ModifiedBetaGeoNBDRV

class pymc_marketing.clv.distributions.ModifiedBetaGeoNBDRV(name=None, ndim_supp=None, ndims_params=None, dtype=None, inplace=None, signature=None)

Methods

ModifiedBetaGeoNBDRV.L_op(inputs, outputs, ...)	Construct a graph for the L-operator.
ModifiedBetaGeoNBDRV.R_op(inputs, eval_points)	Construct a graph for the R-operator.
ModifiedBetaGeoNBDRV.__init__([name, ...])	Create a random variable Op.
ModifiedBetaGeoNBDRV.add_tag_trace([user_line])	Add tag.trace to a node or variable.
ModifiedBetaGeoNBDRV.batch_ndim(node)
ModifiedBetaGeoNBDRV.dist_params(node)	Return the node inpust corresponding to dist params
ModifiedBetaGeoNBDRV.do_constant_folding(...)	Determine whether or not constant folding should be performed for the given node.
ModifiedBetaGeoNBDRV.grad(inputs, outputs)	Construct a graph for the gradient with respect to each input variable.
ModifiedBetaGeoNBDRV.infer_shape(fgraph, ...)
ModifiedBetaGeoNBDRV.inplace_on_inputs(...)	Try to return a version of self that tries to inplace in as many as allowed_inplace_inputs.
ModifiedBetaGeoNBDRV.make_node(rng, size, ...)	Create a random variable node.
ModifiedBetaGeoNBDRV.make_py_thunk(node, ...)	Make a Python thunk.
ModifiedBetaGeoNBDRV.make_thunk(node, ...[, ...])	Create a thunk.
ModifiedBetaGeoNBDRV.perform(node, inputs, ...)	Calculate the function on the inputs and put the variables in the output storage.
ModifiedBetaGeoNBDRV.prepare_node(node, ...)	Make any special modifications that the Op needs before doing Op.make_thunk().
ModifiedBetaGeoNBDRV.rng_fn(rng, a, b, r, ...)	Sample a numeric random variate.
ModifiedBetaGeoNBDRV.rng_param(node)	Return the node input corresponding to the rng
ModifiedBetaGeoNBDRV.size_param(node)	Return the node input corresponding to the size

Attributes

default_output	An int that specifies which output Op.__call__() should return.
destroy_map	A dict that maps output indices to the input indices upon which they operate in-place.
dtype
itypes
name
otypes
signature
view_map	A dict that maps output indices to the input indices of which they are a view.