Building Data Mining Tools Using JDM - Java Data Mining: Strategy, Standard, and Practice - page 361

This closes the section using the information entered by the user
in the graphical interface to create the necessary build settings.

56. VerificationReport lVerifBS lBuildSettings.verify();

57. if (lVerifBS ! null) {

58. displayLongMessage(this, "Wrong Settings",

59. lVerifBS.getReportText(), 0);

60. return;

61. }

The BuildSettings object is verified through the preceding code. If
the user-provided values are not compatible with the selected mining
function (for example, selecting a continuous attribute as the target
for a classification model), we expect the DME implementation to
provide a meaningful error report. We then save the build settings
and execute the task.

62. ExecutionHandle lBuildHandle

63. saveBuildSettingsAndExecuteTask(

64. lFunctionNameShort,

65. lDSName,

66. lBuildSettings);

67. if (lBuildHandle null) {

68. return;

69. }

70. boolean lTaskSucceed monitorTaskExecution(lBuildHandle);

71. // Check success/error

72. if (lTaskSucceed) {

73. JOptionPane.showMessageDialog(this, "Execution Successful");

74. } else {

75. JOptionPane.showMessageDialog(this,

76. "Execution failed: "

77. lBuildHandle.getLatestStatus().getState().name() " ["

78. lBuildHandle.getLatestStatus().getDescription() "]");

79. }

The code above reuses the same method to monitor the build task
execution that we used to monitor the execution of the Compute-
StatisticsTask .
Finally, the last section deals with the eventual exceptions that
may be raised in the process.

80. } catch (InvalidURIException lInvalidURIException) {

81. JOptionPane.showMessageDialog(this,