BatchPredictOutputConfig, IDictionary<string,string>, CallSettings)
// Create client
PredictionServiceClient predictionServiceClient = PredictionServiceClient.Create();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[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 BatchPredictRequestObject()
{
// 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;
}
}
/// <summary>Snippet for GetModel</summary>
/// <remarks>
/// This snippet has been automatically generated for illustrative purposes only.
/// It may require modifications to work in your environment.
/// </remarks>
public void GetModelResourceNames()
{
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Model response = autoMlClient.GetModel(name);
}
/// <summary>Snippet for GetModel</summary>
/// <remarks>
/// This snippet has been automatically generated for illustrative purposes only.
/// It may require modifications to work in your environment.
/// </remarks>
public void GetModelRequestObject()
{
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
GetModelRequest request = new GetModelRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
};
// Make the request
Model response = autoMlClient.GetModel(request);
}
/// <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>
/// <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 ListModelEvaluationsAsync</summary>
/// <remarks>
/// This snippet has been automatically generated for illustrative purposes only.
/// It may require modifications to work in your environment.
/// </remarks>
public async Task ListModelEvaluationsRequestObjectAsync()
{
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ListModelEvaluationsRequest request = new ListModelEvaluationsRequest
{
ParentAsModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
Filter = "",
};
// Make the request
PagedAsyncEnumerable <ListModelEvaluationsResponse, ModelEvaluation> response = autoMlClient.ListModelEvaluationsAsync(request);
// Iterate over all response items, lazily performing RPCs as required
await response.ForEachAsync((ModelEvaluation item) =>
{
// Do something with each item
Console.WriteLine(item);
});
// Or iterate over pages (of server-defined size), performing one RPC per page
await response.AsRawResponses().ForEachAsync((ListModelEvaluationsResponse page) =>
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (ModelEvaluation 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 <ModelEvaluation> singlePage = await response.ReadPageAsync(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (ModelEvaluation 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;
}
/// <summary>Snippet for PredictAsync</summary>
public async Task PredictResourceNamesAsync()
{
// Snippet: PredictAsync(ModelName, ExamplePayload, IDictionary<string,string>, CallSettings)
// Additional: PredictAsync(ModelName, ExamplePayload, IDictionary<string,string>, CancellationToken)
// Create client
PredictionServiceClient predictionServiceClient = await PredictionServiceClient.CreateAsync();
// 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 = await predictionServiceClient.PredictAsync(name, payload, @params);
// End snippet
}
public async stt::Task UpdateModelRequestObjectAsync()
{
moq::Mock <AutoMl.AutoMlClient> mockGrpcClient = new moq::Mock <AutoMl.AutoMlClient>(moq::MockBehavior.Strict);
mockGrpcClient.Setup(x => x.CreateOperationsClient()).Returns(new moq::Mock <lro::Operations.OperationsClient>().Object);
UpdateModelRequest request = new UpdateModelRequest
{
Model = new Model(),
UpdateMask = new wkt::FieldMask(),
};
Model expectedResponse = new Model
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT_ID]", "[LOCATION_ID]", "[MODEL_ID]"),
DisplayName = "display_name137f65c2",
DatasetId = "dataset_id08d366d3",
CreateTime = new wkt::Timestamp(),
DeploymentState = Model.Types.DeploymentState.Deployed,
Etag = "etage8ad7218",
UpdateTime = new wkt::Timestamp(),
ImageClassificationModelMetadata = new ImageClassificationModelMetadata(),
TextClassificationModelMetadata = new TextClassificationModelMetadata(),
TranslationModelMetadata = new TranslationModelMetadata(),
TextExtractionModelMetadata = new TextExtractionModelMetadata(),
ImageObjectDetectionModelMetadata = new ImageObjectDetectionModelMetadata(),
TextSentimentModelMetadata = new TextSentimentModelMetadata(),
Labels =
{
{
"key8a0b6e3c",
"value60c16320"
},
},
};
mockGrpcClient.Setup(x => x.UpdateModelAsync(request, moq::It.IsAny <grpccore::CallOptions>())).Returns(new grpccore::AsyncUnaryCall <Model>(stt::Task.FromResult(expectedResponse), null, null, null, null));
AutoMlClient client = new AutoMlClientImpl(mockGrpcClient.Object, null);
Model responseCallSettings = await client.UpdateModelAsync(request, gaxgrpc::CallSettings.FromCancellationToken(st::CancellationToken.None));
xunit::Assert.Same(expectedResponse, responseCallSettings);
Model responseCancellationToken = await client.UpdateModelAsync(request, st::CancellationToken.None);
xunit::Assert.Same(expectedResponse, responseCancellationToken);
mockGrpcClient.VerifyAll();
}
public async stt::Task PredictRequestObjectAsync()
{
moq::Mock <PredictionService.PredictionServiceClient> mockGrpcClient = new moq::Mock <PredictionService.PredictionServiceClient>(moq::MockBehavior.Strict);
mockGrpcClient.Setup(x => x.CreateOperationsClient()).Returns(new moq::Mock <lro::Operations.OperationsClient>().Object);
PredictRequest request = new PredictRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
Payload = new ExamplePayload(),
Params =
{
{
"key8a0b6e3c",
"value60c16320"
},
},
};
PredictResponse expectedResponse = new PredictResponse
{
Payload =
{
new AnnotationPayload(),
},
Metadata =
{
{
"key8a0b6e3c",
"value60c16320"
},
},
PreprocessedInput = new ExamplePayload(),
};
mockGrpcClient.Setup(x => x.PredictAsync(request, moq::It.IsAny <grpccore::CallOptions>())).Returns(new grpccore::AsyncUnaryCall <PredictResponse>(stt::Task.FromResult(expectedResponse), null, null, null, null));
PredictionServiceClient client = new PredictionServiceClientImpl(mockGrpcClient.Object, null);
PredictResponse responseCallSettings = await client.PredictAsync(request, gaxgrpc::CallSettings.FromCancellationToken(st::CancellationToken.None));
xunit::Assert.Same(expectedResponse, responseCallSettings);
PredictResponse responseCancellationToken = await client.PredictAsync(request, st::CancellationToken.None);
xunit::Assert.Same(expectedResponse, responseCancellationToken);
mockGrpcClient.VerifyAll();
}
/// <summary>Snippet for PredictAsync</summary>
public async Task PredictRequestObjectAsync()
{
// Snippet: PredictAsync(PredictRequest, CallSettings)
// Additional: PredictAsync(PredictRequest, CancellationToken)
// Create client
PredictionServiceClient predictionServiceClient = await PredictionServiceClient.CreateAsync();
// Initialize request argument(s)
PredictRequest request = new PredictRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
Payload = new ExamplePayload(),
Params = { { "", "" }, },
};
// Make the request
PredictResponse response = await predictionServiceClient.PredictAsync(request);
// End snippet
}
/// <summary>Snippet for ListModelEvaluations</summary>
/// <remarks>
/// This snippet has been automatically generated for illustrative purposes only.
