Memory Requirements for the Salford Predictive Modeler software suite
A user's license sets a limit on the amount of learn sample data that can be analyzed. The learn sample is the data used to build the model. Note that there is no limit to the number of test sample data points that may be analyzed. In other words, rows -by- columns of variable and observations used to build the model. Variable not used in the model do not count. Observations reserved for testing, or excluded for other reasons, do not count.
For example, suppose our 32MB version that set a learn sample limitation of 8 MB. Each data point occupies 4 bytes. For instance, a 8MB license will allow up to 8 * 1024 * 1024 / 4 = 2,097,152 learn sample data points to be analyzed. A data point is a represented by a 1-variable by- 1-observation (1-row by-1-column).
The following is a table that describes the current set of "sizes" available. Please note that the minimum required RAM is **not** the same as the learn sample limitation.
Size = minimum required physical memory (RAM) in MB.
Data Limit MB = Licensed learn sample data size in MB (1 MB = 1,048,576 bytes)
Data Limit # of values = Licensed # of learn sample values (rows by columns)
|Size||Data Limit||Data Limit|
|MB||(MB)||# of values|
|2048||800||209,715,200||** 64-bit only|
|3072||1200||419,430,400||** 64-bit only|
Additional larger capacity is available under 64-bit operating systems, using our non-GUI (command-line) builds. The non-GUI is very flexible and can be licensed for any data limit. The current MAXIMUM is 8-GIG data capacity.