Package com.google.cloud.aiplatform.v1beta1

Class XraiAttribution.Builder

  • All Implemented Interfaces:
    XraiAttributionOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
    Enclosing class:
    XraiAttribution
    public static final class XraiAttribution.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<XraiAttribution.Builder>
implements XraiAttributionOrBuilder
     An explanation method that redistributes Integrated Gradients
 attributions to segmented regions, taking advantage of the model's fully
 differentiable structure. Refer to this paper for more details:
 https://arxiv.org/abs/1906.02825

 Supported only by image Models.
    Protobuf type google.cloud.aiplatform.v1beta1.XraiAttribution

    • Method Detail

      • getDescriptor

        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

      • internalGetFieldAccessorTable

        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<XraiAttribution.Builder>

      • clear

        public XraiAttribution.Builder clear()
        Specified by:
        clear in interface com.google.protobuf.Message.Builder
        Specified by:
        clear in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clear in class com.google.protobuf.GeneratedMessageV3.Builder<XraiAttribution.Builder>

      • getDescriptorForType

        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
        Specified by:
        getDescriptorForType in interface com.google.protobuf.Message.Builder
        Specified by:
        getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
        Overrides:
        getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<XraiAttribution.Builder>

      • getDefaultInstanceForType

        public XraiAttribution getDefaultInstanceForType()
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

      • build

        public XraiAttribution build()
        Specified by:
        build in interface com.google.protobuf.Message.Builder
        Specified by:
        build in interface com.google.protobuf.MessageLite.Builder

      • buildPartial

        public XraiAttribution buildPartial()
        Specified by:
        buildPartial in interface com.google.protobuf.Message.Builder
        Specified by:
        buildPartial in interface com.google.protobuf.MessageLite.Builder

      • clone

        public XraiAttribution.Builder clone()
        Specified by:
        clone in interface com.google.protobuf.Message.Builder
        Specified by:
        clone in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clone in class com.google.protobuf.GeneratedMessageV3.Builder<XraiAttribution.Builder>

      • setField

        public XraiAttribution.Builder setField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                        Object value)
        Specified by:
        setField in interface com.google.protobuf.Message.Builder
        Overrides:
        setField in class com.google.protobuf.GeneratedMessageV3.Builder<XraiAttribution.Builder>

      • clearField

        public XraiAttribution.Builder clearField​(com.google.protobuf.Descriptors.FieldDescriptor field)
        Specified by:
        clearField in interface com.google.protobuf.Message.Builder
        Overrides:
        clearField in class com.google.protobuf.GeneratedMessageV3.Builder<XraiAttribution.Builder>

      • clearOneof

        public XraiAttribution.Builder clearOneof​(com.google.protobuf.Descriptors.OneofDescriptor oneof)
        Specified by:
        clearOneof in interface com.google.protobuf.Message.Builder
        Overrides:
        clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<XraiAttribution.Builder>

      • setRepeatedField

        public XraiAttribution.Builder setRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                int index,
                                                Object value)
        Specified by:
        setRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<XraiAttribution.Builder>

      • addRepeatedField

        public XraiAttribution.Builder addRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                Object value)
        Specified by:
        addRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<XraiAttribution.Builder>

      • mergeFrom

        public XraiAttribution.Builder mergeFrom​(com.google.protobuf.Message other)
        Specified by:
        mergeFrom in interface com.google.protobuf.Message.Builder
        Overrides:
        mergeFrom in class com.google.protobuf.AbstractMessage.Builder<XraiAttribution.Builder>

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<XraiAttribution.Builder>

      • mergeFrom

        public XraiAttribution.Builder mergeFrom​(com.google.protobuf.CodedInputStream input,
                                         com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                  throws IOException
        Specified by:
        mergeFrom in interface com.google.protobuf.Message.Builder
        Specified by:
        mergeFrom in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        mergeFrom in class com.google.protobuf.AbstractMessage.Builder<XraiAttribution.Builder>
        Throws:
        IOException

      • getStepCount

        public int getStepCount()
         Required. The number of steps for approximating the path integral.
 A good value to start is 50 and gradually increase until the
 sum to diff property is met within the desired error range.

 Valid range of its value is [1, 100], inclusively.
        int32 step_count = 1 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        getStepCount in interface XraiAttributionOrBuilder
        Returns:
        The stepCount.

      • setStepCount

        public XraiAttribution.Builder setStepCount​(int value)
         Required. The number of steps for approximating the path integral.
 A good value to start is 50 and gradually increase until the
 sum to diff property is met within the desired error range.

 Valid range of its value is [1, 100], inclusively.
        int32 step_count = 1 [(.google.api.field_behavior) = REQUIRED];
        Parameters:
        value - The stepCount to set.
        Returns:
        This builder for chaining.

      • clearStepCount

        public XraiAttribution.Builder clearStepCount()
         Required. The number of steps for approximating the path integral.
 A good value to start is 50 and gradually increase until the
 sum to diff property is met within the desired error range.

