History¶
current - 2020-12-11 - 0.00Mb¶
issue196: Fixes operator Slice for opset 9 (2020-12-11)
issue197: Add a function to plot an onnx graph into matplotlib (2020-12-09)
issue198: Fixes #197, add function to plot onnx graph with matplotlib (2020-12-09)
issue194: Add a function to insert a cast operator between two nodes (2020-12-08)
issue195: Fixes #194, add function to add an operator in the graph (2020-12-08)
issue193: Improves notebook coverage, update CI (2020-11-29)
issue191: Improves performance of TreeEnsemble (2020-11-28)
issue192: Fixes #191, improves performance of TreeEnsemble (2020-11-28)
issue189: Introduce parallelization in experimental einsum implementation (2020-11-17)
issue190: Fixes #189, parallelization of Einsum (2020-11-17)
issue187: Custom implementation for operator Einsum (2020-11-15)
issue188: Fixes #187, custom implementation for operator Einsum (2020-11-15)
issue185: Add operator LessOrEqual (2020-11-15)
issue186: Fixes #185, add operator LessOrEqual (2020-11-15)
issue181: Fix converter xgboost when ntree_limit is set up (2020-11-14)
issue178: Fixes unit test testing OnnxConv (issue with shapes) (2020-11-07)
issue182: Fixes #178, fix xgboost issue with ntree_limit (2020-11-07)
issue183: Fix error in OnnxPipeline, parameter black_op not found (2020-11-07)
issue184: Fixes #183, fix missing parameter black_op in OnnxPipeline (2020-11-07)
issue179: guess_schema_data_type fails with category in dataframe (2020-11-03)
issue180: Fixes #179, fix guess_schema_from_data for categories (2020-11-03)
issue175: Add operator Dropout (2020-09-29)
issue176: Fixes #175, add operator dropout (2020-09-29)
issue174: Add support for ReduceSum >= 13 (2020-09-21)
issue172: Add runtime for operator MaxPool (2020-09-16)
issue173: Fixes #172, add runtime for operator MaxPool (2020-09-16)
issue170: Add runtime for operator Pad (2020-09-10)
issue171: Fixes #170, add operator Pad (2020-09-10)
0.4.1259 - 2020-09-03 - 1.32Mb¶
issue169: fix compiling issue with ubuntu 16.04 (2020-09-03)
issue167: Add runtime for Operator Or (2020-08-25)
issue166: Add runtime for operator And (2020-08-25)
issue165: Add runtime for operator GreaterOrEqual (2020-08-25)
issue164: Add runtime for operator If (2020-08-25)
issue163: Add runtime for operator Unsqueeze (2020-08-25)
issue162: Add runtime for operator Split (2020-08-25)
issue161: Add support for disable_optimisation (2020-08-12)
issue160: Fixes #159, add operator ConvTranspose, refactoring. (2020-08-07)
issue159: Implements runtime for ConvTranspose (2020-08-07)
issue158: Fixes benchmark import issues (2020-08-03)
issue157: Simplify scenarios, reduce time for benchmark. (2020-08-02)
issue156: Fixes #155, improves documentation (2020-08-02)
issue155: Fixes API on documentation (2020-08-02)
issue154: Fixes y_train dtype for most of the problems. Fixes subproblems with GridSearchCV (2020-07-31)
issue153: Fixes #152, set set n_jobs to the number of CPU (2020-07-31)
issue152: Set n_jobs to the number of core - 1 when doing benchmark (2020-07-31)
issue151: Force operator Conv to use continuous array (2020-07-30)
issue150: Fixes nan issue in operator conv (2020-07-29)
issue147: Fixes #145, #150, shape inference for operator Conv (2020-07-29)
issue145: Fixes missing shape inference for operator conv (2020-07-29)
issue149: Fixes #148, add operator Atan (2020-07-22)
issue148: Add operator atan (2020-07-22)
issue146: Fixes #144, add operator GlobalAveragePool (2020-07-21)
issue144: Implements operator GlobalAveragePool (2020-07-21)
issue143: Fixes #142, add operator BatchNormalization (2020-07-21)
issue142: Implement python runtime for operator BatchNormalization (2020-07-21)
issue141: Fixes #140, add runtime for QuantizeLinear, DequantizeLinear (2020-07-20)
issue140: Implement runtime for QuantizeLinear, DequantizeLinear (2020-07-20)
0.4.1204 - 2020-07-09 - 0.31Mb¶
issue139: Add runtime for operator EyeLike (2020-07-08)
issue138: Add code to register custom python operator (2020-07-08)
issue137: Remove parameter dtype (onnx conversion) (2020-07-08)
issue136: Add parameter reshape to OnnxTransformer (2020-07-03)
issue135: Add a function to change the first dimension output (ONNX). (2020-07-03)
issue133: Implements runtime for operator Gather (ONNX) (2020-06-18)
issue132: Add operator StringNormalizer, Tokenizer, TfidfVectorizer (ONNX) (2020-06-15)
