• Add LGBMRanker support
  initial PR 754,
  finalized in PR 755
• Add partial support for custom objective
  #753
• Improve xgboost categorical feature support
  #743

What's Changed

• Add support to convert xgboost models with categorical features by @lukaswenzl in #734
• fix issues with black by @xadupre in #738
• Support xgboost 3, including for multiclass problems by @AsherWright in #736
• fixes style issues by @xadupre in #739
• Bump github/codeql-action from 2 to 4 by @dependabot[bot] in #748
• Bump actions/cache from 4 to 5 by @dependabot[bot] in #746
• Bump actions/checkout from 2 to 6 by @dependabot[bot] in #747
• add worklow dispatch; Update ci.yml by @andife in #749
• Bump actions/upload-artifact from 4 to 6 by @dependabot[bot] in #744
• Bump actions/setup-python from 4 to 6 by @dependabot[bot] in #745
• migrate to pyproject.toml; fix dependency failures by @andife in #750
• Add support for gamma and tweedie distributions for xgboost by @lukaswenzl in #742
• Update version in init.py by @andife in #751

New Contributors

• @lukaswenzl made their first contribution in #734
• @AsherWright made their first contribution in #736
• @andife made their first contribution in #749

Full Changelog: 1.14.0...v1.15.0

What's Changed

• Add support to convert xgboost models with categorical features by @lukaswenzl in #734
• fix issues with black by @xadupre in #738
• Support xgboost 3, including for multiclass problems by @AsherWright in #736
• fixes style issues by @xadupre in #739
• Bump github/codeql-action from 2 to 4 by @dependabot[bot] in #748
• Bump actions/cache from 4 to 5 by @dependabot[bot] in #746
• Bump actions/checkout from 2 to 6 by @dependabot[bot] in #747
• add worklow dispatch; Update ci.yml by @andife in #749
• Bump actions/upload-artifact from 4 to 6 by @dependabot[bot] in #744
• Bump actions/setup-python from 4 to 6 by @dependabot[bot] in #745
• migrate to pyproject.toml; fix dependency failures by @andife in #750

New Contributors

• @lukaswenzl made their first contribution in #734
• @AsherWright made their first contribution in #736
• @andife made their first contribution in #749

Full Changelog: 1.14.0...v1.15.0rc1

• Add tweedie objective to LightGBM options
  #722
• Support for "huber" objective in the LGBM Booster
  #705
• Remove import of split_complex_to_pairs and unused functions
  #714
• Removes dependency on onnxconveter-common
  #718

• Add missing dependency onnxconverter_common, fix multi regression with xgboost #679
• Handle issue with binary classifier setting output to [N,1] vs [N,2] #681
• Fix pkg name of onnxconverter_common #683
• Update tree_ensemble_common.py #691

• Fix early stopping for XGBClassifier and xgboost > 2, #597
• Fix discrepancies with XGBRegressor and xgboost > 2, #670
• Support count:poisson for XGBRegressor, #666
• Supports XGBRFClassifier and XGBRFRegressor, #665
• ONNX_DFS_PATH to be set in the spark config, #653 (by @Ironwood-Cyber)
• Sparkml converter: support type StringType and StringType(), #639
• Add check for base_score in _get_attributes function #637, #626 (by @tolleybot)
• Support for lightgbm >= 4.0, #634

• #608 fix: Spark Imputer conversion with multiple input cols
• #607 fix: getTensorTypeFromSpark fails for Spark 3.3.0+
• #606 Add onnxruntime==1.14.0 to CI
• #605 Replace real images by dummy ones
• #602 Update CI with latext onnxruntime, xgboost
• #606 convert_lightgbm: Add shape to FloatTensor probabilities

• feat: add support for SparkML CountVectorizer conversion #560
• docs: update sparkml doc; cleanups. #559
• fix: 'SparkSession' object has no attribute 'util' #557
• feat: add support for SparkML KMeansModel conversion #556
• fix: SparkML StandardScaler conversion fails when withStd or withMean is set to true #555
• fix: Converter for SparkML VectorAssembler does not support vector inputs correctly #554
• fix: ONNX conversion for Spark OneHotEncoder model #552

• Fix conversion of XGBoost model after being restored #520
• Fix test case condition for onnx=1.11.0 #527
• Update CI for ORT 1.11.0 #539
• Adjust author and email #539

• Replace #507 + fix bug with XGBoost converter when base_score is None #510
• Use assertRegex instead of assertRegexpMatches for Python 3.11 compatibility. #508
• Support for opset 15 and update version to 1.10.0 #505
• add support for quantile objective for LGBM models #503
• Support parameter shape_override and other options for convert_tensorflow #497
• Implement option split to reduce discrepancies for lightgbm regressors #496