.. _l-HISTORY:

=======
History
=======

current - 2022-11-22 - 0.00Mb
=============================

* :issue:`470`: Uses list(graph.node) when using id(node) (2022-11-22)
* :issue:`471`: Add one unit test to check optimisation is working (2022-11-21)

0.9.1883 - 2022-10-09 - 39.39Mb
==============================

* :issue:`469`: Implements a converter for a TransformedTargetRegressor (2022-10-09)
* :issue:`468`: Adds debug functionalities in TfidfVectorizer (2022-10-07)
* :issue:`467`: Fixes TfIdfVectorizer when input is 1D (2022-10-03)
* :issue:`466`: Look into sequencemap.py or sequence_map.py to fetch examples (2022-09-15)
* :issue:`464`: Implements OnnxLoop (2022-08-18)
* :issue:`465`: Supports for operator DFT, STFT, *windows (2022-08-13)
* :issue:`463`: Fixes embedded if with XOP API (2022-08-10)
* :issue:`462`: Increases code coverage, improves ligthgbm converter (2022-08-05)
* :issue:`461`: Upgrades default supported opset to 17 (2022-08-04)
* :issue:`460`: Improves C++ implementation, im2col, col2im (2022-08-04)
* :issue:`459`: Supports OnnxOperator(...) + int or float with CastLike (2022-08-02)
* :issue:`458`: Changes subgraph separator from :: to :/: in onnx_simple_text_plot (2022-08-01)
* :issue:`457`: Fix delimiter in extras_require (2022-07-25)

0.8.1863 - 2022-07-23 - 0.79Mb
==============================

* :issue:`456`: Fixes python runtime for TfIdfVectorizer (2022-07-22)
* :issue:`455`: Fixes division by zero in Normalizer (2022-07-21)

0.8.1858 - 2022-07-20 - 37.35Mb
==============================

* :issue:`454`: Fixes compilation issues on windows and python 3.10 (2022-07-20)
* :issue:`453`: Uses f strings (2022-07-19)
* :issue:`452`: Extends code coverage (2022-07-18)
* :issue:`451`: Adds a table for all versions and all operators (2022-07-13)
* :issue:`450`: Implements node Expression to compress graph (2022-07-12)
* :issue:`449`: Improves code coverage (2022-07-11)
* :issue:`448`: Fixes template to export an onnx graph to python (2022-07-06)
* :issue:`447`: Adds an example to check export issues (2022-07-05)
* :issue:`446`: Creates an exporter to python (2022-07-05)
* :issue:`445`: Removes ShapeObject, replaces by OnnxShapeInference (2022-07-02)
* :issue:`444`: Fixes a bug in to_onnx when as_function=True (2022-07-01)
* :issue:`443`: Add compiled dynamic libraries to .gitignore (2022-06-30)
* :issue:`442`: Converts onnx with functions to code based on XOP API (2022-06-30)
* :issue:`433`: Converts a sklearn model into multiple functions (2022-06-29)
* :issue:`441`: Renames check_model into check_onnx (2022-06-25)
* :issue:`440`: Update azure-pipelines.yml (2022-06-22)
* :issue:`439`: Drops support for python 3.6 (2022-06-22)
* :issue:`438`: Fixes xgboost converter when base_score is specified (2022-06-22)
* :issue:`437`: Renders vector attributes in onnx_simple_text_plot (2022-06-21)
* :issue:`436`: Supports for attributes in onnx functions (2022-06-21)
* :issue:`435`: Extends documentation to onnxruntime (2022-06-13)

