.vsts-dotnet-ci.yml

phases:

- phase: CreditCardFraudDetection
  queue: Hosted VS2017
  steps:
  - task: DotNetCoreCLI@2
    displayName: Build CreditCardFraudDetection (BinaryClassification)
    inputs:
      projects: '.\samples\csharp\getting-started\BinaryClassification_CreditCardFraudDetection\CreditCardFraudDetection.sln'

- phase: SentimentAnalysis
  queue: Hosted VS2017
  steps:
  - task: DotNetCoreCLI@2
    displayName: Build SentimentAnalysis (BinaryClassification)
    inputs:
      projects: '.\samples\csharp\getting-started\BinaryClassification_SentimentAnalysis\SentimentAnalysis-Solution.sln'

- phase: CustomerSegmentation
  queue: Hosted VS2017
  steps:
  - task: DotNetCoreCLI@2
    displayName: Build CustomerSegmentation (Clustering)
    inputs:
      projects: '.\samples\csharp\getting-started\Clustering_CustomerSegmentation\CustomerSegmentation.sln'

- phase: IrisClustering
  queue: Hosted VS2017
  steps:
  - task: DotNetCoreCLI@2
    displayName: Build Iris (Clustering)
    inputs:
      projects: '.\samples\csharp\getting-started\Clustering_Iris\Clustering_Iris.sln'

- phase: TensorFlowScorer
  queue: Hosted VS2017
  steps:
  - task: DotNetCoreCLI@2
    displayName: TensorFlow Scorer (Image Classification)
    inputs:
      projects: '.\samples\csharp\getting-started\DeepLearning_ImageClassification_TensorFlow\TF.Model.Scorer.sln'

- phase: TensorFlowFeaturizerEstimator
  queue: Hosted VS2017
  steps:
  - task: DotNetCoreCLI@2
    displayName: TensorFlow Featurizer Estimator (Image Classification)
    inputs:
      projects: '.\samples\csharp\getting-started\DeepLearning_TensorFlowEstimator\TF.Featurizer.Estimator.sln'

- phase: IrisMultiClass
  queue: Hosted VS2017
  steps:
  - task: DotNetCoreCLI@2
    displayName: Build Iris (MulticlassClassification)
    inputs:
      projects: '.\samples\csharp\getting-started\MulticlassClassification_Iris\MulticlassClassification_Iris.sln'

- phase: BikeSharingDemand
  queue: Hosted VS2017
  steps:
  - task: DotNetCoreCLI@2
    displayName: Build BikeSharingDemand (Regression)
    inputs:
      projects: '.\samples\csharp\getting-started\Regression_BikeSharingDemand\BikeSharingDemand.sln'

- phase: TaxiFarePrediction
  queue: Hosted VS2017
  steps:
  - task: DotNetCoreCLI@2
    displayName: Build TaxiFarePrediction (Regression)
    inputs:
      projects: '.\samples\csharp\getting-started\Regression_TaxiFarePrediction\TaxiFarePrediction.sln'

- phase: GitHubLabeler
  queue: Hosted VS2017
  steps:
  - task: DotNetCoreCLI@2
    displayName: Build GitHubLabeler
    inputs:
      projects: '.\samples\csharp\end-to-end-apps\MulticlassClassification-GitHubLabeler\GitHubLabeler.sln'

- phase: eShopDashboardML
  queue: Hosted VS2017
  steps:
  - task: DotNetCoreCLI@2
    displayName: Build eShopDashboardML (Regression)
    inputs:
      projects: '.\samples\csharp\end-to-end-apps\Regression-SalesForecast\eShopDashboardML.sln'

- phase: MovieRecommenderE2E
  queue: Hosted VS2017
  steps:
  - task: DotNetCoreCLI@2
    displayName: Build MovieRecommender E2E (Recommendation)
    inputs:
      projects: '.\samples\csharp\end-to-end-apps\Recommendation-MovieRecommender\Recommendation_MovieRecommenderApp.sln'

- phase: MovieRecommenderMF
  queue: Hosted VS2017
  steps:
  - task: DotNetCoreCLI@2
    displayName: Build MovieRecommender MF (Recommendation)
    inputs:
      projects: '.\samples\csharp\getting-started\MatrixFactorization_MovieRecommendation\MovieRecommendation.sln'

- phase: Mnist
  queue: Hosted VS2017
  steps:
  - task: DotNetCoreCLI@2
    displayName: Build Mnist (MulticlassClassification)
    inputs:
      projects: '.\samples\csharp\getting-started\MulticlassClassification_mnist\MulticlassClassification_mnist.sln'

- phase: ShampooSalesSpikeAndChangeDetection
  queue: Hosted VS2017
  steps:
  - task: DotNetCoreCLI@2
    displayName: Build Shampoo Sales spike and change Detection (Time Series)
    inputs:
      projects: '.\samples\csharp\getting-started\SpikeDetection_ShampooSales\ShampooSales.sln'

- phase: PowerConsumptionAnomalyDetection
  queue: Hosted VS2017
  steps:
  - task: DotNetCoreCLI@2
    displayName: Build Power Anomaly Detection (Time Series)
    inputs:
      projects: '.\samples\csharp\getting-started\TimeSeries_PowerAnomalyDetection\PowerAnomalyDetection.sln'

- phase: YoloOnnxScorer
  queue: Hosted VS2017
  steps:
  - task: DotNetCoreCLI@2
    displayName: Build Onnx scorer (Object Detection)
    inputs:
      projects: '.\samples\csharp\getting-started\DeepLearning_ObjectDetection_Onnx\ObjectDetection.sln'

- phase: ShampooSalesSpikeChangeDetectionE2E
  queue: Hosted VS2017
  steps:
  - task: DotNetCoreCLI@2
    displayName: Build Shampoo Sales spike and change Detection E2E(Time Series)
    inputs:
      projects: '.\samples\csharp\csharp\end-to-end-apps\AnomalyDetection-ShampooSales-WinForms\AnomalyDetectionConsoleApp\AnomalyDetectionConsoleApp.csproj'