Methods¶
Summary¶
method |
class parent |
truncated documentation |
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BaseEstimator |
Removes any non pickable attribute. |
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BaseLearningOnnx |
Overwrites getstate to get rid of InferenceSession. |
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OrtDataLoader |
Removes any non pickable attribute. |
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OrtGradientForwardBackwardOptimizer |
Removes any non pickable attribute. |
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OrtGradientForwardBackward |
Removes any non pickable attribute. |
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BaseEstimator |
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BaseLearningOnnx |
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OrtDataLoader |
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OrtGradientOptimizer |
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OrtGradientForwardBackwardOptimizer |
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OrtGradientForwardBackward |
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OrtGradientForwardBackwardFunction |
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AbsoluteLearningLoss |
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BaseLearningLoss |
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ElasticLearningLoss |
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NegLogLearningLoss |
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SquareLearningLoss |
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BaseLearningPenalty |
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ElasticLearningPenalty |
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NoLearningPenalty |
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BaseLearningRate |
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LearningRateSGD |
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LearningRateSGDNesterov |
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OrtDataLoader |
Returns the number of observations. |
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BaseEstimator |
Usual. |
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BaseLearningOnnx |
Usual |
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OrtDataLoader |
usual |
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OrtGradientForwardBackward |
usual |
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BaseLearningOnnx |
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BaseLearningRate |
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LearningRateSGD |
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LearningRateSGDNesterov |
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BaseEstimator |
Restores any non pickable attribute. |
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BaseLearningOnnx |
Overwrites getstate to get rid of InferenceSession. |
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OrtDataLoader |
Restores any non pickable attribute. |
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OrtGradientForwardBackwardOptimizer |
Restores any non pickable attribute. |
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OrtGradientForwardBackward |
Restores any non pickable attribute. |
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BaseLearningOnnx |
Binds C_OrtValue to the structure used by InferenceSession to run inference. |
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OrtGradientOptimizer |
Binds C_OrtValue to the structure used by InferenceSession to run inference. |
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BaseLearningOnnx |
Binds C_OrtValue to the structure used by InferenceSession to run inference. |
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AbsoluteLearningLoss |
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BaseLearningLoss |
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ElasticLearningLoss |
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NegLogLearningLoss |
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SquareLearningLoss |
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BaseLearningPenalty |
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ElasticLearningPenalty |
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NoLearningPenalty |
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BaseLearningRate |
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LearningRateSGD |
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LearningRateSGDNesterov |
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OrtGradientForwardBackward |
Creates forward and backward ONNX graph. The new class has the following attributes: |
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OrtGradientOptimizer |
Creates an instance of TrainingSession. |
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OrtGradientForwardBackwardOptimizer |
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OrtGradientOptimizer |
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OrtGradientForwardBackwardOptimizer |
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OrtGradientForwardBackwardOptimizer |
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BaseEstimator |
Returns the trained onnx graph, the initial graph modified by replacing the initializers with the trained … |
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OrtGradientForwardBackward |
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OrtGradientOptimizer |
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OrtGradientForwardBackwardOptimizer |
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OrtDataLoader |
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OrtGradientForwardBackwardFunction |
Implements backward function. The function returns an OrtValueVector. |
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BaseLearningOnnx |
This class updates the weights. It assumes it can do operator on OrtValue. This can be done through ONNX … |
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OrtGradientForwardBackwardOptimizer |
Creates ONNX graph and InferenceSession related to any operations applying on OrtValue. |
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AbsoluteLearningLoss |
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ElasticLearningLoss |
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NegLogLearningLoss |
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SquareLearningLoss |
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ElasticLearningPenalty |
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NoLearningPenalty |
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LearningRateSGD |
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LearningRateSGDNesterov |
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AbsoluteLearningLoss |
Assuming the loss function was created. This one takes the onnx graph and generate the onnx graph for the … |
BaseLearningLoss |
Assuming the loss function was created. This one takes the onnx graph and generate the onnx graph for the … |