0.8.1826 - 2022-05-29 - 28.43Mb
==============================

* :issue:`432`: None and [] should be different function get_tensor_shape (2022-05-25)
* :issue:`431`: Adds functions to change the shape of inputs and outputs (2022-05-25)
* :issue:`430`: Adds function to rename inputs or outputs (2022-05-23)
* :issue:`429`: Adds more functions to manipulate graphs (2022-05-20)
* :issue:`428`: Investigates SVC discrepancies (2022-05-20)
* :issue:`427`: Adds function to inline function on onnx graph (2022-05-12)
* :issue:`426`: Adds support for operator RoiAlign for python runtime (2022-04-25)
* :issue:`425`: Adds support for operator GridSample for python runtime (2022-04-22)
* :issue:`424`: Adds support for operator GRU in python runtime (2022-04-19)
* :issue:`423`: Adds support for Momentum for python runtime (2022-04-15)
* :issue:`422`: Adds support for NonMaxSuppression for python runtime (2022-04-14)
* :issue:`421`: Adds support for Adagrad, Adam in python runtime (2022-04-12)
* :issue:`420`: Adds support for operator Resize for python runtime (2022-04-10)
* :issue:`419`: Adds support for ThresholdedRelu for python runtime (2022-04-09)
* :issue:`418`: Adds support for operator OneHot, ScatterND for python runtime (2022-04-09)
* :issue:`417`: C++ implementation for Im2col and Col2Im in 2D (2022-04-09)
* :issue:`416`: Adds support for DepthToSpace and SpaceToDepth for python runtime (2022-04-08)
* :issue:`415`: Implements experimentation im2col (used in image convolution) (2022-04-08)
* :issue:`414`: Adds support for operator NonZero in python runtime (2022-04-06)
* :issue:`413`: Adds support for operator Shink for python runtime (2022-04-06)
* :issue:`412`: Adds support for DynamicQuantizeLinear for python runtime (2022-04-05)
* :issue:`411`: Adds support for operators Unique, SoftPlus, SoftSign for python runtime (2022-04-05)
* :issue:`410`: Supports operator GatherND for python runtime (2022-04-05)
* :issue:`409`: Fixes bug with EyeLike in python runtime (2022-04-04)
* :issue:`408`: Improves backtest coverage, update documentation (2022-04-03)
* :issue:`407`: Supports operator Hardmax for python runtime (2022-03-30)
* :issue:`406`: Supports operator Bernoulli for python runtime (2022-03-30)
* :issue:`405`: Supports operator PRelu for python runtime (2022-03-30)
* :issue:`404`: Fixes Trilu (2022-03-30)
* :issue:`403`: Supports ReduceLogSum for python runtime (2022-03-30)
* :issue:`402`: Supports operator Xor for python runtime (2022-03-30)
* :issue:`401`: Removes parameter device, adds parameter provider (2022-03-30)
* :issue:`400`: Supports local functions calling local functions for python runtime (2022-03-28)
* :issue:`399`: Supports function SoftmaxCrossEntropyLoss for python runtime (2022-03-28)
* :issue:`397`: Implements method f in OnnxOperatorItem (2022-03-27)
* :issue:`396`: Move grammar_sklearn to subfolder. (2022-03-27)
* :issue:`395`: Supports eager evaluation in XOP API (2022-03-27)
* :issue:`394`: Enables expression OnnxCos[15](...) (2022-03-26)
* :issue:`393`: Adds domain in function onnx_simple_text_plot (2022-03-25)
* :issue:`392`: Supports random operators for python runtime (2022-03-25)
* :issue:`391`: Adds support for onnx predefined functions for python runtime (2022-03-24)
* :issue:`390`: Adds support for operator HardSigmoid for python runtime (2022-03-23)
* :issue:`389`: Adds support for operator Selu for python runtime (2022-03-23)
* :issue:`388`: Adds support for operator Trilu in python runtime (2022-03-23)
* :issue:`387`: Supports operator Elu for python runtime (2022-03-23)
* :issue:`386`: Supports operator BitShift for python runtime (2022-03-23)
* :issue:`384`: Supports FunctionProto in XOP API. (2022-03-21)
* :issue:`383`: Improves python runtime for ONNX (2022-03-19)
* :issue:`382`: Adds one unit test to check lightgbm conversion with opsetml==3 (2022-03-18)
* :issue:`381`: Documentation, more notebooks on FFT (2022-03-17)
* :issue:`380`: Removes method get_output in xop API (2022-03-16)
* :issue:`379`: Improves python runtime coverage (2022-03-14)
* :issue:`378`: Adds function export2xop, exports onnx graph to XOP API (2022-03-12)

0.8.1762 - 2022-03-10 - 2.01Mb
==============================

* :issue:`377`: Implements TreeEnsemble* for opsetml==3 (2022-03-10)
* :issue:`376`: Avoids one circular import. (2022-03-07)
* :issue:`375`: Adds code to turn onnx example into python unit test (2022-03-05)
* :issue:`374`: Implements onnx backend with python runtime (2022-03-05)
* :issue:`372`: Improves importing time (2022-03-05)
* :issue:`373`: Adds support for Expand in python runtime (2022-03-04)
* :issue:`371`: Support for ONNX functions (2022-03-04)
* :issue:`370`: Refactors numpy API to use Xop API (2022-03-03)
* :issue:`369`: Supports recursive display in onnx_simple_text_plot (2022-02-28)
* :issue:`368`: Updates requirements, skl2onnx>=1.11 (2022-02-28)
* :issue:`367`: Refactors results name in Xop API (2022-02-27)
* :issue:`366`: Adds python runtime for CategoryMapper (2022-02-24)
* :issue:`365`: Adds command line benchmark_doc (2022-02-24)
* :issue:`364`: Runs onnx backend test with python runtime (2022-02-23)
* :issue:`363`: Refactoring, moving files testing.experimental_c (2022-02-23)
* :issue:`362`: Adds command line plot_onnx (2022-02-23)
* :issue:`361`: Introduces __max_supported_opset__ and refactors the library (2022-02-23)
* :issue:`360`: Xop API, adds class OnnxSubOnnx to insert ONNX graph (2022-02-22)
* :issue:`359`: Supports domains in Xop API (2022-02-21)
* :issue:`358`: Extends supported operator by OnnxShapeInference (2022-02-21)
* :issue:`357`: Modifies OnnxShapeInference to deal with untyped outputs (2022-02-19)
* :issue:`356`: Supports multiple affectations (xop) (2022-02-18)
* :issue:`355`: Fixes for onnx==1.11 (2022-02-18)
* :issue:`353`: Experimentations with a new API to create ONNX graphs (2022-02-18)
* :issue:`352`: Supports for shape inference on unary operators (2022-02-14)

