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# MLCOptimizer

The base class for all framework optimizers.

```
class MLCOptimizer
```

## Topics

### Inspecting an Optimizer

[`learningRate`](/documentation/MLCompute/MLCOptimizer/learningRate)

The learning rate.

[`gradientRescale`](/documentation/MLCompute/MLCOptimizer/gradientRescale)

The rescale value the optimizer applies to gradients during updates.

[`appliesGradientClipping`](/documentation/MLCompute/MLCOptimizer/appliesGradientClipping)

A Boolean value that indicates whether you apply gradient clipping.

[`gradientClipMax`](/documentation/MLCompute/MLCOptimizer/gradientClipMax)

The maximum gradient value before the optimizer rescales the gradient, if you enable gradient clipping.

[`gradientClipMin`](/documentation/MLCompute/MLCOptimizer/gradientClipMin)

The minimum gradient value before the optimizer rescales the gradient, if you enable gradient clipping.

[`regularizationScale`](/documentation/MLCompute/MLCOptimizer/regularizationScale)

The regularization scale.

[`regularizationType`](/documentation/MLCompute/MLCOptimizer/regularizationType)

The regularization type.

[`gradientClippingType`](/documentation/MLCompute/MLCOptimizer/gradientClippingType)

The type of clipping the system applies to the gradient.

[`MLCGradientClippingType`](/documentation/MLCompute/MLCGradientClippingType)

A clipping type the system applies to a gradient.

[`maximumClippingNorm`](/documentation/MLCompute/MLCOptimizer/maximumClippingNorm)

The maximum clipping value.

[`customGlobalNorm`](/documentation/MLCompute/MLCOptimizer/customGlobalNorm)

A custom norm the system uses in place of the global norm.


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