LoopyBeliefPropagation Input - Teradata Vantage

Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
9.02
9.01
2.0
1.3
Published
February 2022
Language
English (United States)
Last Update
2022-02-10
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dita:id
B700-4003
lifecycle
previous
Product Category
Teradata Vantageā„¢
Table Description
Vertices Each row represents a vertex of the graph. Each vertex represents a variable.

Computational cost for each vertex is exponential in terms of in-degree. If any vertex has an in-degree greater than 20, function may be very slow.

Edges Each row represents an edge of the graph.

If variables are conditionally dependent on each other, their representative vertices are connected by edges.

ObservationTable [Optional] Contains vertices (which represent variables) and observations for observed variables.

Vertices Schema

Column Data Type Description
vertex_key_column INTEGER [Column appears once for each specified vertex_key_column.] All or part of unique vertex key. Cannot be NULL.
accumulate_column Any [Column appears once for each specified accumulate_column.] Column to copy to output table.

Edges Schema

Column Data Type Description
source_vertex_key_column INTEGER Column appears once for each specified source_vertex_key_column.] All or part of key that identifies source vertex of edge. Must be a vertex_key_column in Vertices table. Cannot be NULL.
target_vertex_key_column INTEGER Column appears once for each specified target_vertex_key_column.] All or part of key that identifies target vertex of edge. Must be a vertex_key_column in Vertices table. Cannot be NULL.
edge_weight DOUBLE PRECISION [Required only for weighted graph.] Edge weight. Function uses only positive edge weights. Sum of edge weights that function uses must be 1.

ObservationTable Schema

Column Data Type Description
source_vertex_key_column INTEGER Column appears once for each specified source_vertex_key_column.] All or part of key that identifies source vertex of edge. Must be a vertex_key_column in Vertices table. Cannot be NULL.
observation_column INTEGER Observation for variable represented by vertex: true or false for observed variable, NULL for unobserved variable. True can be represented by 'true', 't', 'yes', 'y', or '1'; false by 'false', 'f', 'no', 'n', or '0' (case-insensitive).