Releases: intel-analytics/analytics-zoo
analytics-zoo release 0.11.2
Highlights
Note: Analytics Zoo v0.11.2 has been updated to include functional and security updates. Users should update to the latest version.
analytics-zoo release 0.11.1
Highlights
Note: Analytics Zoo v0.11.1 has been updated to include functional and security updates. Users should update to the latest version.
Analytics Zoo 0.11.0 Release
Highlights
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Chronos: an overhaul of the previous Zouwu time-series analysis library, with:
- Built-in support of ~100 algorithms for time series forecast (e.g., TCN, seq2seq, ARIMA, Prophet, etc.), anomaly detection (e.g., DBScan, AutoEncoder etc.), and feature transformations (using TSDataset).
- Automatic tuning of built-in models (e.g., AutoProphet, AutoARIMA, AutoXGBoost, etc.) using AutoML
- Simple APIs for tuning user-defined models (including PyTorch and Keras) with AutoML
- Improved APIs, documentation, quick start examples, etc.
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Reference implementation of large-scale feature transformation pipelines for recommendation systems (e.g., DLRM, DIEN, W&D, etc.)
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Enhancements to Orca (scaling TF/PyTorch models to distributed Big Data) for end-to-end computer vision pipelines (distributed image preprocessing, training and inference); for more information, please see our CPVR 2021 tutorial.
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Initial Python and PySpark application support for PPML (privacy preserving big data and machine learning)
Analytics Zoo 0.10.0 Release
Highlights
- Improved document website, including quickstarts for Orca, RayOnSpark, Zouwu and BigDL
- Orca library: unified API for running distributed deep learning (TensorFlow, PyTorch, Keras, BigDL, OpenVINO, etc.) on distributed Big Data (using Apache Spark and Ray)
- Experimental PPML support for privacy preserving big data analysis and machine learning (i.e., running unmodified Apache Spark, Apache Flink, BigDL and TF/PyTorch/OpenVINO inference in a secure fashion on cloud)
- Improved AutoML and Time Series (Zouwu) support, including AutoXGBoost, TCN, ONNX inference, etc.
- Improved Cluster Serving (including performance, stability, log information, etc.)
analytics-zoo release 0.9.0
Highlights
analytics-zoo release 0.8.1
Highlights
analytics-zoo release 0.8.0
Highlights
- Improved support for running Analytics Zoo on K8s
- Improvement to tfpark (including support of pre-made TensorFlow Estimator, and support of Spark Dataframe and tf.data.Dataset in zoo.tfpark.TFDataset)
- Improvement to Cluster Serving (including support for performance mode, TensorFlow saved model, and better TensorBoard integration)
- Improvement to time series analysis (including MTNet and project Zouwu)
- Support for Distributed MXNet training on Ray
- Upgrade OpenVINO support to 2020.R1