New Features
-
Deep Neural Networks Training (0.16.0-preview2)
Improves the in-preview
ImageClassification
API further:- Early stopping feature stops the training when optimal accuracy is reached (#4237)
- Enables inferencing on in-memory images (#4242)
PredictedLabel
output column now contains actual class labels instead ofuint32
class index values (#4228)- GPU support on Windows and Linux (#4270, #4277)
- Upgraded TensorFlow .NET version to 0.11.3 (#4205)
In-memory image inferencing sample
Early stopping sample
GPU samples -
New ONNX Exporters (1.4.0-preview2)
Bug Fixes
- OnnxSequenceType and ColumnName attributes together doesn't work (#4187)
- Fix memory leak in TensorflowTransformer (#4223)
- Enable permutation feature importance to be used with model loaded from disk (#4262)
IsSavedModel
returns true when loaded TensorFlow model is a frozen model (#4262)- Exception when using
OnnxSequenceType
attribute directly without specify sequence type (#4272, #4297)
Samples
- TensorFlow full model retrain sample (#4127)
Breaking Changes
None.
Obsolete API
Enhancements
- Improve exception message in LightGBM (#4214)
- FeaturizeText should allow only outputColumnName to be defined (#4211)
- Fix NgramExtractingTransformer GetSlotNames to not allocate a new delegate on every invoke (#4247)
- Resurrect broken code coverage build and re-enable code coverage for pull request (#4261)
- NimbusML entrypoint for permutation feature importance (#4232)
- Reuse memory when copying outputs from TensorFlow graph (#4260)
- DateTime to DateTime standard conversion (#4273)
- CodeCov version upgraded to 1.7.2 (#4291)
CLI and AutoML API
None.
Remarks
None.