0.8.1697 - 2022-02-11 - 1.98Mb
==============================

* :issue:`351`: Adds name in ShapeResult, fixes zoo links (2022-02-11)
* :issue:`350`: First version of runtime OnnxShapeInference (2022-02-09)
* :issue:`348`: Moves OnnxMicroRuntime to onnxrt (2022-02-05)
* :issue:`346`: Adds runtime for operator CastLike (2022-02-05)
* :issue:`347`: numpy API for onnx: wrapped function can call other wrapped functions (2022-02-04)
* :issue:`345`: Improves command line to measure latency for a model (2022-02-03)
* :issue:`344`: Adds a method to_onnx to easily retrieve the onnx graph from numpy onnx function (2022-02-03)
* :issue:`343`: Shows links in onnx_simple_text_plot (2022-02-03)
* :issue:`342`: Displays small arrays in onnx_simple_text_plot (2022-01-22)

0.8.1674 - 2021-12-30 - 23.58Mb
==============================

* :issue:`340`: Implements tokenizer following scikit-learn's API using onnxruntime-extensions (2021-12-29)
* :issue:`339`: op_label_encoder support for keys_strings & values_floats (2) (replaces #335) (2021-12-29)
* :issue:`338`: Updated to support key_strings and values_floats combo (2021-12-29)
* :issue:`335`: op_label_encoder support for keys_strings & values_floats (2021-12-29)
* :issue:`322`: Add tokenizers with onnxruntime-extensions (2021-12-29)
* :issue:`337`: Supports operator Scan when exporting an onnx graph to onnx code (2021-12-21)
* :issue:`336`: Enables GPU with OnnxInference and onnxruntime (2021-12-21)

0.7.1672 - 2021-12-19 - 1.95Mb
==============================

* :issue:`334`: update history (2021-12-19)
* :issue:`333`: Adds command line latency to measure the latency of a runtime (2021-12-18)
* :issue:`332`: Improves dot rendering, fixes disconnected subgraphs (2021-12-18)
* :issue:`331`: Removes measure_time (2021-12-15)
* :issue:`330`: Reduces verbosity when onnxruntime is used as a runtime for OnnxInference (2021-12-14)
* :issue:`329`: Fixes type issue in shape inference for operator If (2021-12-14)
* :issue:`328`: Extends command line onnx_stats (2021-12-14)
* :issue:`327`: Adds runtime for operator LeakyRelu (2021-12-13)
* :issue:`326`: Better error messages when name is shared with results and node name in onnx_simple_text_plot (2021-12-10)

0.7.1649 - 2021-12-09 - 1.94Mb
==============================

* :issue:`325`: Implements a simple text display for ONNX graph (2021-12-08)
* :issue:`324`: Adds runtime for gradient operators YieldOp, BroadcastGradientArgs (2021-11-30)
* :issue:`323`: Implements if with numpy API (2021-11-26)
* :issue:`320`: Fix exporter to tf2onnx (2021-11-13)
* :issue:`319`: Supports operator SequenceAt in OnnxInference (2021-11-09)
* :issue:`318`: Disable onnxruntime optimisation on one particular graph (2021-11-04)
* :issue:`317`: plot_onnx fails when node names contains '.' (2021-10-28)
* :issue:`316`: failed to use RandomForestRegressor ort in android studio (2021-10-28)

0.7.1626 - 2021-10-21 - 23.49Mb
==============================

* :issue:`315`: Fixes import issue for python 3.6 (2021-10-21)

0.7.1625 - 2021-10-12 - 0.58Mb
==============================

* :issue:`314`: Builds mlprodict for python 3.6 on linux (2021-10-11)
* :issue:`313`: Fix a bug related to shapes when exporting a model to tf2onnx (2021-10-10)
* :issue:`312`: Add more tests for einsum decomposition (2021-10-08)

0.7.1624 - 2021-10-02 - 2.69Mb
==============================

* :issue:`311`: Support opset 15 (onnx>=1.10) (2021-10-02)
* :issue:`310`: Raise an exception when inplace and intermediate are True (OnnxInference.run) (2021-09-23)

