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mkdocs.yml
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site_name: BigDL
theme: null
extra_css: [extra.css]
theme_dir: mkdocs_windmill
repo_name: 'Fork on GitHub '
repo_url: 'https://github.com/intel-analytics/BigDL'
google_analytics: ['UA-125166209-1', 'analytics-zoo.github.io']
extra:
version: latest
article_nav_top: false
article_nav_bottom: false
pages:
- Overview: index.md
- Getting Started: gettingstarted.md
- Releases:
- Download: release-download.md
- Documentation: release-docs.md
- User Guide:
- Docker User Guide: DockerUserGuide/index.md
- Python:
- Install: PythonUserGuide/install.md
- Run: PythonUserGuide/run.md
- Develop: DeveloperGuide/python.md
- Library version: PythonUserGuide/python-lib-version.md
- FAQ: PythonUserGuide/python-faq.md
- Scala:
- Install: ScalaUserGuide/install.md
- Run: ScalaUserGuide/run.md
- Examples: examples.md
- Programming Guide:
- Pipeline APIs:
- DataFrame and ML Pipeline: ProgrammingGuide/nnframes.md
- Autograd: ProgrammingGuide/autograd.md
- Transfer Learning: ProgrammingGuide/transferlearning.md
- Model Serving: ProgrammingGuide/inference.md
- TFPark:
- TFPark Overview: ProgrammingGuide/TFPark/tensorflow.md
- How To Import Data: ProgrammingGuide/TFPark/how-to-import-data.md
- Text Models: ProgrammingGuide/TFPark/text-models.md
- BERT Classifier: ProgrammingGuide/TFPark/bert-classifier.md
- PyTorch: ProgrammingGuide/pytorch.md
- RayOnSpark: ProgrammingGuide/rayonspark.md
- Cluster Serving: ClusterServingGuide/ProgrammingGuide.md
- AutoML:
- Overview: ProgrammingGuide/AutoML/overview.md
- Time Series Forecasting: ProgrammingGuide/AutoML/forecasting.md
- Visualization: ProgrammingGuide/AutoML/visualization.md
- Feature Engineering:
- Working with Images: ProgrammingGuide/workingwithimages.md
- Working with Texts: ProgrammingGuide/workingwithtexts.md
- Built-in Models:
- Object Detection API: ProgrammingGuide/object-detection.md
- Image Classification API: ProgrammingGuide/image-classification.md
- Text Classification API: ProgrammingGuide/text-classification.md
- Recommendation API: ProgrammingGuide/recommendation.md
- Anomaly Detection API: ProgrammingGuide/anomaly-detection.md
- Text Matching API: ProgrammingGuide/text-matching.md
- Sequence to Sequence API: ProgrammingGuide/seq2seq.md
- Visualization: ProgrammingGuide/visualization.md
- Reference Use Cases: ProgrammingGuide/usercases-overview.md
- Run on Google Cloud Dataproc: ProgrammingGuide/run-on-dataproc.md
- Run on Google Colab: ProgrammingGuide/run-notebook-colab.md
- Run on Databricks: ProgrammingGuide/AnalyticsZoo-on-Databricks.md
- Run on Kubernetes cluster: ProgrammingGuide/k8s.md
- White Paper:
- BigDL: wp-bigdl.md
- API Guide:
- Pipeline APIs:
- NNFrames: APIGuide/PipelineAPI/nnframes.md
- Autograd-Math: APIGuide/PipelineAPI/math.md
- Autograd-Variable: APIGuide/PipelineAPI/variable.md
- Net: APIGuide/PipelineAPI/net.md
- Inference: APIGuide/PipelineAPI/inference.md
- Estimator: APIGuide/PipelineAPI/estimator.md
- TFPark API:
- KerasModel: APIGuide/TFPark/model.md
- TFEstimator: APIGuide/TFPark/estimator.md
- TFOptimizer: APIGuide/TFPark/tf-optimizer.md
- TFPredictor: APIGuide/TFPark/tf-pred.md
- TFDataset: APIGuide/TFPark/tf-dataset.md
- GANEstimator: APIGuide/TFPark/gan-estimator.md
- Text Models: APIGuide/TFPark/text-models.md
- BERT Classifier: APIGuide/TFPark/bert-classifier.md
- Cluster Serving: ClusterServingGuide/APIGuide.md
- AutoML:
- TimeSequencePredictor: APIGuide/AutoML/time-sequence-predictor.md
- Recipe: APIGuide/AutoML/recipe.md
- TimeSequencePipeline: APIGuide/AutoML/time-sequence-pipeline.md
- Feature Engineering:
- FeatureSet: APIGuide/FeatureEngineering/featureset.md
- Relation: APIGuide/FeatureEngineering/relation.md
- Image: APIGuide/FeatureEngineering/image.md
- Text: APIGuide/FeatureEngineering/text.md
- Models:
- Object Detection: APIGuide/Models/object-detection.md
