Retail Predictive Application Server (MOSC)

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RDF Causal Data Pooling

in Retail Predictive Application Server (MOSC) Question

When running CausalEstimate i get BufferOverflow warning in a number of causal source levels:

BufferOverflow for group: ArrayKey(scat:1113|5, rgn:4|1, info:info|0), group lost item count: 271

BufferOverflow for group: ArrayKey(scat:1113|5, rgn:2|0, info:info|0), group lost item count: 19

Issue Report  --------------------------------------------------------

Issue: BufferOverflow. Lost: 290 items in 2 groups

As far as i understand, when i have "many" items per calculation group (i.e. when causal source level is set relative high in both PROD and LOC hierarchies), CausalEstimate throws that warning and skips effect calculation.

1. Is any way to control buffer size?

2. What short of limit set internally to throw the warning and skip effect calculation ? i.e number of items/group and points to use?

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