Sample Selector

This operator connects to a preceding Random Sampling operator and allows you to specify one of the sample data sets (training or testing) generated from that operator for use in succeeding operators.

Information at a Glance

Note: This operator can only be used with TIBCO® Data Virtualization and Apache Spark 3.2 or later.

Parameter	Description
Category	Sample
Data source type	TIBCO® Data Virtualization
Send output to other operators	Yes
Data processing tool	TIBCO® DV, Apache Spark 3.2 or later

Algorithm

This operator connects to a preceding Random Sampling operator and you can select the training or the testing data sets generated from that operator for use in succeeding operators.

Input

An input is a sample generating operator, such as the Random Sampling operator.

Configuration

Parameter	Description
Notes	Notes or helpful information about this operator's parameter settings. When you enter content in the Notes field, a yellow asterisk appears on the operator.
Selected Sample	Select the samples as database tables or views from the preceding Random Sampling operator.

Output

Visual Output

The data rows of the selected data sample table or view are displayed.

Output to successive operators

A table output that is used by a downstream operator. The column structure (schema) is generated after running this operator.

Note: Run this operator before running a downstream operator.

Example

The following example demonstrates the use of the Sample Selector operator to select the training and testing data sets generated by the Random Sampling operator.

Data

golf: This data set contains the following information:

Multiple columns namely outlook, temperature, wind, humidity, and play.
Multiple rows (14 rows).

Parameter Setting

The parameter settings for the golf data set is as follows:

Selected Sample: Sample 1 (80%)

Output

The following figure displays the output for the parameter settings for the golf data set.

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