What's included

WML Accelerator includes these components and frameworks.

Components
Deep learning frameworks
Technology preview packages

Components

The following components are included with WML Accelerator:

IBM Spectrum Conductor™ Deep Learning Impact version 1.2.3
For information about this component, see these topics: Working with IBM Spectrum Conductor Deep Learning Impact.
IBM Spectrum Conductor version 2.3.0:
WML CE version 1.6.1
- IBM Watson® Machine Learning Community Edition Knowledge Center
- Getting started with frameworks

Deep learning frameworks

The following frameworks are included with WML Accelerator for use with IBM Spectrum Conductor Deep Learning Impact. Some frameworks are available via the user interface. Others can only be used through the command line interface. For details, see Using frameworks via command line interface

Table 1. Included frameworks
Framework	Version	Python 2.7 support	Python3.6 support	Supported via user interface	Supported via command line	Training options
TensorFlow	1.14	Yes	Yes	X	X	Single node training Distributed training
Keras	2.2.4	Yes¹	Yes¹		X	Single node training Distributed training Elastic distributed training
IBM Caffe	1.0	Yes	No	X	X	Single node training
PyTorch	1.1.0	Yes	Yes	X	X	Single node training Elastic distributed training
snap.ml	1.3.0	Yes¹	Yes		X
1: Support depends on what the user sets up. See Using frameworks via command line interface for details.

Technology preview packages

The Program includes the following technology preview packages:

TFLMSv1
SnapML: snap-ml-spark library
pai4sk: Decision Tree and Random Forest algorithms from SnapML
RAPIDS.AI: cuML and cuDF

Before using technology preview packages, read the information in Technology Preview Code.