liesel.model.legacy

Imitates the API from v0.1.

Functions

Addition(*inputs[, distribution, name])	A weak variable calculating an element-wise sum.
Bijector(_input, bijector[, inverse, ...])	A weak variable evaluating the forward() or inverse() method of a TFP bijector.
ColumnStack(*inputs[, distribution, name])	A weak variable stacking its inputs column-wise.
DesignMatrix(value[, distribution, name])	A strong variable representing a design matrix.
Hyperparameter(value[, distribution, name])	A strong variable representing a hyperparameter.
InverseLink(_input, bijector[, inverse, ...])	A weak variable representing an inverse link function.
Obs(value[, distribution, name])	Declares an observed variable.
PIT(_input[, distribution, name])	A weak variable evaluating a probability integral transform (PIT).
Param(value[, distribution, name])	Declares a parameter variable.
Parameter(value[, distribution, name])	A strong variable representing a model parameter.
Predictor(*inputs[, distribution, name])	A weak variable representing a regression predictor.
RegressionCoef(value[, distribution, name])	A strong variable representing a vector of regression coefficients.
Response(value[, distribution, name])	A strong variable representing a response vector.
Smooth(x, beta[, distribution, name])	A weak variable calculating the matrix-vector product x @ beta.
SmoothingParam(value[, distribution, name])	A strong variable representing a smoothing parameter.

Classes

PITCalc(_input[, _name, _needs_seed])

A probability integral transform (PIT) calculator node.