DLPy v1.3.0

Highlights Include:

-DLPy now supports the DLModelzoo action through the use of MZModel.
-Real-time plots for hyper-parameter tuning are available with DLModelzoo.
-New examples are available for APIs with DLModelzoo.
-Segmentation models can produce PNG/base64 output.
-Additional pre-defined network architectures are available. Examples include ENet and Efficient-Net.

• Various bug fixes

The latest DLPy release can be installed using the following pip command:

pip install sas-dlpy

Or, if you use Anaconda:

conda install -c sas-institute sas-dlpy

DLPy v1.2.0

Highlights Include:

• Supporting features released with SAS Viya 3.5
• APIs for Image embeddings
• Survival analysis support
• More example notebooks
• Various bug fixes

The latest DLPy release can be installed using the following pip command:

pip install sas-dlpy

Or, if you use Anaconda:

conda install -c sas-institute sas-dlpy

DLPy v1.1.2

Highlights Include:

• Updating and expanding the documentation
• Various bug fixes

The latest DLPy release can be installed using the following pip command:

pip install sas-dlpy

Or, if you use Anaconda:

conda install -c sas-institute sas-dlpy

DLPy v1.1.1

Highlights Include:

• New speech-to-text APIs that enables us doing language model post processing
• APIs for Image captioning
• More example notebooks
• Updated weights (located: http://support.sas.com/documentation/prod-p/vdmml/zip/index.html) supporting new version of ONNX
• Various bug fixes

The latest DLPy release can be installed using the following pip command:

pip install sas-dlpy

Or, if you use Anaconda:

conda install -c sas-institute sas-dlpy

DLPy v1.1.0

Highlights Include:

• New layers: transpose convolution and group convolution
• New architectures: U-Net, MobileNet, and ShuffleNet
• Supporting FasterRCNN for object detection
• Supporting image segmentation
• Various bug fixes
• Improved documentation
• Improved code coverage

The latest DLPy release can be installed using the following pip command:

pip install sas-dlpy

Or, if you use Anaconda:

conda install -c sas-institute sas-dlpy

DLPy v1.0.2

Highlights Include:

• Various bug fixes
• A new way of creating models
• Multi-step forecasting

The latest DLPy release can be installed using the following pip command:

pip install sas-dlpy

Or, if you use Anaconda:

conda install -c sas-institute sas-dlpy

DLPy v1.0.1

Highlights Include:

• Various bug fixes
• ONNX import and export support
• Re-organization of examples

The latest DLPy release can be installed using the following pip command:

pip install sas-dlpy

Or, if you use Anaconda:

conda install -c sas-institute sas-dlpy

DLPy v1.0.0

Highlights Include:

• Text, audio, and time series support in addition to image
• APIs for RNN based tasks: text classification, text generation, and sequence labeling 
• APIs for object detection
• APIs for time series processing and modeling
• APIs for processing audio files and creating speech recognition models
• Additional pre-defined network architectures such as DenseNet, DarkNet, Inception, and Yolo with enhanced data visualization and metadata handling

Note that with DLPy 1.0, we moved to python-style functions and parameters. This might break your old code with camelCase parameters and functions.  It now also requires Python 3.4+.

The latest DLPy release can be installed using the following pip command:

pip install sas-dlpy

Or, if you use Anaconda:

conda install -c sas-institute sas-dlpy

DLPy v0.7.0

This is the last release before the v1.0 release. The v1.0 release will include much greater functionality and stability, but does contain some incompatible changes with previous releases.

Highlights Include:

• Various bug fixes

The latest DLPy release can be installed using the following pip command:

pip install sas-dlpy

DLPy v0.6.3

DLPy is a high-level package for the Python APIs created for the SAS Viya 3.3 (and newer) Deep Learning and Image action sets. It provides a convenient way to perform deep learning image processing in the SAS CAS environment.

Highlights Include:

• Fix data files in PyPI installer

The latest DLPy release can be installed using the following pip command:

pip install sas-dlpy