|---| | [ View source on GitHub](https://github.com/tensorflow/probability/blob/v0.25.0/tensorflow_probability/python/math/psd_kernels/__init__.py) | Positive-semidefinite kernels package. ## Classes [`class AutoCompositeTensorPsdKernel`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/AutoCompositeTensorPsdKernel): Abstract base class for positive semi-definite kernel functions. [`class ChangePoint`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/ChangePoint): Changepoint Kernel. [`class Constant`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/Constant): Kernel that just outputs positive constant values. [`class ExpSinSquared`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/ExpSinSquared): Exponentiated Sine Squared Kernel. [`class ExponentialCurve`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/ExponentialCurve): Exponential Curve Kernel. [`class ExponentiatedQuadratic`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/ExponentiatedQuadratic): The ExponentiatedQuadratic kernel. [`class FeatureScaled`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/FeatureScaled): Kernel that first rescales all feature dimensions. [`class FeatureTransformed`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/FeatureTransformed): Input transformed kernel. [`class GammaExponential`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/GammaExponential): The GammaExponential kernel. [`class GeneralizedMatern`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/GeneralizedMatern): Generalized Matern Kernel. [`class KumaraswamyTransformed`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/KumaraswamyTransformed): Transform inputs by Kumaraswamy bijector. [`class Linear`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/Linear): Linear Kernel. [`class MaternFiveHalves`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/MaternFiveHalves): Matern 5/2 Kernel. [`class MaternOneHalf`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/MaternOneHalf): Matern Kernel with parameter 1/2. [`class MaternThreeHalves`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/MaternThreeHalves): Matern Kernel with parameter 3/2. [`class Parabolic`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/Parabolic): The Parabolic kernel. [`class PointwiseExponential`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/PointwiseExponential): Pointwise exponential of a positive semi-definite kernel. [`class Polynomial`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/Polynomial): Polynomial Kernel. [`class PositiveSemidefiniteKernel`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/PositiveSemidefiniteKernel): Abstract base class for positive semi-definite kernel functions. [`class RationalQuadratic`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/RationalQuadratic): RationalQuadratic Kernel. [`class SchurComplement`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/SchurComplement): The SchurComplement kernel. [`class SpectralMixture`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/psd_kernels/SpectralMixture): The SpectralMixture kernel.