0.7.1602 - 2021-09-21 - 2.69Mb
==============================

* :issue:`309`: Adds function insert_results_into_onnx to insert results into a graph to debug (2021-09-21)
* :issue:`308`: Adds function to rename all results in ONNX graphs (2021-09-13)
* :issue:`307`: Adds runtime for operator SequenceConstruct (2021-09-13)
* :issue:`305`: Add option to split lightgbm converter into multipule TreeEnsemble (2021-09-10)
* :issue:`304`: Add tree text visualization for TreeEnsemble (2021-09-01)
* :issue:`303`: Implements a estimator speeding up the inference using ONNX (2021-08-31)
* :issue:`302`: Removes unused nodes after changing the outputs. (2021-08-23)
* :issue:`298`: Remove unused nodes after changing the outputs (2021-08-23)
* :issue:`301`: Different build for manylinux on python 3.9 (2021-08-18)
* :issue:`300`: Improves Lightgbm converter design + fix wrong prediction for TreeEnsemble with non contiguous arrays (2021-08-18)
* :issue:`297`: Adds function to convert ONNX into numpy code. (2021-08-13)
* :issue:`296`: Lightgbm + add function matmul to numpy API for ONNX (2021-08-07)
* :issue:`295`: Implements runtime for operator FFT (2021-08-03)
* :issue:`291`: Fixes infinite loop with operator loop, add support for static variables in Loop (2021-07-31)
* :issue:`294`: Implements text representation of an ONNX graph (bigraph) (2021-07-30)
* :issue:`293`: Add a tool to display an ONNX graph into text format (2021-07-30)
* :issue:`292`: Adds operator AveragePool to the python runtime (2021-07-29)
* :issue:`290`: Increases code coverage, add infer_size for Loop runtime (2021-07-28)

0.6.1522 - 2021-07-26 - 23.15Mb
==============================

* :issue:`289`: Avoids raising an exception when an optional parameter is not specified (2021-07-26)
* :issue:`288`: Extends code coverage (2021-07-25)
* :issue:`287`: Adds python runtime for operator Loop, SequenceInsert, ConcatFromSequence (2021-07-25)
* :issue:`286`: Adds runtime for operator Range (2021-07-13)

0.6.1447 - 2021-07-12 - 1.79Mb
==============================

* :issue:`285`: Adds function cst to create constant with numpy API for ONNX (2021-07-12)
* :issue:`283`: Commutative property (2021-07-12)
* :issue:`281`: Infers temporary allocation needed while computing the outputs (2021-07-12)
* :issue:`284`: Adds function transpose to numpy API for ONNX (2021-07-10)
* :issue:`282`: Upgrade requirements to skl2onnx>=1.9.0 (2021-07-02)
* :issue:`280`: More robustness for the python runtime (2021-07-01)
* :issue:`279`: Implements method infer_types in OnnxInference (2021-06-28)
* :issue:`278`: Adds operators ReduceSum, Max to OnnxMicroRuntime (2021-06-27)
* :issue:`277`: Switch to python 3.9 in CI (2021-06-25)
* :issue:`276`: Use openmp to parallelize QLinearConv (2021-06-25)
* :issue:`275`: Adds new strategy to pick up the best einsum equation based on ML (2021-06-25)
* :issue:`274`: Fixes issue raised with scipy 1.7.0 (2021-06-22)
* :issue:`273`: Adds operator where, improves numpy api (x[x<0]= 2) (2021-06-18)
* :issue:`272`: Explore custom implementation of operator add (2021-06-18)
* :issue:`271`: Updates default opset from 13 to 14 (2021-06-17)
* :issue:`270`: Adds more tests for QLinearConv runtime (2021-06-16)
* :issue:`269`: Adds runtime for operator QLinearConv (2021-06-04)
* :issue:`268`: Adds function to prepare data for onnxruntime_perf_test (2021-05-17)
* :issue:`267`: Moves onnxruntime code inside a wrapper to reduce logs (2021-05-14)
* :issue:`266`: Optimizes einsum even if not decomposed (2021-05-13)
* :issue:`265`: Refactoring, moves files to onnx_tools (2021-05-12)
* :issue:`264`: Support SessionOptions for runtime onnxruntime2 (2021-05-12)
* :issue:`263`: Refactor einsum files (2021-05-06)
* :issue:`262`: Refactoring, moving files into onnx_tools (2021-05-06)
* :issue:`261`: Improves einsum decomposition by using gemm and removing a transpose (2021-05-05)
* :issue:`260`: New command line to benchmark einsum decomposition (2021-05-03)
* :issue:`259`: Minor changes to Einsum decomposition (2021-05-02)
* :issue:`258`: Decomposes Einsum into simple matrix operations (2021-04-30)
* :issue:`257`: Fixes #256, add method to validate input data in numpy API for ONNX (2021-04-20)
* :issue:`256`: Add virtual method to validate input before predictions in numpy API for ONNX (2021-04-20)

