Docker image is used for fast analytics-zoo installation and configuration.
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Analytics Zoo makes it easy to build deep learning application on Spark and BigDL, by providing an end-to-end Analytics + AI Platform (including high level pipeline APIs, built-in deep learning models, reference use cases, etc.).
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High level pipeline APIs
nnframes: native deep learning support in Spark DataFrames and ML Pipelines
autograd: build custom layer/loss using auto differentiation operations
Transfer learning: customize pretained model for feature extraction or fine-tuning
Built-in deep learning models
Object detection API: high-level API and pretrained models (e.g., SSD and Faster-RCNN) for object detection
Image classification API: high-level API and pretrained models (e.g., VGG, Inception, ResNet, MobileNet, etc.) for image classification
Text classification API: high-level API and pre-defined models (using CNN, LSTM, etc.) for text classification
Recommedation API: high-level API and pre-defined models (e.g., Neural Collaborative Filtering, Wide and Deep Learning, etc.) for recommendation
Reference use cases: a collection of end-to-end reference use cases (e.g., anomaly detection, sentiment analysis, fraud detection, image augmentation, object detection, variational autoencoder, etc.)
To use the image
To start a notebook directly with a specified port(e.g. 12345). You can view the notebook on http://[host-ip]:12345
sudo docker run -it --rm -p 12345:12345 -e NotebookPort=12345 -e NotebookToken="your-token" intelanalytics/analytics-zoo:default
sudo docker run -it --rm --net=host -e NotebookPort=12345 -e NotebookToken="your-token" intelanalytics/analytics-zoo:default
sudo docker run -it --rm -p 12345:12345 -e NotebookPort=12345 -e NotebookToken="your-token" intelanalytics/analytics-zoo:0.2.0-bigdl_0.6.0-spark_2.2.0
sudo docker run -it --rm --net=host -e NotebookPort=12345 -e NotebookToken="your-token" intelanalytics/analytics-zoo:0.2.0-bigdl_0.6.0-spark_2.2.0
If you need http and https proxy in your environment:
sudo docker run -it --rm -p 12345:12345 -e NotebookPort=12345 -e NotebookToken="your-token" -e http_proxy=http://your-proxy-host:your-proxy-port -e https_proxy=https://your-proxy-host:your-proxy-port intelanalytics/analytics-zoo:default
sudo docker run -it --rm --net=host -e NotebookPort=12345 -e NotebookToken="your-token" -e http_proxy=http://your-proxy-host:your-proxy-port -e https_proxy=https://your-proxy-host:your-proxy-port intelanalytics/analytics-zoo:default
sudo docker run -it --rm -p 12345:12345 -e NotebookPort=12345 -e NotebookToken="your-token" -e http_proxy=http://your-proxy-host:your-proxy-port -e https_proxy=https://your-proxy-host:your-proxy-port intelanalytics/analytics-zoo:0.2.0-bigdl_0.6.0-spark_2.2.0
sudo docker run -it --rm --net=host -e NotebookPort=12345 -e NotebookToken="your-token" -e http_proxy=http://your-proxy-host:your-proxy-port -e https_proxy=https://your-proxy-host:your-proxy-port intelanalytics/analytics-zoo:0.2.0-bigdl_0.6.0-spark_2.2.0
You can also start the container first:
sudo docker run -it --rm --net=host -e NotebookPort=12345 -e NotebookToken="your-token" intelanalytics/analytics-zoo:default bash
In the container, after setting proxy and ports, you can start the Notebook by:
/opt/work/start-notebook.sh
README URL: https://github.com/intel-analytics/analytics-zoo/blob/master/docker/zoo/README.md
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docker pull intelanalytics/analytics-zoo