Mlprodict

Latest version: v0.9.1883

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0.7.1672

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

0.7.1649

==============================

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

0.7.1626

==============================

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

0.7.1625

==============================

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

0.7.1624

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

0.7.1602

==============================

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

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