0.5.1447 - 2021-04-17 - 1.54Mb
==============================

* :issue:`255`: Supports any embedded estimator with numpy API (2021-04-17)
* :issue:`254`: Adds python runtime for operator ReduceL1 (2021-04-16)
* :issue:`253`: Adds runtime for operator ReduceL2 (2021-04-14)
* :issue:`252`: Implements an experimental version of reducesum for the case RK (2021-04-07)
* :issue:`251`: Increases code coverage (2021-04-07)
* :issue:`250`: Increases code coverage of unit tests (2021-04-03)
* :issue:`248`: Adds implementation of BatchNormalization opset 14 (2021-03-29)
* :issue:`247`: Introduces FctVersion to fix issue with optional arguments (2021-03-29)
* :issue:`246`: Extends example on ReduceSum benchmark (2021-03-26)
* :issue:`244`: Supports embedded models, complete tutorial on numpy API for ONNX (2021-03-26)
* :issue:`243`: Add decorator to wrap converter for clustering (numpy API) (2021-03-17)
* :issue:`242`: Add decorator to wrap converter for classifier (numpy API) (2021-03-17)
* :issue:`241`: Add decorator to register scikit-learn classes with numpy API for ONNX (2021-03-14)
* :issue:`240`: Add decorator to wrap converter for regressor (numpy API) (2021-03-14)
* :issue:`239`: Add runtime empty (2021-03-13)
* :issue:`238`: Use numpy API for ONNX to write custom converters (2021-03-13)
* :issue:`237`: Add a unit test to check an exception (2021-03-10)
* :issue:`236`: Implements __setitem__ for one dimension array (2021-03-08)
* :issue:`235`: Supports profiling for runtime onnxruntime1 (2021-03-04)
* :issue:`233`: Extend documentation about numpy API for ONNX (2021-03-04)
* :issue:`234`: Add parameter overwrite to select_model_inputs_outputs (2021-03-03)
* :issue:`232`: Implements pickling for functions used in numpy API for ONNX (2021-03-03)
* :issue:`231`: Supports different inputs in select_model_inputs_outputs (2021-03-03)
* :issue:`230`: Add unsqueeze, squeeze, expand_dims to numpy API for ONNX (2021-03-02)
* :issue:`229`: Add method flatten, function pad to numpy API for ONNX (2021-03-01)
* :issue:`228`: Improves numpy API for ONNX: type constraints (2021-03-01)
* :issue:`227`: Add functions arange, cumsum, compress to numpy API for ONNX (2021-03-01)
* :issue:`226`: Add function Einsum to numpy API for ONNX (2021-02-28)
* :issue:`225`: Adds function Clip to numpy API for ONNX (2021-02-28)
* :issue:`224`: Adds functions ceil, round to numpy API for onnx (2021-02-27)
* :issue:`223`: Test numpy API against onnxruntime (2021-02-27)
* :issue:`222`: Add hyperbolic function, prod, mean, argmin, argmax (2021-02-26)
* :issue:`221`: Add many simple functions to numpy API for ONNX (2021-02-26)
* :issue:`220`: Tutorial on numpy API for ONNX (2021-02-26)
* :issue:`219`: Simplifies onnxfication of FunctionTransformer (2021-02-23)
* :issue:`218`: Implements __setitem__ for class OnnxVar (2021-02-21)
* :issue:`217`: Move custom operator to a specific method easier to maintain (2021-02-21)
* :issue:`216`: Fix crash with Gather, TopK when k=0 or indices is empty. (2021-02-20)
* :issue:`215`: Implements __getitem__ for OnnxVar (onnxnumpy) (2021-02-20)
* :issue:`214`: Implements numpy functions with onnx (2021-02-19)
* :issue:`213`: Add parameter show to plot_onnx. (2021-02-11)
* :issue:`212`: Fixes #210, check first models from zoo, fix operator conv when B is not null (2021-02-05)
* :issue:`210`: Investigate models from ONNX zoo (2021-02-05)
* :issue:`211`: numpy 1.20 does not allow nan values in int64 arrays any more, fix a unit test about imputer (2021-02-02)
* :issue:`208`: Add try catch around import in asv benchmark (2021-01-30)
* :issue:`207`: Reduces greater batch size to 10.000 instead of 100.000. (2021-01-29)
* :issue:`205`: Fixes asv configuration (2021-01-18)
* :issue:`206`: Build wheel for all many platforms in CI (2021-01-17)

0.5.1360 - 2021-01-04 - 1.44Mb
==============================

* :issue:`203`: Enable Python 3.9, enable opset 13, upgrade version number (2021-01-04)
* :issue:`202`: Enable opset 13 (ONNX) (2021-01-04)
* :issue:`201`: Fixes #200, add support for float16 (2020-12-30)
* :issue:`200`: Add support for bfloat16 (2020-12-30)
* :issue:`199`: Fix unit tests recently failing due to onnxruntime update. (2020-12-15)

