ONNXMLTools enables conversion of models to ONNX
APACHE-2.0 License
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Published by xiaowuhu over 1 year ago
Published by xiaowuhu over 2 years ago
Published by xiaowuhu over 2 years ago
Published by xadupre almost 3 years ago
Published by xadupre about 3 years ago
Published by xadupre about 3 years ago
LightGBM
XGBoost
Keras
Published by xadupre over 3 years ago
New features
XGBoost
CoreML
The major update for this release
Details:
Add the flake8 to be the default code formatter (#401)
Fixes #396, xgboost converter for xgboost >= 1.0.2 (#397)
Support onnx 1.7 in CI build (#398)
fixed the xgboost version (#395)
fix ceiling-mode defaults for pool operators (AvgPool, MaxPool) (#388)
Update documentation, add examples (#385)
Remove support of python 2.7 (#383)
upgrade to 1.7 (#384)
Fix for onnx 1.7 release (#381)
Ping h2o version==3.28.0.3 (#377)
Fix xgboost converter (#373)
xgboost not supporting 1.0 version. (#372)
Known issues:
onnxmltools tf2onnx wrapper can only work with tf2onnx <= 1.5.6.
Published by wenbingl over 4 years ago
The major updates of this release.
Published by jiafatom almost 5 years ago
Support opset 11
Published by jiafatom about 5 years ago
Major updates:
Published by vinitra-zz over 5 years ago
onnxmltools version 1.5.0 is now available! This version features ONNX Opset 10 support and code coverage.
pip install onnxmltools --upgrade
python -c "import onnxmltools"
This package includes converters for LightGBM, CoreML, Spark ML, LibSVM, XGBoost, and wrappers for conversion from scikit-learn and Keras.
Published by wenbingl over 5 years ago
Published by wenbingl over 5 years ago
Published by wenbingl over 5 years ago
with some new converters, xgboost, libsvm, and pyspark.
refactor onnxmltools structure by splitting keras and sklearn converters out.
Published by wenbingl almost 6 years ago
Published by wenbingl almost 6 years ago
Published by wenbingl about 6 years ago
Published by wenbingl about 6 years ago