I am new to SAS enterprise miner and I have only been using the Model tab for model building such as Cluster,Decicion tree and Regression.
I have seen the HPDM Tab and it contains HP CLuster,HP Regression etc
My question is;what is the diference between cluster node and HPCluster node,or difference between Regression node and HP REGRESSION.
I'm a data mining novice self learning,detail and easy to understand explanation is much welcome..
Thanks
SAS Enterprise Miner High Performance (HP) data mining nodes have been specially developed to take advantage of parallel processing in both multithreaded single-machine mode and distributed multiple-machine mode. This is useful with large data sets and data stores. Note that these nodes aren't necessarily a full replacement for their non-HP counterparts, and that there are some nodes that only exist in HPDM, for example: HP Bayesian Network Classifier, HP Forest, and HP GLM. Here is information about the individual procedures:
And see the Enterprise Miner Reference Help for more informationa about the individual HPDM nodes.
SAS Enterprise Miner High Performance (HP) data mining nodes have been specially developed to take advantage of parallel processing in both multithreaded single-machine mode and distributed multiple-machine mode. This is useful with large data sets and data stores. Note that these nodes aren't necessarily a full replacement for their non-HP counterparts, and that there are some nodes that only exist in HPDM, for example: HP Bayesian Network Classifier, HP Forest, and HP GLM. Here is information about the individual procedures:
And see the Enterprise Miner Reference Help for more informationa about the individual HPDM nodes.
Also - be sure to check out Radhikha Myneni's excellent overview of HPDM in a series of tips starting with https://communities.sas.com/t5/SAS-Communities-Library/SAS-High-Performance-Analytics-tip-1-How-it-d...
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