0.4.1352 - 2020-12-11 - 0.34Mb
==============================

* :issue:`196`: Fixes operator Slice for opset 9 (2020-12-11)
* :issue:`198`: Fixes #197, add function to plot onnx graph with matplotlib (2020-12-09)
* :issue:`197`: Add a function to plot an onnx graph into matplotlib (2020-12-09)
* :issue:`195`: Fixes #194, add function to add an operator in the graph (2020-12-08)
* :issue:`194`: Add a function to insert a cast operator between two nodes (2020-12-08)
* :issue:`193`: Improves notebook coverage, update CI (2020-11-29)
* :issue:`192`: Fixes #191, improves performance of TreeEnsemble (2020-11-28)
* :issue:`191`: Improves performance of TreeEnsemble (2020-11-28)
* :issue:`190`: Fixes #189, parallelization of Einsum (2020-11-17)
* :issue:`189`: Introduce parallelization in experimental einsum implementation (2020-11-17)
* :issue:`188`: Fixes #187, custom implementation for operator Einsum (2020-11-15)
* :issue:`187`: Custom implementation for operator Einsum (2020-11-15)
* :issue:`186`: Fixes #185, add operator LessOrEqual (2020-11-15)
* :issue:`185`: Add operator LessOrEqual (2020-11-15)
* :issue:`181`: Fix converter xgboost when ntree_limit is set up (2020-11-14)
* :issue:`184`: Fixes #183, fix missing parameter black_op in OnnxPipeline (2020-11-07)
* :issue:`183`: Fix error in OnnxPipeline, parameter black_op not found (2020-11-07)
* :issue:`182`: Fixes #178, fix xgboost issue with ntree_limit (2020-11-07)
* :issue:`178`: Fixes unit test testing OnnxConv (issue with shapes) (2020-11-07)
* :issue:`180`: Fixes #179, fix guess_schema_from_data for categories (2020-11-03)
* :issue:`179`: guess_schema_data_type fails with category in dataframe (2020-11-03)
* :issue:`176`: Fixes #175, add operator dropout (2020-09-29)
* :issue:`175`: Add operator Dropout (2020-09-29)
* :issue:`174`: Add support for ReduceSum >= 13 (2020-09-21)
* :issue:`173`: Fixes #172, add runtime for operator MaxPool (2020-09-16)
* :issue:`172`: Add runtime for operator MaxPool (2020-09-16)
* :issue:`171`: Fixes #170, add operator Pad (2020-09-10)
* :issue:`170`: Add runtime for operator Pad (2020-09-10)
* :issue:`169`: fix compiling issue with ubuntu 16.04 (2020-09-03)
* :issue:`167`: Add runtime for Operator Or (2020-08-25)
* :issue:`166`: Add runtime for operator And (2020-08-25)
* :issue:`165`: Add runtime for operator GreaterOrEqual (2020-08-25)
* :issue:`164`: Add runtime for operator If (2020-08-25)
* :issue:`163`: Add runtime for operator Unsqueeze (2020-08-25)
* :issue:`162`: Add runtime for operator Split (2020-08-25)
* :issue:`161`: Add support for disable_optimisation (2020-08-12)
* :issue:`160`: Fixes #159, add operator ConvTranspose, refactoring. (2020-08-07)
* :issue:`159`: Implements runtime for ConvTranspose (2020-08-07)
* :issue:`158`: Fixes benchmark import issues (2020-08-03)
* :issue:`157`: Simplify scenarios, reduce time for benchmark. (2020-08-02)
* :issue:`156`: Fixes #155, improves documentation (2020-08-02)
* :issue:`155`: Fixes API on documentation (2020-08-02)
* :issue:`154`: Fixes y_train dtype for most of the problems. Fixes subproblems with GridSearchCV (2020-07-31)
* :issue:`153`: Fixes #152, set set n_jobs to the number of CPU (2020-07-31)
* :issue:`152`: Set n_jobs to the number of core - 1 when doing benchmark (2020-07-31)
* :issue:`151`: Force operator Conv to use continuous array (2020-07-30)
* :issue:`150`: Fixes nan issue in operator conv (2020-07-29)
* :issue:`147`: Fixes #145, #150, shape inference for operator Conv (2020-07-29)
* :issue:`145`: Fixes missing shape inference for operator conv (2020-07-29)
* :issue:`149`: Fixes #148, add operator Atan (2020-07-22)
* :issue:`148`: Add operator atan (2020-07-22)
* :issue:`146`: Fixes #144, add operator GlobalAveragePool (2020-07-21)
* :issue:`144`: Implements operator GlobalAveragePool (2020-07-21)
* :issue:`143`: Fixes #142, add operator BatchNormalization (2020-07-21)
* :issue:`142`: Implement python runtime for operator BatchNormalization (2020-07-21)
* :issue:`141`: Fixes #140, add runtime for QuantizeLinear, DequantizeLinear (2020-07-20)
* :issue:`140`: Implement runtime for QuantizeLinear, DequantizeLinear (2020-07-20)
* :issue:`139`: Add runtime for operator EyeLike (2020-07-08)
* :issue:`138`: Add code to register custom python operator (2020-07-08)
* :issue:`137`: Remove parameter dtype (onnx conversion) (2020-07-08)
* :issue:`136`: Add parameter reshape to OnnxTransformer (2020-07-03)
* :issue:`135`: Add a function to change the first dimension output (ONNX). (2020-07-03)
* :issue:`133`: Implements runtime for operator Gather (ONNX) (2020-06-18)
* :issue:`132`: Add operator StringNormalizer, Tokenizer, TfidfVectorizer (ONNX) (2020-06-15)