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ElasticLearningLoss |
Assuming the loss function was created. This one takes the onnx graph and generate the onnx graph for the … |
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NegLogLearningLoss |
Assuming the loss function was created. This one takes the onnx graph and generate the onnx graph for the … |
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SquareLearningLoss |
Assuming the loss function was created. This one takes the onnx graph and generate the onnx graph for the … |
BaseLearningOnnx |
Clears binding and empty cache. |
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OrtGradientOptimizer |
Trains the model. |
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OrtGradientForwardBackwardOptimizer |
Trains the model. |
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OrtGradientForwardBackwardFunction |
Implements forward function. |
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OrtGradientForwardBackwardOptimizer |
Returns the trained weights and the inputs. |
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OrtGradientForwardBackward |
Returns an initializer as numpy arrays. |
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BaseEstimator |
Returns the list of parameters. Parameter deep is unused. |
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OrtGradientOptimizer |
Returns the trained weights. |
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OrtGradientForwardBackwardOptimizer |
Returns the trained weights. |
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BaseEstimator |
Returns the trained onnx graph, the initial graph modified by replacing the initializers with the trained … |
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OrtGradientOptimizer |
Returns the trained onnx graph, the initial graph modified by replacing the initializers with the trained … |
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OrtGradientForwardBackwardOptimizer |
Returns the trained onnx graph, the initial graph modified by replacing the initializers with the trained … |
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BaseLearningRate |
Initializes the learning rate at the beginning of the training. |
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LearningRateSGD |
Updates the learning rate at the end of an iteration. |
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LearningRateSGDNesterov |
Updates the learning rate at the end of an iteration. |
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OrtDataLoader |
Iterates over the datasets by drawing batch_size consecutive observations. Modifies a bind structure. |
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OrtDataLoader |
Iterates over the datasets by drawing batch_size consecutive observations. This iterator is slow as it … |
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OrtDataLoader |
Iterates over the datasets by drawing batch_size consecutive observations. This iterator is slow as it … |
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BaseLearningRate |
Loops over learning rate values, n to be precise. |
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LearningRateSGD |
Loops over learning rate values, n to be precise. |
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LearningRateSGDNesterov |
Loops over learning rate values, n to be precise. |
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AbsoluteLearningLoss |
Returns the loss and the gradient as OrtValue. |
BaseLearningLoss |
Returns the loss and the gradient as OrtValue. |
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ElasticLearningLoss |
Returns the loss and the gradient as OrtValue. |
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NegLogLearningLoss |
Returns the loss and the gradient as OrtValue. |
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SquareLearningLoss |
Returns the loss and the gradient as OrtValue. |
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AbsoluteLearningLoss |
Returns the weighted loss (or score) for every observation as OrtValue. |
BaseLearningLoss |
Returns the weighted loss (or score) for every observation as OrtValue. |
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ElasticLearningLoss |
Returns the weighted loss (or score) for every observation as OrtValue. |
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NegLogLearningLoss |
Returns the weighted loss (or score) for every observation as OrtValue. |
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SquareLearningLoss |
Returns the weighted loss (or score) for every observation as OrtValue. |
OrtGradientForwardBackwardOptimizer |
Returns the losses associated to every observation. |
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OrtGradientForwardBackward |
Creates an instance of class self.cls_type_. It implements methods forward and backward. |
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BaseLearningPenalty |
Returns the received loss. Updates the loss inplace. |
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ElasticLearningPenalty |
Computes the penalty associated to every weights and adds them up to the loss. |
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NoLearningPenalty |
Returns the received loss. Updates the loss inplace. |
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OrtGradientForwardBackwardFunction |
Saves inputs furing forward steps. The list inputs is copied (simple copy, no deep copy). |
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BaseOnnxClass |
Saves all ONNX files stored in this class. |
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OrtGradientForwardBackwardOptimizer |
Return the whole score associated. |
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BaseEstimator |
Returns the list of parameters. Parameter deep is unused. |
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OrtGradientOptimizer |
Changes the trained weights. |
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OrtGradientForwardBackwardOptimizer |
Changes the trained weights. |
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BaseLearningRate |
Updates the learning rate at the end of an iteration. |
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LearningRateSGD |
Updates the learning rate at the end of an iteration. |
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LearningRateSGDNesterov |
Updates the learning rate at the end of an iteration. |
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BaseLearningPenalty |
Returns the received loss. Updates the weight inplace. |
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ElasticLearningPenalty |
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NoLearningPenalty |
Returns the received loss. Updates the weight inplace. |
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BaseLearningRate |
Updates weights based on the algorithm this class is setting up. |
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LearningRateSGD |
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LearningRateSGDNesterov |