namespace Azure.ResourceManager.MachineLearning.Models
{
    public static class ArmMachineLearningModelFactory
    {
        public static ImageModelSettingsObjectDetection ImageModelSettingsObjectDetection(string advancedSettings = null, bool? amsGradient = default, string augmentations = null, float? beta1 = default, float? beta2 = default, int? checkpointFrequency = default, MachineLearningFlowModelJobInput checkpointModel = null, string checkpointRunId = null, bool? distributed = default, bool? earlyStopping = default, int? earlyStoppingDelay = default, int? earlyStoppingPatience = default, bool? enableOnnxNormalization = default, int? evaluationFrequency = default, int? gradientAccumulationStep = default, int? layersToFreeze = default, float? learningRate = default, LearningRateScheduler? learningRateScheduler = default, string modelName = null, float? momentum = default, bool? nesterov = default, int? numberOfEpochs = default, int? numberOfWorkers = default, StochasticOptimizer? optimizer = default, int? randomSeed = default, float? stepLRGamma = default, int? stepLRStepSize = default, int? trainingBatchSize = default, int? validationBatchSize = default, float? warmupCosineLRCycles = default, int? warmupCosineLRWarmupEpochs = default, float? weightDecay = default, int? boxDetectionsPerImage = default, float? boxScoreThreshold = default, int? imageSize = default, int? maxSize = default, int? minSize = default, MachineLearningModelSize? modelSize = default, bool? multiScale = default, float? nmsIouThreshold = default, string tileGridSize = null, float? tileOverlapRatio = default, float? tilePredictionsNmsThreshold = default, float? validationIouThreshold = default, ValidationMetricType? validationMetricType = default);
    }
}