* :issue:`131`: Add custom operator solve (2020-06-12)
* :issue:`130`: Add operator Erf (ONNX) (2020-06-11)
* :issue:`129`: Add operator Einsum (ONNX) (2020-06-11)
* :issue:`128`: Fixes #127, implements OnnxPipeline, train, convert at each step (2020-06-08)
* :issue:`127`: Implements a pipeline which replaces early stages by onnx (2020-06-08)
* :issue:`123`: Enables opset 12 (ONNX) (2020-06-04)
* :issue:`117`: Support for op_version in onnx grammar (2020-06-04)
* :issue:`126`: Fix xgboost converter for xgboost >= 1.0 (2020-05-18)
* :issue:`125`: Refactor rewritten sklearn operators (2020-05-18)
* :issue:`124`: Fixes #122, capture standard C ouptput with dump_data_model, first step for #123 (2020-05-16)
* :issue:`122`: Captures C output when calling dump_data_and_model (2020-05-16)
* :issue:`121`: Add function to convert array to bytes and bytes to array (onnx tensor) (2020-04-30)
* :issue:`120`: Fix discrepencies for SVM classifier (ONNX) (2020-04-30)
* :issue:`119`: Keep order in topk implementation (2020-04-17)
* :issue:`118`: opset is not propagated in OnnxTransformer (2020-04-09)
* :issue:`115`: Add a function to replay a benchmark when this one was dumped (more accurate) (2020-04-06)
* :issue:`116`: Makes ZipMapDictionary picklable (2020-03-30)
* :issue:`114`: Add more parameters to specify benchmark time (2020-03-30)
* :issue:`113`: Add operators for opset 12 (2020-03-26)
* :issue:`112`: Number of feature is wrong for problem num-tr-clus (2020-03-20)
* :issue:`111`: Reduce the number of allocation in TreeEnsemble when it is parallelized (cache) (2020-03-13)
* :issue:`110`: Implements runtime for operator Constant-12 (2020-03-06)
* :issue:`109`: Generate a benchmark with asv to compare different runtime. Update modules in asv. (2020-03-06)
* :issue:`108`: Add a function to reduce the memory footprint (2020-02-25)
* :issue:`106`: Add operator Neg (2020-02-25)
* :issue:`101`: Fix DecisionTreeClassifier disappearance on the benchmark graph (2020-02-25)
* :issue:`107`: Add operator IsNaN (2020-02-24)
* :issue:`105`: Support string labels for Linear, TreeEnsemble, SVM classifiers. (2020-02-24)
* :issue:`104`: Enable / disable parallelisation in topk (2020-02-23)
* :issue:`103`: Implements plot benchmark ratio depending on two parameters (2020-02-22)
* :issue:`102`: Fix conversion for xgboost 1.0 (2020-02-21)
* :issue:`100`: add notebook on TreeEnsemble (2020-02-19)
* :issue:`99`: Fixes #93, use same code for TreeEnsembleClassifier and TreeEnsembleRegression (2020-02-19)
* :issue:`93`: Use pointer for TreeClassifier (2020-02-19)
* :issue:`98`: mlprodict i broken after onnxruntime, skl2onnx update (2020-02-15)
* :issue:`97`: Add runtime for operator Conv (2020-01-24)
* :issue:`96`: Fixes #97, add runtime for operator Conv (2020-01-24)
* :issue:`95`: Fix OnnxInference where an output and an operator share the same name (2020-01-15)
* :issue:`94`: Raw scores are always positive for TreeEnsembleClassifier (binary) (2020-01-13)
* :issue:`90`: Implements a C++ runtime for topk (2019-12-17)
* :issue:`86`: Use pointers to replace treeindex in tree ensemble cpp runtime (2019-12-17)
* :issue:`92`: Implements a C++ version of  ArrayFeatureExtractor (2019-12-14)
* :issue:`89`: Implements a function which extracts some informations on the models (2019-12-14)
* :issue:`88`: Fix bug in runtime of GatherElements (2019-12-14)
* :issue:`87`: Add converter for HistGradientBoostRegressor (2019-12-09)
* :issue:`85`: Implements a precompiled run method in OnnxInference (runtime='python_compiled') (2019-12-07)
* :issue:`84`: Automatically creates files to profile time_predict function in the benchmark with py-spy (2019-12-04)
* :issue:`83`: ONNX: includes experimental operators in the benchmark (2019-12-04)
* :issue:`82`: Function translate_fct2onnx: use of opset_version (2019-12-04)
* :issue:`81`: ONNX benchmark: track_score returns scores equal to 0 or 1 (unexpected) (2019-12-04)
* :issue:`80`: ONNX: extend benchmark to decision_function for some models (2019-12-03)
* :issue:`77`: Improves ONNX benchmark to measure zipmap impact. (2019-12-03)
* :issue:`76`: Implements ArgMax 12, ArgMax 12 (python onnx runtime) (2019-11-27)
* :issue:`75`: ONNX: fix random_state whevever it is available when running benchmark (2019-11-27)
* :issue:`59`: ONNX: Investigate kmeans and opset availability. (2019-11-21)
* :issue:`66`: ONNX: improves speed of python runtime for decision trees (2019-11-19)
* :issue:`74`: Function _modify_dimension should return the same dataset if called the same parameter (even if it uses random functions) (2019-11-15)
* :issue:`73`: ONNX: fix links on benchmark page (opset is missing) (2019-11-07)
