v0.9.0

What’s Changed

🐜 Bug Fixes

• Quick fix to parse post in transformer when a string is passed in @marcromeyn (#832)
• Trying to add Bokeh to dev-requirements to fix failing xgb-tests @marcromeyn (#839)
• Ensure metrics passed to model.compile() are always reset @sararb (#830)
• Fix EmbeddingFeatures serialization/deserialization when a feature is named 'name' @oliverholworthy (#817)
• Add support for LogitsTemperatureScaler in the new ModelOutput API @sararb (#815)
• Add LogQ correction support to the new ModelOutput API @sararb (#811)

🚀 Features

• Removing mask from PredictionContext, since it's unused @marcromeyn (#838)
• Add seed to TopKMetric for consistent metrics when ties in ranking @oliverholworthy (#827)
• Adding SequenceSummary transforms for transformers @marcromeyn (#828)
• [Test] - fix pretrained embedding unittest @bschifferer (#826)
• Making sure InputBlockV2 works without the precense of categorical-features @marcromeyn (#821)
• fix OOM issue in accelerate-training-of-large-embedding-tables-by-LazyAdam nb unit test @rnyak (#816)
• Add L2-batch regularization to EmbeddingTable @sararb (#812)

🔧 Maintenance

• fix OOM issue in accelerate-training-of-large-embedding-tables-by-LazyAdam nb unit test @rnyak (#816)
• update temp data paths in example notebooks @nv-alaiacano (#813)
• Use pytest-xdist with tensorflow tests to reduce running time of tests @oliverholworthy (#795)
• Add python_requires specifying 3.8 as minimum Python version @oliverholworthy (#797)