Turi Create 5.0

Installation

To install Turi Create 5.0 into your virtual environment, use:

(venv) pip install turicreate==5.0

Major Updates

• GPU Acceleration on Macs
• New Task: Style Transfer
• Recommender model deployment
• Vision Feature Print model deployment

Turi Create 5.0 beta 3

5.0b3

Bump version to 5.0b3

Turi Create 5.0 beta 1

Installation

To install the 5.0 beta into your virtual environment, use:

(venv) pip install turicreate==5.0b1  

Major Updates

• GPU Acceleration on Macs
• New Task: Style Transfer
• Recommender model deployment
• Vision Feature Print model deployment

Turi Create 4.3.2

Fixes

• Fixed critical bug where visualization files were excluded from wheel artifacts, breaking .show and .explore ( #539 )

Turi Create 4.3.1

Fixes

• Fixed critical bug in logistic/linear regression with validation tracking ( #532 )

Turi Create 4.3

Major Updates

• Plot API with save and ability to select plot type
• Support for list, dict, array, ndarray in .explore()

Enhancements

• Ability to view truncated values in .explore()

Fixes

• Fix slicing issue for NDArray inside SArray (Python 3) (#385)
• Make docstring consistent with current behavior (#374)
• Avoiding default atof behavior for integers and floats (#373)
• Fix image classifier unit tests (#371)
• Consistent color for draw_bounding_boxes (#369)
• Fix user facing deprecation warning for panda's to_datetime usage (#368)
• Added Top Level load_sarray (#516)
• user guide should use print as a function (#432)
• Better error message for bad astype(...). (#430)
• Remove (unused, non-functional, non-public) viz for recsys models (#428)
• Better error message for unwritable temp location (#427)
• Fix macOS platform tag to reflect true support (#426)
• Update get/set runtime config docs and errors (#423)
• Remove unnecessary Python linking (#421)
• Remove references to lfs (#420)
• Update supported and recommended MXNet versions (#418)
• Fix single-image classifier inference on multi-gpu (#417)
• Fix broken unit test for image bit depth (#416)
• Add data preparation step to object detection user guide (#414)
• Gitignore cleanup (#408)
• updated sys.platform for python3 (#404)
• Fix offset/length bug in NDArray-to-SArray (#395)
• Support PNG images with non-8-bit depth (#393)
• Do not use PIL for decoding images for pixel_data (#390)
• Added support for file:// as valid url protocol. (#387)
• Avoid ndarray to fix fatal error in activity classifier (#386)

Turi Create 4.2

Major Updates

• Visualization support on Linux (#1)
• NDArray support in SFrames
• Embedded visualizations in Jupyter/iPython notebooks (#330)

Enhancements

• Single dictionary support for object detection (#293 )
• Image Classifier & Image Similarity: take as input single image or SArray of images (#280)
• Add validation-set statistics to resulting model for linear/logistic regression (#274)

Fixes

• load_images should have a way to order the images alphabetically by path (#125)
• Adds verbose flag to ImageClassifier.evaluate (#281)
• csv header parsing problem with BOM UTF8 (#227)
• Support palette (type P) PNG image files (#278)
• Allow CUDA GPU to be used if available (#227)
• Handle RGBA (4 channels) and L (1 channel) images in detector (#275)

Turi Create 4.1.1

Fixes

• import turicreate fails on macOS 10.12.6 (#256)
• Miscellaneous documentation consistency fixes

Turi Create 4.1

Major Updates

• Support for Python 3.5 and 3.6 (#2)
• Added Core ML support for sentence classifier (#99)
• Added Core ML support for image similarity (#242)
• Added more datasets to documentation (#251)

Enhancements

• Implemented SArray.stack (#165)
• Implemented SArray.value_counts() (#172)
• Added methods to flexible_type (reinterpret_get, reinterpret_mutable_get) to make unsafe use explicit (#197)
• Published C++ Documentation at https://apple.github.io/turicreate/docs/cpp/

Fixes

• Visualization issues and improvements (#159, #166, #163)
• Core ML errors for some models trained on dict features (#98, #174)
• Topic Model perplexity computation may give different results (#243)
• String target for sentence classifier would perform feature extraction on the target (#234)
• Core ML version export type mismatch (#232)
• Sentence classifier ignored validation_set=None (#208)
• S3 Certificate Issues on Linux (#196, #57, #128)
• JSON export of array dtype (#181)
• Unable to create SFrame with non-ascii column name in Python 2 (#157)
• SArray.apply fails with UnpicklingError (#124)
• pyodbc type mismatch (#93)

Turi Create 4.0

Turi Create 4.0: the initial open source release!

Turi Create simplifies the development of custom machine learning models. You
don't have to be a machine learning expert to add recommendations, object
detection, image classification, image similarity or activity classification to
your app.

• Easy-to-use: Focus on tasks instead of algorithms
• Visual: Built-in, streaming visualizations to explore your data
• Flexible: Supports text, images, audio, video and sensor data
• Fast and Scalable: Work with large datasets on a single machine
• Ready To Deploy: Export models to Core ML for use in iOS, macOS, watchOS, and tvOS apps