Interface Transformer

Applies additional transform processing on data for InputPlaceholders and OutputPlaceholders used with MLComponent. For more information, see the MLComponent Overview.

Example

var transformer = MachineLearning.createTransformerBuilder()
    .setVerticalAlignment(VerticalAlignment.Center)
    .setHorizontalAlignment(HorizontalAlignment.Center)
    .setRotation(TransformerRotation.Rotate180)
    .setFillColor(new vec4(0, 0, 0, 1))
    .build();

var outputBuilder = MachineLearning.createOutputBuilder();
outputBuilder.setName("probs");
outputBuilder.setShape(new vec3(1, 1, 200));
outputBuilder.setOutputMode(MachineLearning.OutputMode.Data);
outputBuilder.setTransformer(transformer);
var outputPlaceholder = outputBuilder.build();
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//@input Component.MLComponent mlComponent
//@input string outputName


script.mlComponent.onLoadingFinished = onLoadingFinished;

function onLoadingFinished(){
    script.createEvent("UpdateEvent").bind(onUpdate);
}

function onUpdate() {
    var outputTransformer = script.mlComponent.getOutput(script.outputName).transformer;
    if (outputTransformer != null) {
        var transformMatrix = outputTransformer.matrix;
        print(transformMatrix);
    }
}
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