The HPCOUNTREG Procedure
The HPCOUNTREG procedure estimates the parameters of a count regression model by maximum likelihood techniques. The following list summarizes some basic features of the HPCOUNTREG procedure:
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can perform analysis on a massively parallel high-performance appliance
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reads input data in parallel and writes output data in parallel when the data source is the appliance database
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is highly multithreaded during all phases of analytic execution
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performs maximum likelihood estimation
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supports multiple link functions
The HPCOUNTREG procedure does not support the CLASS statement.