Beispiel #1
0
        public static long UploadDataAndTrainModel(string modelId, BuildType buildType = BuildType.Recommendation)
        {
            long buildId = -1;
            // Trigger a recommendation build.
            string operationLocationHeader;

            if (buildType == BuildType.Recommendation)
            {
                buildId = reco.CreateRecommendationsBuild(modelId, "Recommendation Build " + DateTime.UtcNow.ToString("yyyyMMddHHmmss"),
                                                          enableModelInsights: false,
                                                          operationLocationHeader: out operationLocationHeader);
            }
            else
            {
                buildId = reco.CreateFbtBuild(modelId, "Frequenty-Bought-Together Build " + DateTime.UtcNow.ToString("yyyyMMddHHmmss"),
                                              enableModelInsights: false,
                                              operationLocationHeader: out operationLocationHeader);
            }

            // Monitor the build and wait for completion.
            var buildInfo = reco.WaitForOperationCompletion <BuildInfo>(RecommendationsApiWrapper.GetOperationId(operationLocationHeader));

            // Waiting  in order to propagate the model updates from the build...
            Thread.Sleep(TimeSpan.FromSeconds(40));


            reco.SetActiveBuild(modelId, buildId);

            return(buildId);
        }
Beispiel #2
0
        /// <summary>
        /// Shows how to get item-to-item recommendations in batch.
        /// You can learn more about batch scoring at https://azure.microsoft.com/en-us/documentation/articles/cognitive-services-recommendations-batch-scoring/
        /// Before you can use this method, you need to provide your blob account name, blob account key, and the input container name.
        /// </summary>
        /// <param name="recommender">Wrapper that maintains API key</param>
        /// <param name="modelId">Model ID</param>
        /// <param name="buildId">Build ID</param>
        public static void GetRecommendationsBatch(RecommendationsApiWrapper recommender, string modelId, long buildId)
        {
            #region  setup
            // Set storage credentials and copy input file that defines items we want to get recommendations to the Blob Container.
            string       blobStorageAccountName = ""; // enter your account name here.
            string       blobStorageAccountKey  = ""; // enter your account key here
            const string containerName          = ""; // enter your container name here

            string outputContainerName = containerName;
            string baseLocation        = "https://" + blobStorageAccountName + ".blob.core.windows.net/";
            string inputFileName       = "batchInput.json";  // the batch input
            string outputFileName      = "batchOutput.json"; // the batch output
            string errorFileName       = "batchError.json";  // the batch error

            // Validate user entered credentials.
            if (String.IsNullOrEmpty(blobStorageAccountKey) || String.IsNullOrEmpty(blobStorageAccountKey) || String.IsNullOrEmpty(containerName))
            {
                Console.WriteLine("GetRecommendationsBatch: Provide your blob account name, blob account key, and the input container name.");
                Console.WriteLine("Press any key to continue.");
                Console.ReadKey();
            }

            string connectionString = "DefaultEndpointsProtocol=https;AccountName=" + blobStorageAccountName + ";AccountKey=" + blobStorageAccountKey;

            // Copy input file from resources directory to blob storate
            var        sourceStorageAccount = CloudStorageAccount.Parse(connectionString);
            BlobHelper bh           = new BlobHelper(sourceStorageAccount, containerName);
            var        resourcesDir = Path.Combine(Path.GetDirectoryName(Assembly.GetExecutingAssembly().Location), "Resources");
            bh.PutBlockBlob(containerName, inputFileName, File.ReadAllText(Path.Combine(resourcesDir, inputFileName)));

            var inputSas  = BlobHelper.GenerateBlobSasToken(connectionString, containerName, inputFileName);
            var outputSas = BlobHelper.GenerateBlobSasToken(connectionString, outputContainerName, outputFileName);
            var errorSas  = BlobHelper.GenerateBlobSasToken(connectionString, outputContainerName, errorFileName);

            // Now we need to define the batch job to perform.
            BatchJobsRequestInfo batchJobsRequestInfo = new BatchJobsRequestInfo
            {
                Input = new StorageBlobInfo
                {
                    AuthenticationType = "PublicOrSas",
                    BaseLocation       = baseLocation,
                    RelativeLocation   = containerName + "/" + inputFileName,
                    SasBlobToken       = inputSas
                },

                Output = new StorageBlobInfo
                {
                    AuthenticationType = "PublicOrSas",
                    BaseLocation       = baseLocation,
                    RelativeLocation   = containerName + "/" + outputFileName,
                    SasBlobToken       = outputSas
                },

                Error = new StorageBlobInfo
                {
                    AuthenticationType = "PublicOrSas",
                    BaseLocation       = baseLocation,
                    RelativeLocation   = containerName + "/" + errorFileName,
                    SasBlobToken       = errorSas
                },

                // You may modify the information below to meet your request needs.
                // Note that currently only "ItemRecommend" is supported.
                Job = new JobInfo
                {
                    ApiName         = "ItemRecommend",
                    ModelId         = modelId, //staging model id for books
                    BuildId         = buildId,
                    NumberOfResults = 10,
                    IncludeMetadata = false,
                    MinimalScore    = 0
                }
            };

