Package com.google.cloud.aiplatform.v1beta1

Interface ExplanationMetadata.InputMetadata.VisualizationOrBuilder

    • Method Detail

      • getTypeValue

        int getTypeValue()
         Type of the image visualization. Only applicable to
 [Integrated Gradients
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
 OUTLINES shows regions of attribution, while PIXELS shows per-pixel
 attribution. Defaults to OUTLINES.
        .google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.Type type = 1;
        Returns:
        The enum numeric value on the wire for type.

      • getType

        ExplanationMetadata.InputMetadata.Visualization.Type getType()
         Type of the image visualization. Only applicable to
 [Integrated Gradients
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
 OUTLINES shows regions of attribution, while PIXELS shows per-pixel
 attribution. Defaults to OUTLINES.
        .google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.Type type = 1;
        Returns:
        The type.

      • getPolarityValue

        int getPolarityValue()
         Whether to only highlight pixels with positive contributions, negative
 or both. Defaults to POSITIVE.
        .google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.Polarity polarity = 2;
        Returns:
        The enum numeric value on the wire for polarity.

      • getPolarity

        ExplanationMetadata.InputMetadata.Visualization.Polarity getPolarity()
         Whether to only highlight pixels with positive contributions, negative
 or both. Defaults to POSITIVE.
        .google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.Polarity polarity = 2;
        Returns:
        The polarity.

      • getColorMapValue

        int getColorMapValue()
         The color scheme used for the highlighted areas.

 Defaults to PINK_GREEN for
 [Integrated Gradients
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
 which shows positive attributions in green and negative in pink.

 Defaults to VIRIDIS for
 [XRAI
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
 which highlights the most influential regions in yellow and the least
 influential in blue.
        .google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.ColorMap color_map = 3;
        Returns:
        The enum numeric value on the wire for colorMap.

      • getColorMap

        ExplanationMetadata.InputMetadata.Visualization.ColorMap getColorMap()
         The color scheme used for the highlighted areas.

 Defaults to PINK_GREEN for
 [Integrated Gradients
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
 which shows positive attributions in green and negative in pink.

 Defaults to VIRIDIS for
 [XRAI
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
 which highlights the most influential regions in yellow and the least
 influential in blue.
        .google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.ColorMap color_map = 3;
        Returns:
        The colorMap.

      • getClipPercentUpperbound

        float getClipPercentUpperbound()
         Excludes attributions above the specified percentile from the
 highlighted areas. Using the clip_percent_upperbound and
 clip_percent_lowerbound together can be useful for filtering out noise
 and making it easier to see areas of strong attribution. Defaults to
 99.9.
        float clip_percent_upperbound = 4;
        Returns:
        The clipPercentUpperbound.

      • getClipPercentLowerbound

        float getClipPercentLowerbound()
         Excludes attributions below the specified percentile, from the
 highlighted areas. Defaults to 62.
        float clip_percent_lowerbound = 5;
        Returns:
        The clipPercentLowerbound.

      • getOverlayTypeValue

        int getOverlayTypeValue()
         How the original image is displayed in the visualization.
 Adjusting the overlay can help increase visual clarity if the original
 image makes it difficult to view the visualization. Defaults to NONE.
        .google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.OverlayType overlay_type = 6;
        Returns:
        The enum numeric value on the wire for overlayType.

      • getOverlayType

        ExplanationMetadata.InputMetadata.Visualization.OverlayType getOverlayType()
         How the original image is displayed in the visualization.
 Adjusting the overlay can help increase visual clarity if the original
 image makes it difficult to view the visualization. Defaults to NONE.
        .google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.OverlayType overlay_type = 6;
        Returns:
        The overlayType.