tensorframes

• Support Spark 2.4.0 and TensorFlow 1.12.0.
• Simplify docker/travis setup.

• Support Spark 2.3.1 and Tensorflow 1.10.0

• Manually append meta data via appendShape()
• Skip operations that have no input and no output

This is the final release for 0.2.9.

Notable changes since 0.2.8:

• Upgrades tensorflow dependency from version 1.1.0 to 1.3.0
• map_blocks, map_row APIs now accept Pandas DataFrames as input
• Adds support for tensorflow variables. Note that these variables cannot be shared between the worker nodes.

This is the final release for 0.2.8.

Notable changes since 0.2.5:

• uses the official java API for tensorflow
• support for image ingest (see inception example)
• support for multiple hardware platforms (CPU, GPU) and operating systems (linux, macos). Windows should also work but it has not been tested.
• support for Spark 2.1.x and Spark 2.2.x
• some usability and performance fixes,...