Random variable transformations (contrib)

Bijector Ops.

An API for invertible, differentiable transformations of random variables.

Background

Differentiable, bijective transformations of continuous random variables alter the calculations made in the cumulative/probability distribution functions and sample function. This module provides a standard interface for making these manipulations.

For more details and examples, see the Bijector docstring.

To apply a Bijector, use distributions.TransformedDistribution.

Bijectors

• tf.contrib.distributions.bijectors.Affine
• tf.contrib.distributions.bijectors.AffineLinearOperator
• tf.contrib.distributions.bijectors.Bijector
• tf.contrib.distributions.bijectors.Chain
• tf.contrib.distributions.bijectors.CholeskyOuterProduct
• tf.contrib.distributions.bijectors.Exp
• tf.contrib.distributions.bijectors.Identity
• tf.contrib.distributions.bijectors.Inline
• tf.contrib.distributions.bijectors.Invert
• tf.contrib.distributions.bijectors.PowerTransform
• tf.contrib.distributions.bijectors.SigmoidCentered
• tf.contrib.distributions.bijectors.SoftmaxCentered
• tf.contrib.distributions.bijectors.Softplus