ImageModelDistributionSettingsObjectDetection.yml

### YamlMime:TSType
name: ImageModelDistributionSettingsObjectDetection
uid: '@azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection'
package: '@azure/arm-machinelearning'
summary: >-
  Distribution expressions to sweep over values of model settings.

  <example>

  Some examples are:

  <code>

  ModelName = "choice('seresnext', 'resnest50')";

  LearningRate = "uniform(0.001, 0.01)";

  LayersToFreeze = "choice(0, 2)";

  </code></example>

  For more details on how to compose distribution expressions please check the
  documentation:

  https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters

  For more information on the available settings please visit the official
  documentation:

  https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
fullName: ImageModelDistributionSettingsObjectDetection
remarks: ''
isDeprecated: false
type: interface
properties:
  - name: boxDetectionsPerImage
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.boxDetectionsPerImage
    package: '@azure/arm-machinelearning'
    summary: >-
      Maximum number of detections per image, for all classes. Must be a
      positive integer.

      Note: This settings is not supported for the 'yolov5' algorithm.
    fullName: boxDetectionsPerImage
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'boxDetectionsPerImage?: string'
      return:
        description: ''
        type: string
  - name: boxScoreThreshold
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.boxScoreThreshold
    package: '@azure/arm-machinelearning'
    summary: >-
      During inference, only return proposals with a classification score
      greater than

      BoxScoreThreshold. Must be a float in the range[0, 1].
    fullName: boxScoreThreshold
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'boxScoreThreshold?: string'
      return:
        description: ''
        type: string
  - name: imageSize
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.imageSize
    package: '@azure/arm-machinelearning'
    summary: |-
      Image size for train and validation. Must be a positive integer.
      Note: The training run may get into CUDA OOM if the size is too big.
      Note: This settings is only supported for the 'yolov5' algorithm.
    fullName: imageSize
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'imageSize?: string'
      return:
        description: ''
        type: string
  - name: maxSize
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.maxSize
    package: '@azure/arm-machinelearning'
    summary: >-
      Maximum size of the image to be rescaled before feeding it to the
      backbone.

      Must be a positive integer. Note: training run may get into CUDA OOM if
      the size is too big.

      Note: This settings is not supported for the 'yolov5' algorithm.
    fullName: maxSize
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'maxSize?: string'
      return:
        description: ''
        type: string
  - name: minSize
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.minSize
    package: '@azure/arm-machinelearning'
    summary: >-
      Minimum size of the image to be rescaled before feeding it to the
      backbone.

      Must be a positive integer. Note: training run may get into CUDA OOM if
      the size is too big.

      Note: This settings is not supported for the 'yolov5' algorithm.
    fullName: minSize
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'minSize?: string'
      return:
        description: ''
        type: string
  - name: modelSize
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.modelSize
    package: '@azure/arm-machinelearning'
    summary: |-
      Model size. Must be 'small', 'medium', 'large', or 'xlarge'.
      Note: training run may get into CUDA OOM if the model size is too big.
      Note: This settings is only supported for the 'yolov5' algorithm.
    fullName: modelSize
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'modelSize?: string'
      return:
        description: ''
        type: string
  - name: multiScale
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.multiScale
    package: '@azure/arm-machinelearning'
    summary: |-
      Enable multi-scale image by varying image size by +/- 50%.
      Note: training run may get into CUDA OOM if no sufficient GPU memory.
      Note: This settings is only supported for the 'yolov5' algorithm.
    fullName: multiScale
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'multiScale?: string'
      return:
        description: ''
        type: string
  - name: nmsIouThreshold
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.nmsIouThreshold
    package: '@azure/arm-machinelearning'
    summary: >-
      IOU threshold used during inference in NMS post processing. Must be float
      in the range [0, 1].
    fullName: nmsIouThreshold
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'nmsIouThreshold?: string'
      return:
        description: ''
        type: string
  - name: tileGridSize
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.tileGridSize
    package: '@azure/arm-machinelearning'
    summary: >-
      The grid size to use for tiling each image. Note: TileGridSize must not be

      None to enable small object detection logic. A string containing two
      integers in mxn format.

      Note: This settings is not supported for the 'yolov5' algorithm.
    fullName: tileGridSize
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'tileGridSize?: string'
      return:
        description: ''
        type: string
  - name: tileOverlapRatio
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.tileOverlapRatio
    package: '@azure/arm-machinelearning'
    summary: >-
      Overlap ratio between adjacent tiles in each dimension. Must be float in
      the range [0, 1).

      Note: This settings is not supported for the 'yolov5' algorithm.
    fullName: tileOverlapRatio
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'tileOverlapRatio?: string'
      return:
        description: ''
        type: string
  - name: tilePredictionsNmsThreshold
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.tilePredictionsNmsThreshold
    package: '@azure/arm-machinelearning'
    summary: >-
      The IOU threshold to use to perform NMS while merging predictions from
      tiles and image.

