.. _l-HISTORY:

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History
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current - 2022-05-30 - 0.00Mb
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* :issue:`64`: Fixes bug introduced by recent updates (2022-05-29)
* :issue:`62`: Adds a notebook about convolution (2022-05-27)
* :issue:`63`: Add GraphProto to the documentation (2022-04-28)
* :issue:`60`: Extends notebook coverage (2022-03-07)
* :issue:`59`: Removes unnecessary exceptions (2022-03-06)
* :issue:`58`: Uses new API to retrieve gradient for a model (2022-03-03)
* :issue:`57`: Fix opset for ai.onnx.ml in examples after updating to onnx==1.11 (2022-02-22)
* :issue:`56`: Renames Z into Y_grad in loss functions returning grad (2022-02-14)
* :issue:`55`: Removes unncessary nodes in onnx_derivative (2022-02-14)
* :issue:`54`: Implements a function which returns the gradient (2022-02-13)

0.4.293 - 2022-02-11 - 0.07Mb
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* :issue:`53`: Implements get_trained_onnx to retrieve the trained model (2022-02-04)
* :issue:`51`: Implements scoring functions (2022-02-02)
* :issue:`49`: Check nan values during training (2022-01-30)

0.4.274 - 2022-01-29 - 0.06Mb
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* :issue:`48`: Checks gradients are identical to scikit-learn for neural networks (2022-01-25)
* :issue:`47`: Compare gradient values with scikit-learn (2022-01-25)
* :issue:`45`: Adds an example about classification (2022-01-23)
* :issue:`44`: Uses bind_ortvalue_input instead of bind_input to be faster (2022-01-23)
* :issue:`32`: Implements classificiation loss (2022-01-23)
* :issue:`43`: Fixes the training of a binary classifier with weights (2022-01-22)
* :issue:`42`: Implements binary log loss for first API of orttraining (2022-01-22)
* :issue:`41`: Refactors to improve profiling analysis (fix penalty, export onnx graphs) (2022-01-15)
* :issue:`40`: Improves training fwbw with caching. (2022-01-14)
* :issue:`37`: Improves performance of caching (2022-01-09)
* :issue:`36`: Makes sure all plt.show() have been disabled in examples (2022-01-04)
* :issue:`35`: Reduces the number of calls to bind_ortvalue (2022-01-04)

0.3.245 - 2022-01-03 - 0.06Mb
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* :issue:`34`: Implements L1, L2 losses for partial training (2022-01-03)
* :issue:`31`: Implements penalty when running the gradient (2022-01-03)
* :issue:`33`: Implements more loss functions (2022-01-02)
* :issue:`30`: Implements different learning rate strategies (2022-01-01)
* :issue:`26`: Implements learning rate from neural network (2022-01-01)
* :issue:`29`: Fixes #16, support weights while training (2021-12-30)
* :issue:`16`: Support weights when training a model (2021-12-30)
* :issue:`28`: Replaces OrtValue by C_OrtValue everywhere (2021-12-19)
* :issue:`24`: Be more consistent with OrtValue, OrtDevice, C and python versions (2021-12-19)
* :issue:`27`: Uses C_OrtDevice everywhere (2021-12-16)
* :issue:`15`: Add example with TrainingAgent (error gradient outside) (2021-12-14)
* :issue:`25`: Implements optimizers with forward, backward functionalities (2021-12-04)
* :issue:`21`: Implements a mechanism that update training weights with SGDRegressor or MLPRegressor (2021-12-04)
* :issue:`23`: Extend documentation (2021-12-01)
* :issue:`22`: Move learning_rate logic in a separate class (2021-12-01)
* :issue:`20`: Experiment markdown rendering (2021-12-01)
* :issue:`19`: Implements training with forward, backward (2021-12-01)
* :issue:`18`: Adds classes to train an ONNX gradient with TrainingAgent (2021-11-27)
* :issue:`17`: Minimize the number of data copy while training a model (2021-11-26)
* :issue:`14`: Optimize DataLoader to use iobinding (avoir copy) (2021-11-26)
* :issue:`13`: Adds function plot_onnxs (2021-11-25)
* :issue:`12`: Add more examples (2021-11-19)

0.2.122 - 2021-10-31 - 0.03Mb
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0.2.117 - 2021-10-26 - 0.03Mb
=============================

* :issue:`11`: Automates nvprof logs retrieval (2021-10-26)
* :issue:`10`: Add parameter to evaluate the model on test data while training (2021-10-12)
* :issue:`9`: Refactoring documentation (2021-10-08)
* :issue:`8`: Add example to look into neural network on GPU (2021-10-07)
* :issue:`7`: Refactoring (2021-10-04)
* :issue:`6`: Add examples with orttraining (2021-10-04)
* :issue:`5`: Fix examples, update documentation (2021-09-28)
* :issue:`4`: Complex scenarios (2021-07-12)
* :issue:`3`: Replaces OnnxSubOperator by OnnxSubEstimator (2021-03-31)

0.1.0 - 2020-07-09 - 0.04Mb
===========================

* :issue:`1`: Add an example on black list, while list of operators. (2020-07-09)