- Image Classification: APIGuide/Models/image-classification.md
- Text Classification: APIGuide/Models/text-classification.md
- Recommendation: APIGuide/Models/recommendation.md
- Anomaly Detection: APIGuide/Models/anomaly-detection.md
- Text Matching: APIGuide/Models/text-matching.md
- Sequence to Sequence: APIGuide/Models/seq2seq.md
- Keras-Style API Guide:
- Python Guide: KerasStyleAPIGuide/keras-api-python.md
- Scala Guide: KerasStyleAPIGuide/keras-api-scala.md
- Layers:
- Activation: KerasStyleAPIGuide/Layers/activation.md
- Initialization: KerasStyleAPIGuide/Layers/initialization.md
- Core Layers: KerasStyleAPIGuide/Layers/core.md
- Convolutional Layers: KerasStyleAPIGuide/Layers/convolutional.md
- Pooling Layers: KerasStyleAPIGuide/Layers/pooling.md
- Recurrent Layers: KerasStyleAPIGuide/Layers/recurrent.md
- Normalization Layers: KerasStyleAPIGuide/Layers/normalization.md
- Embedding Layers: KerasStyleAPIGuide/Layers/embedding.md
- Dropout Layers: KerasStyleAPIGuide/Layers/dropout.md
- Advanced Activations: KerasStyleAPIGuide/Layers/advanced-activation.md
- Layer Wrappers: KerasStyleAPIGuide/Layers/wrappers.md
- Self Attention Layers: KerasStyleAPIGuide/Layers/self-attention.md
- Optimization:
- Train, evaluate or predict a model: KerasStyleAPIGuide/Optimization/training.md
- Optimizers: KerasStyleAPIGuide/Optimization/optimizers.md
- Objectives: KerasStyleAPIGuide/Optimization/objectives.md
#- Keras2-Style API Guide:
# - Python Guide: Keras2StyleAPIGuide/keras-api-python.md
# - Scala Guide: Keras2StyleAPIGuide/keras-api-scala.md
# - Layers:
# - Activation: Keras2StyleAPIGuide/Layers/activation.md
# - Initialization: Keras2StyleAPIGuide/Layers/initialization.md
# - Core Layers: Keras2StyleAPIGuide/Layers/core.md
# - Convolutional Layers: Keras2StyleAPIGuide/Layers/convolutional.md
# - Pooling Layers: Keras2StyleAPIGuide/Layers/pooling.md
# - Merge Layers: Keras2StyleAPIGuide/Layers/merge.md
# - Recurrent Layers: Keras2StyleAPIGuide/Layers/recurrent.md
# - Normalization Layers: Keras2StyleAPIGuide/Layers/normalization.md
# - Embedding Layers: Keras2StyleAPIGuide/Layers/embedding.md
# - Dropout Layers: Keras2StyleAPIGuide/Layers/dropout.md
# - Advanced Activations: Keras2StyleAPIGuide/Layers/advanced-activation.md
# - Layer Wrappers: Keras2StyleAPIGuide/Layers/wrappers.md
# - Optimization:
# - Train, evaluate or predict a model: Keras2StyleAPIGuide/Optimization/training.md
# - Optimizers: Keras2StyleAPIGuide/Optimization/optimizer.md
# - Losses: Keras2StyleAPIGuide/Optimization/loss.md
- Project Chronos:
- Overview: Chronos/overview.md
- Reference Use Cases:
- Network Traffic: Chronos/UseCase/network-traffic.md
- Tutorials:
- Built-in Models:
- LSTMForecaster and MTNetForecaster: Chronos/tutorials/LSTMForecasterAndMTNetForecaster.md
- TCMFForecaster: Chronos/tutorials/TCMFForecaster.md
- AutoTS: Chronos/tutorials/Autots.md
- Algorithms:
- MTNet: Chronos/Algorithm/MTNetAlgorithm.md
- LSTM: Chronos/Algorithm/LSTMAlgorithm.md
- API:
- Built-in Models:
- LSTMForecaster: Chronos/API/LSTMForecaster.md
- MTNetForecaster: Chronos/API/MTNetForecaster.md
- TCMFForecaster: Chronos/API/TCMFForecaster.md
- TCNForecaster: Chronos/API/TCNForecaster.md
- AutoTS:
- AutoTSTrainer: Chronos/API/AutoTSTrainer.md
- TSPipeline: Chronos/API/TSPipeline.md
- Project Orca:
- Overview: Orca/overview.md
#- OrcaContext: Orca/Overview/orca-context.md
- Data: Orca/data.md
- TensorFlow Quickstart: Orca/orca-tf-quickstart.md
- TensorFlow Keras Quickstart: Orca/orca-keras-quickstart.md
- TensorFlow Estimator: Orca/orca-tf-estimator.md
- PyTorch Quickstart: Orca/orca-pytorch-quickstart.md
- PyTorch Estimator: Orca/orca-pytorch-estimator.md
- OpenVINO Estimator: Orca/orca-openvino-estimator.md
- BigDL Estimator: Orca/orca-bigdl-estimator.md
- Powered by: powered-by.md
- Presentations: presentations.md
- Meetup & Webinar: meetup.md
- FAQ and Known Issues: known-issues.md