onnx/onnxmltools

Issues

• ModuleNotFoundError: No module named 'pkg_resources' for Python 3.12+

  #698 opened 3 months ago by kevalmorabia97
  1

• GBTRegressor to ONNX output looks like Classifier

  #703 opened 9 days ago by MelihAkdag
  0

• [xgboost] Using `onnx==1.14.0` & `onnxruntime==1.15.1` with `target_opset=15` raises NOT_IMPLEMENTED

  #701 opened a month ago by pvardanis
  1

• Integrate with ONNX 1.17.0 release branch

  #700 opened 2 months ago by roborags
  0

• Converting LightGBM Regressor to ONNX seems impossible with mixed float and string initital_types.

  #696 opened 4 months ago by flaussy
  1

• Adding support for SHAP explainability to tree model types

  #695 opened 5 months ago by kikisq7
  3

• Updating `DEFAULT_OP_BLOCK_LIST` to different ONNX opsets

  #699 opened 3 months ago by gedoensmax
  0

• ONNXRuntime failure on models post FP16 conversion through onnxmltools

  #617 opened 2 years ago by ramkrishna2910
  3

• Spark XGB converter accesses missing param improperly

  #697 opened 4 months ago by addisonklinke
  4

• onnx converted : xgboostRegressor multioutput model predicts 1 dimension instead of original 210 dimensions.

  #676 opened 9 months ago by devspatron
  4

• Python 3.9 CoreML conversion

  #687 opened 4 months ago by b005t3r
  6

• Fail to import BlobReader from libmilstoragepython. No module named 'coremltools.libmilstoragepython'

  #693 opened 5 months ago by longge-vision
  1

• RandomForestClassifier: ONNX output converts all BRANCH_LEQ to BRANCH_EQ

  #688 opened 5 months ago by tiago-rib-goncalves
  1

• Standard

  #690 opened 7 months ago by ohhmm
  1

• How to solve Feature name error while converting an XGBClassifier model to ONNX?

  #624 opened a year ago by AnouarITI
  4

• Please help validate release candidate for ONNX 1.16.0rc2

  #686 opened 7 months ago by liqunfu
  1

• `XGBRFClassifier` & `XGBRFRegressor` are not supported

  #663 opened 10 months ago by pvardanis
  22

• Integrate with ONNX 1.16.0 release branch

  #685 opened 8 months ago by cjvolzka
  1

• No module named 'onnxconverter_common'

  #673 opened 8 months ago by xkszltl
  2

• UNABLE_TO_INFER_SCHEMA on pyspark

  #677 opened 9 months ago by cometta
  0

• XGBRegressor conversion to onnx gives wrong predictions for xgboost 2.0

  #672 opened 10 months ago by veselina-marinova-cresset
  0

• XGBClassifier conversion to onnx gives wrong predictions if dataset has only 2 categories (xgboost 2.0)

  #671 opened 10 months ago by veselina-marinova-cresset
  0

• What version of TensorFlow is supported by onnxmltools？

  #661 opened 10 months ago by softandhard
  1

• XGBRegressor with objective='count:poisson' causes serialization to fail with no error message

  #658 opened a year ago by ParanoidAltoid
  1

• XGBoost best_ntree_limit is removed in 2.0 and trying to access this value

  #668 opened 10 months ago by hellojunha
  1

• cannot import name 'FEATURE_IMPORTANCE_TYPE_MAPPER' from 'lightgbm.basic'

  #654 opened a year ago by nitish20899
  5

• Kernel crashing while executing convert_catboost

  #620 opened a year ago by hanzigs
  12

• Mismatch between XGBoost and converted onnx, with respect to "colsample_bytree"

  #667 opened a year ago by chunhaoIcici
  0

• XGBoost 2.0.0 breaking changes

  #651 opened a year ago by ksaur
  3

• `TreeEnsembleRegressor` introduces an additional batch dimension

  #664 opened a year ago by pvardanis
  2

• Please help validate release candidate for ONNX 1.15.0rc1

  #659 opened a year ago by liqunfu
  1

• XGBRanker ONNX Conversion

  #623 opened a year ago by hasush
  1

• errror:'Booster' object has no attribute 'attr'

  #645 opened a year ago by shushan2017
  5

• SparkML GBTClassifier fails to convert to ONNX

  #648 opened a year ago by yungcero
  4

• Inference performance issues with Lightgbm when using categoricals

  #647 opened a year ago by ozancicek
  1

• Trying to export MultiOutputRegressor(LGBMRegressor()) to onnx

  #649 opened a year ago by jaegerjj
  0

• Please verify 1.14.1 ONNX release candidate on TestPyPI

  #643 opened a year ago by yuanyao-nv
  2

• Convert_xgboost for XGBRegressor with objective="reg:logistic" gives wrong results

  #646 opened a year ago by laurentbeaughon
  0

• XgBoost Regressor Conversion

  #642 opened a year ago by rahul3161
  0

• Unable to convert large model from Keras

  #640 opened a year ago by emerzon
  0

• AttributeError: 'Booster' object has no attribute 'attr'

  #636 opened a year ago by rvoak
  2

• LightGBM Version 4.0.0 changes

  #632 opened a year ago by ksaur
  2

• Please verify 1.14.0 ONNX release candidate on TestPyPI

  #619 opened a year ago by yuanyao-nv
  3

• Feature Request: XGBoost: XGBClassifier with gblinear booster converts to onnx

  #628 opened a year ago by ahallermed
  0

• convert XGBRegressor( booster='gblinear', objective='reg:squarederror') to ONNX returns error

  #633 opened a year ago by devspatron
  0

• Add source distribution to PyPI releases

  #625 opened a year ago by janjagusch
  5

• lgbm booster regressor ONNX transform issue

  #627 opened a year ago by Jeremylee1234
  0

• Please validate onnx converter with onnx 1.14.0rc3

  #622 opened 2 years ago by liqunfu
  2

• KeyError: 'pyspark.ml.regression.IsotonicRegressionModel' when trying to convert Pyspark model to ONNX format

  #618 opened 2 years ago by shyy5358
  1

• sparkml utils.py getTensorTypeFromSpark for batch inputs; buildInputDictSimple excludes StringType()

  #615 opened 2 years ago by mattoh91
  1