            #endregion


            #region start the job, wait for completion

            // kick start the batch job.
            string operationLocationHeader = "";
            var    jobId = recommender.StartBatchJob(batchJobsRequestInfo, out operationLocationHeader);

            // Monitor the batch job and wait for completion.
            Console.WriteLine("Monitoring batch job {0}", jobId);

            var batchInfo = recommender.WaitForOperationCompletion <BatchJobInfo>(RecommendationsApiWrapper.GetOperationId(operationLocationHeader));
            Console.WriteLine("Batch {0} ended with status {1}.\n", jobId, batchInfo.Status);


            if (String.Compare(batchInfo.Status, "Succeeded", StringComparison.OrdinalIgnoreCase) != 0)
            {
                Console.WriteLine("Batch job {0} did not end successfully, the sample app will stop here.", jobId);
                Console.WriteLine("Press any key to end");
                Console.ReadKey();
                return;
            }
            else
            {
                // Copy the output file from blob starage into the local machine.
                Stream reader         = bh.GetBlobReader(outputContainerName, outputFileName);
                string outputFullPath = Path.Combine(resourcesDir, outputFileName);
                using (var fileStream = File.Create(outputFullPath))
                {
                    reader.Seek(0, SeekOrigin.Begin);
                    reader.CopyTo(fileStream);
                }

                Console.WriteLine("The output of the blob operation has been saved to: {0}", outputFullPath);
            }
            #endregion
        }
Beispiel #3
0
        /// <summary>
        /// Creates a model, upload catalog and usage files and trigger a build.
        /// Returns the Build ID of the trained build.
        /// </summary>
        /// <param name="recommender">Wrapper that maintains API key</param>
        /// <param name="buildType">The type of build. (Recommendation or FBT)</param>
        /// <param name="modelId">The model Id</param>
        public static long UploadDataAndTrainModel(string modelId, BuildType buildType = BuildType.Recommendation)
        {
            long buildId = -1;

            // Import data to the model.
            Console.WriteLine("Importing catalog files...");

            int catalogFilesCount = 0;

            foreach (string catalog in Directory.GetFiles(ProductCatalogPath, "*.*"))
            {
                var catalogFile = new FileInfo(catalog);
                recommender.UploadCatalog(modelId, catalogFile.FullName, catalogFile.Name);
                catalogFilesCount++;
            }

            Console.WriteLine("Imported {0} catalog files.", catalogFilesCount);


            Console.WriteLine("Importing usage files...");
            int usageFilesCount = 0;

            foreach (string usage in Directory.GetFiles(UsageFilesPath, "*.*"))
            {
                var usageFile = new FileInfo(usage);
                recommender.UploadUsage(modelId, usageFile.FullName, usageFile.Name);
                usageFilesCount++;
            }

            Console.WriteLine("Imported {0} usage files.", usageFilesCount);

            #region training
            // Trigger a recommendation build.
            string operationLocationHeader;
            Console.WriteLine("Triggering build for model '{0}'. \nThis will take a few minutes...", modelId);
            if (buildType == BuildType.Recommendation)
            {
                buildId = recommender.CreateRecommendationsBuild(modelId, "Recommendation Build " + DateTime.UtcNow.ToString("yyyyMMddHHmmss"),
                                                                 enableModelInsights: false,
                                                                 operationLocationHeader: out operationLocationHeader);
            }
            else
            {
                buildId = recommender.CreateFbtBuild(modelId, "Frequenty-Bought-Together Build " + DateTime.UtcNow.ToString("yyyyMMddHHmmss"),
                                                     enableModelInsights: false,
                                                     operationLocationHeader: out operationLocationHeader);
            }

            // Monitor the build and wait for completion.
            Console.WriteLine("Monitoring build {0}", buildId);
            var buildInfo = recommender.WaitForOperationCompletion <BuildInfo>(RecommendationsApiWrapper.GetOperationId(operationLocationHeader));
            Console.WriteLine("Build {0} ended with status {1}.\n", buildId, buildInfo.Status);

            if (String.Compare(buildInfo.Status, "Succeeded", StringComparison.OrdinalIgnoreCase) != 0)
            {
                Console.WriteLine("Build {0} did not end successfully, the sample app will stop here.", buildId);
                Console.WriteLine("Press any key to end");
                Console.ReadKey();
                return(-1);
            }

            // Waiting  in order to propagate the model updates from the build...
            Console.WriteLine("Waiting for 40 sec for propagation of the built model...");
            Thread.Sleep(TimeSpan.FromSeconds(40));

            // The below api is more meaningful when you want to give a certain build id to be an active build.
            // Currently this app has a single build which is already active.
            Console.WriteLine("Setting build {0} as active build.", buildId);
            recommender.SetActiveBuild(modelId, buildId);
            #endregion

            return(buildId);
        }