After you have found a well performing machine learning model and tuned it, you must finalize your model so that you can make predictions on new data. In this post you will discover how to finalize your machine learning model, save it to file and load it later in order to make predictions on new data. GROUP:HasAttribute(attribute, all) Check if at least one (or all) unit(s) has (have) a certain attribute. GROUP:InAir() Returns true if the first unit of the GROUP is in the air. GROUP.InitCoord. GROUP:InitCoordinate(coordinate) Set respawn coordinate. GROUP:InitHeading(Heading) Set the heading for the units in degrees within the respawned group.
The waitForObject function waits for the identified object to be ready (visible and enabled) and then returns a reference to it.. On the whole it is best to use symbolic names since they are more robust in the face of AUT changes, since they only require us to update the Object Map (Section 7.11) rather than our test script code if an object's properties change. If the cast-function is BLOB, the length attribute must be at least 8 bytes. CURRENT SCHEMA Specifies the value of the CURRENT SCHEMA special register. The data type of the source type of the distinct type of the column must be a character string with a length greater than or equal to the length attribute of the CURRENT SCHEMA special register.
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