docs/machine-learning/toc.yml - main - aprogrammer/dotnet-docs

docs/machine-learning/toc.yml
157 строк6 KB
Jon Wood
Custom Vision ONNX in ML.NET (#29093)
19 май 2024, 08:47
19 май 2024, 08:4757b859f
items:
- name: ML.NET
  href: index.yml
- name: Overview
  href: overview.md
- name: Model Builder & CLI
  items:
  - name: The ML.NET Model Builder tool
    href: automate-training-with-model-builder.md
  - name: The ML.NET command-line interface
    href: automate-training-with-cli.md
    displayName: cli
    expanded: true
- name: API
  items:
  - name: The ML.NET API
    href: how-does-mldotnet-work.md
  - name: What is Automated Machine Learning (AutoML)?
    href: automated-machine-learning-mlnet.md
    expanded: true
- name: What's new
  href: whats-new/overview.md
- name: Tutorials
  items:
  - name: Model Builder
    items:
    - name: Predict prices (value prediction)
      href: tutorials/predict-prices-with-model-builder.md
    - name: Analyze sentiment in Razor Pages (text classification)
      href: tutorials/sentiment-analysis-model-builder.md
    - name: Categorize health violations (data classification)
      href: tutorials/health-violation-classification-model-builder.md
    - name: Categorize land use from satellite images (image classification)
      href: tutorials/image-classification-model-builder.md
    - name: Detect traffic signs (object detection)
      href: tutorials/object-detection-model-builder.md
    - name: Train a recommendation model
      href: tutorials/movie-recommendation-model-builder.md
  - name: CLI
    items:
    - name: Analyze sentiment
      href: tutorials/sentiment-analysis-cli.md
  - name: API
    items:
    - name: Overview
      href: tutorials/index.md
    - name: Analyze sentiment (binary classification)
      href: tutorials/sentiment-analysis.md
    - name: Categorize support issues (multiclass classification)
      href: tutorials/github-issue-classification.md
    - name: Predict prices (regression)
      href: tutorials/predict-prices.md
    - name: Categorize iris flowers (k-means clustering)
      href: tutorials/iris-clustering.md
    - name: Recommend movies (matrix factorization)
      href: tutorials/movie-recommendation.md
    - name: Image classification (transfer learning)
      href: tutorials/image-classification-api-transfer-learning.md
    - name: Classify images (model composition)
      href: tutorials/image-classification.md
    - name: Forecast bike rental demand (time series)
      href: tutorials/time-series-demand-forecasting.md
    - name: Call-volume spikes (anomaly detection)
      href: tutorials/phone-calls-anomaly-detection.md
    - name: Product sales analysis (anomaly detection)
      href: tutorials/sales-anomaly-detection.md
    - name: Detect objects in images (object detection)
      href: tutorials/object-detection-onnx.md
    - name: Detect objects in images from Custom Vision ONNX model
      href: tutorials/object-detection-custom-vision-onnx.md
    - name: Classify sentiment using TensorFlow (text classification)
      href: tutorials/text-classification-tf.md
  - name: Infer.NET
    items:
    - name: Probabilistic programming with Infer.NET
      href: how-to-guides/matchup-app-infer-net.md
- name: Concepts
  items:
  - name: ML.NET tasks
    href: resources/tasks.md
  - name: Data transforms
    href: resources/transforms.md
  - name: Algorithms
    href: how-to-choose-an-ml-net-algorithm.md
  - name: Deep learning overview
    href: deep-learning-overview.md
  - name: Model evaluation metrics
    href: resources/metrics.md
  - name: Improve model accuracy
    href: resources/improve-machine-learning-model-ml-net.md
- name: How-to guides
  items:
  - name: Model Builder & CLI
    items:
    - name: Load data into Model Builder
      href: how-to-guides/load-data-model-builder.md
    - name: Label images for object detection
      href: how-to-guides/label-images-for-object-detection-using-vott.md
    - name: Install Model Builder
      href: how-to-guides/install-model-builder.md
    - name: Install GPU in Model Builder
      href: how-to-guides/install-gpu-model-builder.md
    - name: Install the CLI
      href: how-to-guides/install-ml-net-cli.md
    - name: Format data for named entity recognition
      href: how-to-guides/ner-dataset-guide.md
      displayName: ner
  - name: API
    items:
    - name: Install extra dependencies
      href: how-to-guides/install-extra-dependencies.md
    - name: Load data
      href: how-to-guides/load-data-ml-net.md
    - name: Prepare data
      href: how-to-guides/prepare-data-ml-net.md
    - name: Work with DataFrames
      href: how-to-guides/getting-started-dataframe.md
    - name: Train, evaluate, and explain the model
      items:
      - name: Train and evaluate a model
        href: how-to-guides/train-machine-learning-model-ml-net.md
      - name: Use the automated ML API
        href: how-to-guides/how-to-use-the-automl-api.md
      - name: Train a model using cross-validation
        href: how-to-guides/train-machine-learning-model-cross-validation-ml-net.md
      - name: Inspect intermediate pipeline data values
        href: how-to-guides/inspect-intermediate-data-ml-net.md
      - name: Determine model feature importance with PFI
        href: how-to-guides/explain-machine-learning-model-permutation-feature-importance-ml-net.md
    - name: Use a trained model
      items:
      - name: Save and load a model
        href: how-to-guides/save-load-machine-learning-models-ml-net.md
      - name: Use a model to make predictions
        href: how-to-guides/machine-learning-model-predictions-ml-net.md
      - name: Retrain a model
        href: how-to-guides/retrain-model-ml-net.md
      - name: Deploy a model to Azure Functions
        href: how-to-guides/serve-model-serverless-azure-functions-ml-net.md
      - name: Deploy a model to a web API
        href: how-to-guides/serve-model-web-api-ml-net.md
      - name: Consume Azure Machine Learning ONNX model
        href: /azure/machine-learning/how-to-use-automl-onnx-model-dotnet?toc=/dotnet/machine-learning/how-to-guides/toc.json&bc=/dotnet/machine-learning/how-to-guides/toc.json
- name: Reference
  items:
  - name: CLI reference
    href: reference/ml-net-cli-reference.md
- name: Resources
  items:
  - name: Overview
    href: resources/index.md
  - name: Glossary
    href: resources/glossary.md
  - name: Azure training resources
    href: resources/azure-training-concepts-model-builder.md
  - name: CLI telemetry
    href: resources/ml-net-cli-telemetry.md