* :issue:`72`: ONNX: support of sparse tensor for a unary and binary python operators (2019-11-06)
* :issue:`71`: ONNX: add operator Constant (2019-11-06)
* :issue:`67`: ONNX: improves speed of svm regressor (2019-11-06)
* :issue:`70`: ONNX: write tools to test convervsion for models in scikit-learn examples (2019-10-29)
* :issue:`65`: ONNX: investigate discrepencies for k-NN (2019-10-28)
* :issue:`69`: ONNX: side by side should work by name and not by positions (2019-10-23)
* :issue:`68`: ONNX: improves speed of SGDClassifier (2019-10-23)
* :issue:`61`: Implements a function to create a benchmark based on asv (ONNX) (2019-10-17)
* :issue:`63`: Export asv results to csv (ONNX) + command line (2019-10-11)
* :issue:`64`: Add an example with lightgbm and categorical variables (ONNX) (2019-10-07)
* :issue:`62`: Implements command line for the asv benchmark (ONNX) (2019-10-04)
* :issue:`60`: Improve lightgbm converter (ONNX) (2019-09-30)
* :issue:`58`: Fix table checking model, merge is wrong in documentation (2019-09-20)
* :issue:`57`: ONNX: handles dataframe when converting a model (2019-09-15)
* :issue:`56`: ONNX: implements cdist operator (2019-09-12)
* :issue:`54`: ONNX: fix summary, it produces multiple row when model are different when opset is different (2019-09-12)
* :issue:`51`: ONNX: measure the time performance obtained by using optimization (2019-09-11)
* :issue:`52`: ONNC-cli: add a command line to optimize an onnx model (2019-09-10)
* :issue:`49`: ONNX optimization: remove redundant subparts of a graph (2019-09-09)
* :issue:`48`: ONNX optimization: reduce the number of Identity nodes (2019-09-09)
* :issue:`47`: Implements statistics on onnx graph and sklearn models, add them to the documentation (2019-09-06)
* :issue:`46`: Implements KNearestNeibhorsRegressor supporting batch mode (ONNX) (2019-08-31)
* :issue:`45`: KNearestNeighborsRegressor (2019-08-30)
* :issue:`44`: Add an example to look into the performance of every node for a particular dataset (2019-08-30)
* :issue:`43`: LGBMClassifier has wrong shape (2019-08-29)
* :issue:`42`: Adds a graph which visually summarize the validating benchmark (ONNX). (2019-08-27)
* :issue:`41`: Enables to test multiple number of features at the same time (ONNX) (2019-08-27)
* :issue:`40`: Add a parameter to change the number of featuress when validating a model (ONNX). (2019-08-26)
* :issue:`39`: Add a parameter to dump all models even if they don't produce errors when being validated (ONNX) (2019-08-26)
* :issue:`24`: support double for TreeEnsembleClassifier (python runtime ONNX) (2019-08-23)
* :issue:`38`: See issue on onnxmltools. https://github.com/onnx/onnxmltools/issues/321 (2019-08-19)
* :issue:`35`: Supports parameter time_kwargs in the command line (ONNX) (2019-08-09)
* :issue:`34`: Add intervals when measuring time ratios between scikit-learn and onnx (ONNX) (2019-08-09)
* :issue:`31`: Implements shape inference for the python runtime (ONNX) (2019-08-06)
* :issue:`15`: Tells operator if the execution can be done inplace for unary operators (ONNX). (2019-08-06)
* :issue:`27`: Bug fix (2019-08-02)
* :issue:`23`: support double for TreeEnsembleRegressor (python runtime ONNX) (2019-08-02)
* :issue:`26`: Tests all converters in separate processeses to make it easier to catch crashes (2019-08-01)
* :issue:`25`: Ensures operator clip returns an array of the same type (ONNX Python Runtime) (2019-07-30)
* :issue:`22`: Implements a function to shake an ONNX model and test float32 conversion (2019-07-28)
* :issue:`21`: Add customized converters (2019-07-28)
* :issue:`20`: Enables support for TreeEnsemble operators in python runtime (ONNX). (2019-07-28)
* :issue:`19`: Enables support for SVM operators in python runtime (ONNX). (2019-07-28)
* :issue:`16`: fix documentation, visual graph are not being rendered in notebooks (2019-07-23)
* :issue:`18`: implements python runtime for SVM (2019-07-20)
* :issue:`17`: add a mechanism to use ONNX with double computation (2019-07-15)
* :issue:`13`: add automated benchmark of every scikit-learn operator in the documentation (2019-07-05)
* :issue:`12`: implements a way to measure time for each node of the ONNX graph (2019-07-05)
* :issue:`11`: implements a better ZipMap node based on dedicated container (2019-07-05)
* :issue:`8`: implements runtime for decision tree (2019-07-05)
* :issue:`7`: implement python runtime for scaler, pca, knn, kmeans (2019-07-05)
* :issue:`10`: implements full runtime with onnxruntime not node by node (2019-06-16)
* :issue:`9`: implements a onnxruntime runtime (2019-06-16)
* :issue:`6`: first draft of a python runtime for onnx (2019-06-15)
* :issue:`5`: change style highlight-ipython3 (2018-01-05)