ContNonContractRV#
- class pymc_marketing.clv.distributions.ContNonContractRV(name=None, ndim_supp=None, ndims_params=None, dtype=None, inplace=None)[source]#
Methods
ContNonContractRV.L_op
(inputs, outputs, ...)Construct a graph for the L-operator.
ContNonContractRV.R_op
(inputs, eval_points)Construct a graph for the R-operator.
ContNonContractRV.__init__
([name, ...])Create a random variable
Op
.ContNonContractRV.add_tag_trace
([user_line])Add tag.trace to a node or variable.
Determine whether or not constant folding should be performed for the given node.
ContNonContractRV.grad
(inputs, outputs)Construct a graph for the gradient with respect to each input variable.
ContNonContractRV.infer_shape
(fgraph, node, ...)ContNonContractRV.make_node
(rng, size, ...)Create a random variable node.
ContNonContractRV.make_py_thunk
(node, ...[, ...])Make a Python thunk.
ContNonContractRV.make_thunk
(node, ...[, impl])Create a thunk.
ContNonContractRV.perform
(node, inputs, outputs)Calculate the function on the inputs and put the variables in the output storage.
ContNonContractRV.prepare_node
(node, ...)Make any special modifications that the
Op
needs before doingOp.make_thunk()
.ContNonContractRV.rng_fn
(rng, lam, p, T, size)Sample a numeric random variate.
Attributes
default_output
An
int
that specifies which outputOp.__call__()
should return.destroy_map
A
dict
that maps output indices to the input indices upon which they operate in-place.dtype
itypes
name
ndim_supp
ndims_params
otypes
view_map
A
dict
that maps output indices to the input indices of which they are a view.