Release Notes

New Features

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)

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)