/// It may require modifications to work in your environment.
/// </remarks>
public void ListModelEvaluationsResourceNames()
{
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ModelName parent = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
string filter = "";
// Make the request
PagedEnumerable <ListModelEvaluationsResponse, ModelEvaluation> response = autoMlClient.ListModelEvaluations(parent, filter);
// Iterate over all response items, lazily performing RPCs as required
foreach (ModelEvaluation 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 (ListModelEvaluationsResponse page in response.AsRawResponses())
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (ModelEvaluation 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 <ModelEvaluation> 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 (ModelEvaluation 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;
}
public void GetModelRequestObject()
{
moq::Mock <AutoMl.AutoMlClient> mockGrpcClient = new moq::Mock <AutoMl.AutoMlClient>(moq::MockBehavior.Strict);
mockGrpcClient.Setup(x => x.CreateOperationsClient()).Returns(new moq::Mock <lro::Operations.OperationsClient>().Object);
GetModelRequest request = new GetModelRequest
{
Name = "name1c9368b0",
};
Model expectedResponse = new Model
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT_ID]", "[LOCATION_ID]", "[MODEL_ID]"),
DisplayName = "display_name137f65c2",
DatasetId = "dataset_id08d366d3",
CreateTime = new wkt::Timestamp(),
DeploymentState = Model.Types.DeploymentState.Deployed,
Etag = "etage8ad7218",
UpdateTime = new wkt::Timestamp(),
ImageClassificationModelMetadata = new ImageClassificationModelMetadata(),
TextClassificationModelMetadata = new TextClassificationModelMetadata(),
TranslationModelMetadata = new TranslationModelMetadata(),
TextExtractionModelMetadata = new TextExtractionModelMetadata(),
ImageObjectDetectionModelMetadata = new ImageObjectDetectionModelMetadata(),
TextSentimentModelMetadata = new TextSentimentModelMetadata(),
Labels =
{
{
"key8a0b6e3c",
"value60c16320"
},
},
};
mockGrpcClient.Setup(x => x.GetModel(request, moq::It.IsAny <grpccore::CallOptions>())).Returns(expectedResponse);
AutoMlClient client = new AutoMlClientImpl(mockGrpcClient.Object, null);
Model response = client.GetModel(request);
xunit::Assert.Same(expectedResponse, response);
mockGrpcClient.VerifyAll();
}
public void PredictRequestObject()
{
moq::Mock <PredictionService.PredictionServiceClient> mockGrpcClient = new moq::Mock <PredictionService.PredictionServiceClient>(moq::MockBehavior.Strict);
mockGrpcClient.Setup(x => x.CreateOperationsClient()).Returns(new moq::Mock <lro::Operations.OperationsClient>().Object);
PredictRequest request = new PredictRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
Payload = new ExamplePayload(),
Params =
{
{
"key8a0b6e3c",
"value60c16320"
},
},
};
PredictResponse expectedResponse = new PredictResponse
{
Payload =
{
new AnnotationPayload(),
},
Metadata =
{
{
"key8a0b6e3c",
"value60c16320"
},
},
PreprocessedInput = new ExamplePayload(),
};
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);
xunit::Assert.Same(expectedResponse, response);
mockGrpcClient.VerifyAll();
}
public void Predict()
{
moq::Mock <PredictionService.PredictionServiceClient> mockGrpcClient = new moq::Mock <PredictionService.PredictionServiceClient>(moq::MockBehavior.Strict);
PredictRequest request = new PredictRequest
{
EndpointAsEndpointName = EndpointName.FromProjectLocationEndpoint("[PROJECT]", "[LOCATION]", "[ENDPOINT]"),
Instances = { new wkt::Value(), },
Parameters = new wkt::Value(),
};
PredictResponse expectedResponse = new PredictResponse
{
Predictions = { new wkt::Value(), },
DeployedModelId = "deployed_model_idf0bd41af",
ModelAsModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
ModelDisplayName = "model_display_name8ef9ce34",
};
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.Endpoint, request.Instances, request.Parameters);
xunit::Assert.Same(expectedResponse, response);
mockGrpcClient.VerifyAll();
}
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);
}