issue131: Add custom operator solve (2020-06-12)
issue130: Add operator Erf (ONNX) (2020-06-11)
issue129: Add operator Einsum (ONNX) (2020-06-11)
issue128: Fixes #127, implements OnnxPipeline, train, convert at each step (2020-06-08)
issue127: Implements a pipeline which replaces early stages by onnx (2020-06-08)
0.3.1129 - 2020-06-04 - 0.29Mb¶
0.3.1108 - 2020-05-20 - 0.29Mb¶
issue126: Fix xgboost converter for xgboost >= 1.0 (2020-05-18)
issue125: Refactor rewritten sklearn operators (2020-05-18)
issue124: Fixes #122, capture standard C ouptput with dump_data_model, first step for #123 (2020-05-16)
issue122: Captures C output when calling dump_data_and_model (2020-05-16)
0.3.1082 - 2020-05-01 - 2.84Mb¶
0.3.1070 - 2020-04-07 - 0.29Mb¶
issue115: Add a function to replay a benchmark when this one was dumped (more accurate) (2020-04-06)
issue116: Makes ZipMapDictionary picklable (2020-03-30)
issue114: Add more parameters to specify benchmark time (2020-03-30)
issue113: Add operators for opset 12 (2020-03-26)
issue112: Number of feature is wrong for problem num-tr-clus (2020-03-20)
0.3.1029 - 2020-03-17 - 0.28Mb¶
issue111: Reduce the number of allocation in TreeEnsemble when it is parallelized (cache) (2020-03-13)
issue110: Implements runtime for operator Constant-12 (2020-03-06)
issue109: Generate a benchmark with asv to compare different runtime. Update modules in asv. (2020-03-06)
issue108: Add a function to reduce the memory footprint (2020-02-25)
issue106: Add operator Neg (2020-02-25)
issue101: Fix DecisionTreeClassifier disappearance on the benchmark graph (2020-02-25)
issue107: Add operator IsNaN (2020-02-24)
issue105: Support string labels for Linear, TreeEnsemble, SVM classifiers. (2020-02-24)
issue104: Enable / disable parallelisation in topk (2020-02-23)
issue103: Implements plot benchmark ratio depending on two parameters (2020-02-22)
issue102: Fix conversion for xgboost 1.0 (2020-02-21)
0.3.975 - 2020-02-19 - 0.28Mb¶
issue100: add notebook on TreeEnsemble (2020-02-19)
issue99: Fixes #93, use same code for TreeEnsembleClassifier and TreeEnsembleRegression (2020-02-19)
issue93: Use pointer for TreeClassifier (2020-02-19)
issue98: mlprodict i broken after onnxruntime, skl2onnx update (2020-02-15)
issue97: Add runtime for operator Conv (2020-01-24)
issue96: Fixes #97, add runtime for operator Conv (2020-01-24)
issue95: Fix OnnxInference where an output and an operator share the same name (2020-01-15)
issue94: Raw scores are always positive for TreeEnsembleClassifier (binary) (2020-01-13)
issue90: Implements a C++ runtime for topk (2019-12-17)
issue86: Use pointers to replace treeindex in tree ensemble cpp runtime (2019-12-17)
issue92: Implements a C++ version of ArrayFeatureExtractor (2019-12-14)
issue89: Implements a function which extracts some informations on the models (2019-12-14)
issue88: Fix bug in runtime of GatherElements (2019-12-14)
0.3.853 - 2019-12-13 - 0.24Mb¶
issue87: Add converter for HistGradientBoostRegressor (2019-12-09)
issue85: Implements a precompiled run method in OnnxInference (runtime=’python_compiled’) (2019-12-07)
issue84: Automatically creates files to profile time_predict function in the benchmark with py-spy (2019-12-04)
issue83: ONNX: includes experimental operators in the benchmark (2019-12-04)
issue82: Function translate_fct2onnx: use of opset_version (2019-12-04)
issue81: ONNX benchmark: track_score returns scores equal to 0 or 1 (unexpected) (2019-12-04)
issue80: ONNX: extend benchmark to decision_function for some models (2019-12-03)
issue77: Improves ONNX benchmark to measure zipmap impact. (2019-12-03)
issue76: Implements ArgMax 12, ArgMax 12 (python onnx runtime) (2019-11-27)
issue75: ONNX: fix random_state whevever it is available when running benchmark (2019-11-27)
0.3.765 - 2019-11-21 - 0.22Mb¶
issue59: ONNX: Investigate kmeans and opset availability. (2019-11-21)
issue66: ONNX: improves speed of python runtime for decision trees (2019-11-19)
issue74: Function _modify_dimension should return the same dataset if called the same parameter (even if it uses random functions) (2019-11-15)
issue73: ONNX: fix links on benchmark page (opset is missing) (2019-11-07)
issue72: ONNX: support of sparse tensor for a unary and binary python operators (2019-11-06)
issue71: ONNX: add operator Constant (2019-11-06)
