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@jakesabathia2 jakesabathia2 released this 18 Dec 08:59
6.0
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Release Notes

New Features

  • Swapped out using TensorFlow for MXNet for Deep Learning toolkits.
  • Added support for Python 3.7 on Linux.

Feature Enhancements

  • Added support for coremltools 3.1. (#2774)
  • Added user-defined metadata in Core ML model. (#2562)
  • Added guide of how to use confidence thresholds with the Vision framework. (#2615)
  • Enabled activity classifier to run on Metal Performance Shaders for GPU based training. (#919)
  • Added SFrame plus operator. (#2569)
  • Supported image visualization on Google Colab Jupyter Notebook. (#1269, #2483)
  • Ignore type when appending empty SArray. (#2390)
  • Supported SArray’s filter_by function with dictionary values and keys. (#2221)
  • Improved error message in apply method when most values are None. (#2066)
  • Changed Sketch.num_na() to Sketch.num_missing(). (#1759)
  • Updated SFrame.read_csv()'s API documentation. (#1367)
  • Enabled export for an empty SFrame. (#804)

Bug Fixes

  • Suppressed warnings to users while calling non-deprecated API. (#2529)
  • Removed unused state variables from the object detector model. (#2506)
  • Fixed conflicting Numpy dependencies (#2249)
  • Handled invalid path for loading audio files. (#2686)
  • Updated user guide to incorporate the new AC export_coreml format. (#2676)
  • Fixed segfault for text classifier with data with undefined values. (#2402)
  • Fix Image Classifier and Drawing Classifier annotation bugs on Linux. (#2401)
  • Reduced CPU architecture requirement to core2. (#2266)
  • Output of drawing classifier evaluation object now does not contain additional keys. (#1974)
  • Image classifier annotation function throws error with empty SFrame. (#1915)
  • Preserved nan values when converting from float SArray into int SArray. (#1761)
  • Fixed functionality for predict_id in Activity Classifier’s predict function. (#1706)
  • Fixed bug for dictionary input to text_analytics’ count_words function. (#954)
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