      Used in validation/ inference. Must be float in the range [0, 1].

      Note: This settings is not supported for the 'yolov5' algorithm.

      NMS: Non-maximum suppression
    fullName: tilePredictionsNmsThreshold
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'tilePredictionsNmsThreshold?: string'
      return:
        description: ''
        type: string
  - name: validationIouThreshold
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.validationIouThreshold
    package: '@azure/arm-machinelearning'
    summary: >-
      IOU threshold to use when computing validation metric. Must be float in
      the range [0, 1].
    fullName: validationIouThreshold
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'validationIouThreshold?: string'
      return:
        description: ''
        type: string
  - name: validationMetricType
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.validationMetricType
    package: '@azure/arm-machinelearning'
    summary: >-
      Metric computation method to use for validation metrics. Must be 'none',
      'coco', 'voc', or 'coco_voc'.
    fullName: validationMetricType
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'validationMetricType?: string'
      return:
        description: ''
        type: string
inheritedProperties:
  - name: amsGradient
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.amsGradient
    package: '@azure/arm-machinelearning'
    summary: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
    fullName: amsGradient
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'amsGradient?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.amsGradient](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.amsGradient)
  - name: augmentations
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.augmentations
    package: '@azure/arm-machinelearning'
    summary: Settings for using Augmentations.
    fullName: augmentations
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'augmentations?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.augmentations](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.augmentations)
  - name: beta1
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.beta1
    package: '@azure/arm-machinelearning'
    summary: >-
      Value of 'beta1' when optimizer is 'adam' or 'adamw'. Must be a float in
      the range [0, 1].
    fullName: beta1
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'beta1?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.beta1](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.beta1)
  - name: beta2
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.beta2
    package: '@azure/arm-machinelearning'
    summary: >-
      Value of 'beta2' when optimizer is 'adam' or 'adamw'. Must be a float in
      the range [0, 1].
    fullName: beta2
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'beta2?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.beta2](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.beta2)
  - name: distributed
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.distributed
    package: '@azure/arm-machinelearning'
    summary: Whether to use distributer training.
    fullName: distributed
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'distributed?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.distributed](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.distributed)
  - name: earlyStopping
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.earlyStopping
    package: '@azure/arm-machinelearning'
    summary: Enable early stopping logic during training.
    fullName: earlyStopping
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'earlyStopping?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.earlyStopping](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.earlyStopping)
  - name: earlyStoppingDelay
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.earlyStoppingDelay
    package: '@azure/arm-machinelearning'
    summary: >-
      Minimum number of epochs or validation evaluations to wait before primary
      metric improvement

      is tracked for early stopping. Must be a positive integer.
    fullName: earlyStoppingDelay
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'earlyStoppingDelay?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.earlyStoppingDelay](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.earlyStoppingDelay)
  - name: earlyStoppingPatience
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.earlyStoppingPatience
    package: '@azure/arm-machinelearning'
    summary: >-
      Minimum number of epochs or validation evaluations with no primary metric
      improvement before

      the run is stopped. Must be a positive integer.
    fullName: earlyStoppingPatience
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'earlyStoppingPatience?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.earlyStoppingPatience](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.earlyStoppingPatience)
  - name: enableOnnxNormalization
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.enableOnnxNormalization
    package: '@azure/arm-machinelearning'
    summary: Enable normalization when exporting ONNX model.
    fullName: enableOnnxNormalization
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'enableOnnxNormalization?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.enableOnnxNormalization](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.enableOnnxNormalization)
  - name: evaluationFrequency
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.evaluationFrequency
    package: '@azure/arm-machinelearning'
    summary: >-
      Frequency to evaluate validation dataset to get metric scores. Must be a
      positive integer.
    fullName: evaluationFrequency
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'evaluationFrequency?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.evaluationFrequency](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.evaluationFrequency)
  - name: gradientAccumulationStep
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.gradientAccumulationStep
    package: '@azure/arm-machinelearning'
    summary: >-
      Gradient accumulation means running a configured number of
      "GradAccumulationStep" steps without

      updating the model weights while accumulating the gradients of those
      steps, and then using

      the accumulated gradients to compute the weight updates. Must be a
      positive integer.
    fullName: gradientAccumulationStep
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'gradientAccumulationStep?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.gradientAccumulationStep](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.gradientAccumulationStep)
  - name: layersToFreeze
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.layersToFreeze
    package: '@azure/arm-machinelearning'
    summary: >-
      Number of layers to freeze for the model. Must be a positive integer.

      For instance, passing 2 as value for 'seresnext' means

      freezing layer0 and layer1. For a full list of models supported and
      details on layer freeze, please

      see:
      https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
    fullName: layersToFreeze
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'layersToFreeze?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.layersToFreeze](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.layersToFreeze)
  - name: learningRate
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.learningRate
    package: '@azure/arm-machinelearning'
    summary: Initial learning rate. Must be a float in the range [0, 1].
    fullName: learningRate
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'learningRate?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.learningRate](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.learningRate)
  - name: learningRateScheduler
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.learningRateScheduler
    package: '@azure/arm-machinelearning'
    summary: Type of learning rate scheduler. Must be 'warmup_cosine' or 'step'.
    fullName: learningRateScheduler
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'learningRateScheduler?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.learningRateScheduler](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.learningRateScheduler)
  - name: modelName
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.modelName
    package: '@azure/arm-machinelearning'
    summary: >-
      Name of the model to use for training.

