Turi Create simplifies the development of custom machine learning models.
.explore()
method for greater Jupyter Notebook compatibility (https://github.com/apple/turicreate/issues/929)CoreMLExportTest
on macOS 10.13 (https://github.com/apple/turicreate/issues/1332)max_iterations
value for Drawing Classifier toolkit (https://github.com/apple/turicreate/issues/2092)unpack
and dropna
lazily compute (https://github.com/apple/turicreate/issues/2170)max_iterations
in Style Transfer toolkit (https://github.com/apple/turicreate/issues/2013)Note: the API surface is not impacted by this release, so for documentation, please see release 5.5.
ninja
builds #1667
.annotate
method #1645
Int
labels when using model evaluation #1561
filter_by
to work with map
data type #1140
nvidia-smi
when no GPU is installed #1406make_wheel.sh
creates wheels that are not pip installable #927To install Turi Create 5.3.1 into your virtual environment, use:
(venv) pip install turicreate==5.3.1
Documentation and other downloads are not affected by this release; only .whl files have changed.
To install Turi Create 5.3 into your virtual environment, use:
(venv) pip install turicreate==5.3
recommender.util.precision_recall_by_user
(#1262)To install Turi Create 5.2.1 into your virtual environment, use:
(venv) pip install turicreate==5.2.1
Note: artifacts other than Python wheels are omitted from this release, since only the Python wheel content has changed. For all other artifacts, use release 5.2.
To install Turi Create 5.2 into your virtual environment, use:
(venv) pip install turicreate==5.2
SArray.filter_by
(#1061)To install Turi Create 5.1 into your virtual environment, use:
(venv) pip install turicreate==5.1
SFrame.save
(#802)SArray
initializer to convert an existing SArray
to a different type (#1070)SFrame.add_column
to accept iterables and to fill with a constant value (#1072)