Class UpdateMLModelRequest

    • Constructor Detail

      • UpdateMLModelRequest

        public UpdateMLModelRequest()
    • Method Detail

      • setMLModelId

        public void setMLModelId​(String mLModelId)

        The ID assigned to the MLModel during creation.

        Parameters:
        mLModelId - The ID assigned to the MLModel during creation.
      • getMLModelId

        public String getMLModelId()

        The ID assigned to the MLModel during creation.

        Returns:
        The ID assigned to the MLModel during creation.
      • withMLModelId

        public UpdateMLModelRequest withMLModelId​(String mLModelId)

        The ID assigned to the MLModel during creation.

        Parameters:
        mLModelId - The ID assigned to the MLModel during creation.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • setMLModelName

        public void setMLModelName​(String mLModelName)

        A user-supplied name or description of the MLModel.

        Parameters:
        mLModelName - A user-supplied name or description of the MLModel.
      • getMLModelName

        public String getMLModelName()

        A user-supplied name or description of the MLModel.

        Returns:
        A user-supplied name or description of the MLModel.
      • withMLModelName

        public UpdateMLModelRequest withMLModelName​(String mLModelName)

        A user-supplied name or description of the MLModel.

        Parameters:
        mLModelName - A user-supplied name or description of the MLModel.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • setScoreThreshold

        public void setScoreThreshold​(Float scoreThreshold)

        The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

        Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

        Parameters:
        scoreThreshold - The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

        Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

      • getScoreThreshold

        public Float getScoreThreshold()

        The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

        Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

        Returns:
        The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

        Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

      • withScoreThreshold

        public UpdateMLModelRequest withScoreThreshold​(Float scoreThreshold)

        The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

        Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

        Parameters:
        scoreThreshold - The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

        Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.

        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • toString

        public String toString()
        Returns a string representation of this object; useful for testing and debugging.
        Overrides:
        toString in class Object
        Returns:
        A string representation of this object.
        See Also:
        Object.toString()
      • hashCode

        public int hashCode()
        Overrides:
        hashCode in class Object