Image
constructor(advancedSettings: Output<String>? = null, amsGradient: Output<Boolean>? = null, augmentations: Output<String>? = null, beta1: Output<Double>? = null, beta2: Output<Double>? = null, boxDetectionsPerImage: Output<Int>? = null, boxScoreThreshold: Output<Double>? = null, checkpointFrequency: Output<Int>? = null, checkpointModel: Output<MLFlowModelJobInputArgs>? = null, checkpointRunId: Output<String>? = null, distributed: Output<Boolean>? = null, earlyStopping: Output<Boolean>? = null, earlyStoppingDelay: Output<Int>? = null, earlyStoppingPatience: Output<Int>? = null, enableOnnxNormalization: Output<Boolean>? = null, evaluationFrequency: Output<Int>? = null, gradientAccumulationStep: Output<Int>? = null, imageSize: Output<Int>? = null, layersToFreeze: Output<Int>? = null, learningRate: Output<Double>? = null, learningRateScheduler: Output<Either<String, LearningRateScheduler>>? = null, maxSize: Output<Int>? = null, minSize: Output<Int>? = null, modelName: Output<String>? = null, modelSize: Output<Either<String, ModelSize>>? = null, momentum: Output<Double>? = null, multiScale: Output<Boolean>? = null, nesterov: Output<Boolean>? = null, nmsIouThreshold: Output<Double>? = null, numberOfEpochs: Output<Int>? = null, numberOfWorkers: Output<Int>? = null, optimizer: Output<Either<String, StochasticOptimizer>>? = null, randomSeed: Output<Int>? = null, stepLRGamma: Output<Double>? = null, stepLRStepSize: Output<Int>? = null, tileGridSize: Output<String>? = null, tileOverlapRatio: Output<Double>? = null, tilePredictionsNmsThreshold: Output<Double>? = null, trainingBatchSize: Output<Int>? = null, validationBatchSize: Output<Int>? = null, validationIouThreshold: Output<Double>? = null, validationMetricType: Output<Either<String, ValidationMetricType>>? = null, warmupCosineLRCycles: Output<Double>? = null, warmupCosineLRWarmupEpochs: Output<Int>? = null, weightDecay: Output<Double>? = null)