      For more information on the available models please visit the official
      documentation:

      https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
    fullName: modelName
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'modelName?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.modelName](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.modelName)
  - name: momentum
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.momentum
    package: '@azure/arm-machinelearning'
    summary: >-
      Value of momentum when optimizer is 'sgd'. Must be a float in the range
      [0, 1].
    fullName: momentum
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'momentum?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.momentum](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.momentum)
  - name: nesterov
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.nesterov
    package: '@azure/arm-machinelearning'
    summary: Enable nesterov when optimizer is 'sgd'.
    fullName: nesterov
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'nesterov?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.nesterov](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.nesterov)
  - name: numberOfEpochs
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.numberOfEpochs
    package: '@azure/arm-machinelearning'
    summary: Number of training epochs. Must be a positive integer.
    fullName: numberOfEpochs
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'numberOfEpochs?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.numberOfEpochs](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.numberOfEpochs)
  - name: numberOfWorkers
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.numberOfWorkers
    package: '@azure/arm-machinelearning'
    summary: Number of data loader workers. Must be a non-negative integer.
    fullName: numberOfWorkers
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'numberOfWorkers?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.numberOfWorkers](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.numberOfWorkers)
  - name: optimizer
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.optimizer
    package: '@azure/arm-machinelearning'
    summary: Type of optimizer. Must be either 'sgd', 'adam', or 'adamw'.
    fullName: optimizer
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'optimizer?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.optimizer](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.optimizer)
  - name: randomSeed
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.randomSeed
    package: '@azure/arm-machinelearning'
    summary: Random seed to be used when using deterministic training.
    fullName: randomSeed
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'randomSeed?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.randomSeed](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.randomSeed)
  - name: stepLRGamma
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.stepLRGamma
    package: '@azure/arm-machinelearning'
    summary: >-
      Value of gamma when learning rate scheduler is 'step'. Must be a float in
      the range [0, 1].
    fullName: stepLRGamma
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'stepLRGamma?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.stepLRGamma](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.stepLRGamma)
  - name: stepLRStepSize
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.stepLRStepSize
    package: '@azure/arm-machinelearning'
    summary: >-
      Value of step size when learning rate scheduler is 'step'. Must be a
      positive integer.
    fullName: stepLRStepSize
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'stepLRStepSize?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.stepLRStepSize](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.stepLRStepSize)
  - name: trainingBatchSize
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.trainingBatchSize
    package: '@azure/arm-machinelearning'
    summary: Training batch size. Must be a positive integer.
    fullName: trainingBatchSize
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'trainingBatchSize?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.trainingBatchSize](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.trainingBatchSize)
  - name: validationBatchSize
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.validationBatchSize
    package: '@azure/arm-machinelearning'
    summary: Validation batch size. Must be a positive integer.
    fullName: validationBatchSize
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'validationBatchSize?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.validationBatchSize](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.validationBatchSize)
  - name: warmupCosineLRCycles
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.warmupCosineLRCycles
    package: '@azure/arm-machinelearning'
    summary: >-
      Value of cosine cycle when learning rate scheduler is 'warmup_cosine'.
      Must be a float in the range [0, 1].
    fullName: warmupCosineLRCycles
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'warmupCosineLRCycles?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.warmupCosineLRCycles](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.warmupCosineLRCycles)
  - name: warmupCosineLRWarmupEpochs
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.warmupCosineLRWarmupEpochs
    package: '@azure/arm-machinelearning'
    summary: >-
      Value of warmup epochs when learning rate scheduler is 'warmup_cosine'.
      Must be a positive integer.
    fullName: warmupCosineLRWarmupEpochs
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'warmupCosineLRWarmupEpochs?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.warmupCosineLRWarmupEpochs](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.warmupCosineLRWarmupEpochs)
  - name: weightDecay
    uid: >-
      @azure/arm-machinelearning.ImageModelDistributionSettingsObjectDetection.weightDecay
    package: '@azure/arm-machinelearning'
    summary: >-
      Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'. Must be
      a float in the range[0, 1].
    fullName: weightDecay
    remarks: ''
    isDeprecated: false
    syntax:
      content: 'weightDecay?: string'
      return:
        description: ''
        type: string
    inheritanceDescription: >-
      <b>Inherited From</b>
      [ImageModelDistributionSettings.weightDecay](xref:@azure/arm-machinelearning.ImageModelDistributionSettings.weightDecay)
extends: <xref uid="@azure/arm-machinelearning.ImageModelDistributionSettings" />