Linear sampling: Linear sampling simply divides the ExampleSet into partitions without changing the order of the examples i.e.sampling_typeThe Split Data operator can use several types of sampling for building the subsets.For better understanding of this parameter please study the attached Example Process. The number of required partitions is not explicitly specified by the user because it is calculated automatically by the number of ratios specified in this parameter. The user just requires to specify the ratio of all partitions. It specifies the number of partitions and the relative ratio of each partition. partitionsThis is the most important parameter of this operator.The partitions parameter is used for specifying the desired number of partitions. The number of useful partition ports depends on the number of partitions (or subsets) this operator is configured to produce. This operator can have multiple number of partition ports.
It is the output of the Retrieve operator in the attached Example Process. This operator is different from other sampling and filtering operators in the sense that it is capable of delivering multiple partitions of the given ExampleSet. For more information about this operator please study the parameters section of this description. The sampling type parameter decides how the examples should be shuffled in the resultant partitions. The sum of the ratio of all partitions should be 1. The number of subsets (or partitions) and the relative size of each partition are specified through the partitions parameter. The Split Data operator takes an ExampleSet as its input and delivers the subsets of that ExampleSet through its output ports. The ExampleSet is partitioned into subsets according to the specified relative sizes. SynopsisThis operator produces the desired number of subsets of the given ExampleSet.
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