issue67: ONNX: improves speed of svm regressor (2019-11-06)
issue70: ONNX: write tools to test convervsion for models in scikit-learn examples (2019-10-29)
issue65: ONNX: investigate discrepencies for k-NN (2019-10-28)
issue69: ONNX: side by side should work by name and not by positions (2019-10-23)
issue68: ONNX: improves speed of SGDClassifier (2019-10-23)
issue61: Implements a function to create a benchmark based on asv (ONNX) (2019-10-17)
issue63: Export asv results to csv (ONNX) + command line (2019-10-11)
issue64: Add an example with lightgbm and categorical variables (ONNX) (2019-10-07)
issue62: Implements command line for the asv benchmark (ONNX) (2019-10-04)
issue60: Improve lightgbm converter (ONNX) (2019-09-30)
issue58: Fix table checking model, merge is wrong in documentation (2019-09-20)
0.2.542 - 2019-09-15 - 0.59Mb¶
issue57: ONNX: handles dataframe when converting a model (2019-09-15)
issue56: ONNX: implements cdist operator (2019-09-12)
issue54: ONNX: fix summary, it produces multiple row when model are different when opset is different (2019-09-12)
issue51: ONNX: measure the time performance obtained by using optimization (2019-09-11)
issue52: ONNC-cli: add a command line to optimize an onnx model (2019-09-10)
issue49: ONNX optimization: remove redundant subparts of a graph (2019-09-09)
issue48: ONNX optimization: reduce the number of Identity nodes (2019-09-09)
issue47: Implements statistics on onnx graph and sklearn models, add them to the documentation (2019-09-06)
issue46: Implements KNearestNeibhorsRegressor supporting batch mode (ONNX) (2019-08-31)
issue45: KNearestNeighborsRegressor (2019-08-30)
issue44: Add an example to look into the performance of every node for a particular dataset (2019-08-30)
issue43: LGBMClassifier has wrong shape (2019-08-29)
0.2.452 - 2019-08-28 - 0.13Mb¶
issue42: Adds a graph which visually summarize the validating benchmark (ONNX). (2019-08-27)
issue41: Enables to test multiple number of features at the same time (ONNX) (2019-08-27)
issue40: Add a parameter to change the number of featuress when validating a model (ONNX). (2019-08-26)
issue39: Add a parameter to dump all models even if they don’t produce errors when being validated (ONNX) (2019-08-26)
issue24: support double for TreeEnsembleClassifier (python runtime ONNX) (2019-08-23)
issue38: See issue on onnxmltools. https://github.com/onnx/onnxmltools/issues/321 (2019-08-19)
issue35: Supports parameter time_kwargs in the command line (ONNX) (2019-08-09)
issue34: Add intervals when measuring time ratios between scikit-learn and onnx (ONNX) (2019-08-09)
issue31: Implements shape inference for the python runtime (ONNX) (2019-08-06)
issue15: Tells operator if the execution can be done inplace for unary operators (ONNX). (2019-08-06)
issue27: Bug fix (2019-08-02)
issue23: support double for TreeEnsembleRegressor (python runtime ONNX) (2019-08-02)
0.2.363 - 2019-08-01 - 0.11Mb¶
issue26: Tests all converters in separate processeses to make it easier to catch crashes (2019-08-01)
issue25: Ensures operator clip returns an array of the same type (ONNX Python Runtime) (2019-07-30)
issue22: Implements a function to shake an ONNX model and test float32 conversion (2019-07-28)
issue21: Add customized converters (2019-07-28)
issue20: Enables support for TreeEnsemble operators in python runtime (ONNX). (2019-07-28)
issue19: Enables support for SVM operators in python runtime (ONNX). (2019-07-28)
issue16: fix documentation, visual graph are not being rendered in notebooks (2019-07-23)
issue18: implements python runtime for SVM (2019-07-20)
0.2.272 - 2019-07-15 - 0.09Mb¶
issue17: add a mechanism to use ONNX with double computation (2019-07-15)
issue13: add automated benchmark of every scikit-learn operator in the documentation (2019-07-05)
issue12: implements a way to measure time for each node of the ONNX graph (2019-07-05)
issue11: implements a better ZipMap node based on dedicated container (2019-07-05)
issue8: implements runtime for decision tree (2019-07-05)
issue7: implement python runtime for scaler, pca, knn, kmeans (2019-07-05)
issue10: implements full runtime with onnxruntime not node by node (2019-06-16)
issue9: implements a onnxruntime runtime (2019-06-16)
issue6: first draft of a python runtime for onnx (2019-06-15)
issue5: change style highlight-ipython3 (2018-01-05)