 Valid range of its value is [1, 100], inclusively.
        int32 step_count = 1 [(.google.api.field_behavior) = REQUIRED];
        Returns:
        This builder for chaining.

      • hasSmoothGradConfig

        public boolean hasSmoothGradConfig()
         Config for SmoothGrad approximation of gradients.

 When enabled, the gradients are approximated by averaging the gradients
 from noisy samples in the vicinity of the inputs. Adding
 noise can help improve the computed gradients. Refer to this paper for more
 details: https://arxiv.org/pdf/1706.03825.pdf
        .google.cloud.aiplatform.v1beta1.SmoothGradConfig smooth_grad_config = 2;
        Specified by:
        hasSmoothGradConfig in interface XraiAttributionOrBuilder
        Returns:
        Whether the smoothGradConfig field is set.

      • getSmoothGradConfig

        public SmoothGradConfig getSmoothGradConfig()
         Config for SmoothGrad approximation of gradients.

 When enabled, the gradients are approximated by averaging the gradients
 from noisy samples in the vicinity of the inputs. Adding
 noise can help improve the computed gradients. Refer to this paper for more
 details: https://arxiv.org/pdf/1706.03825.pdf
        .google.cloud.aiplatform.v1beta1.SmoothGradConfig smooth_grad_config = 2;
        Specified by:
        getSmoothGradConfig in interface XraiAttributionOrBuilder
        Returns:
        The smoothGradConfig.

      • setSmoothGradConfig

        public XraiAttribution.Builder setSmoothGradConfig​(SmoothGradConfig value)
         Config for SmoothGrad approximation of gradients.

 When enabled, the gradients are approximated by averaging the gradients
 from noisy samples in the vicinity of the inputs. Adding
 noise can help improve the computed gradients. Refer to this paper for more
 details: https://arxiv.org/pdf/1706.03825.pdf
        .google.cloud.aiplatform.v1beta1.SmoothGradConfig smooth_grad_config = 2;

      • setSmoothGradConfig

        public XraiAttribution.Builder setSmoothGradConfig​(SmoothGradConfig.Builder builderForValue)
         Config for SmoothGrad approximation of gradients.

 When enabled, the gradients are approximated by averaging the gradients
 from noisy samples in the vicinity of the inputs. Adding
 noise can help improve the computed gradients. Refer to this paper for more
 details: https://arxiv.org/pdf/1706.03825.pdf
        .google.cloud.aiplatform.v1beta1.SmoothGradConfig smooth_grad_config = 2;

      • mergeSmoothGradConfig

        public XraiAttribution.Builder mergeSmoothGradConfig​(SmoothGradConfig value)
         Config for SmoothGrad approximation of gradients.

 When enabled, the gradients are approximated by averaging the gradients
 from noisy samples in the vicinity of the inputs. Adding
 noise can help improve the computed gradients. Refer to this paper for more
 details: https://arxiv.org/pdf/1706.03825.pdf
        .google.cloud.aiplatform.v1beta1.SmoothGradConfig smooth_grad_config = 2;

      • clearSmoothGradConfig

        public XraiAttribution.Builder clearSmoothGradConfig()
         Config for SmoothGrad approximation of gradients.

 When enabled, the gradients are approximated by averaging the gradients
 from noisy samples in the vicinity of the inputs. Adding
 noise can help improve the computed gradients. Refer to this paper for more
 details: https://arxiv.org/pdf/1706.03825.pdf
        .google.cloud.aiplatform.v1beta1.SmoothGradConfig smooth_grad_config = 2;

      • getSmoothGradConfigBuilder

        public SmoothGradConfig.Builder getSmoothGradConfigBuilder()
         Config for SmoothGrad approximation of gradients.

 When enabled, the gradients are approximated by averaging the gradients
 from noisy samples in the vicinity of the inputs. Adding
 noise can help improve the computed gradients. Refer to this paper for more
 details: https://arxiv.org/pdf/1706.03825.pdf
        .google.cloud.aiplatform.v1beta1.SmoothGradConfig smooth_grad_config = 2;

      • getSmoothGradConfigOrBuilder

        public SmoothGradConfigOrBuilder getSmoothGradConfigOrBuilder()
         Config for SmoothGrad approximation of gradients.

 When enabled, the gradients are approximated by averaging the gradients
 from noisy samples in the vicinity of the inputs. Adding
 noise can help improve the computed gradients. Refer to this paper for more
 details: https://arxiv.org/pdf/1706.03825.pdf
        .google.cloud.aiplatform.v1beta1.SmoothGradConfig smooth_grad_config = 2;
        Specified by:
        getSmoothGradConfigOrBuilder in interface XraiAttributionOrBuilder

      • hasBlurBaselineConfig

        public boolean hasBlurBaselineConfig()
         Config for XRAI with blur baseline.

 When enabled, a linear path from the maximally blurred image to the input
 image is created. Using a blurred baseline instead of zero (black image) is
 motivated by the BlurIG approach explained here:
 https://arxiv.org/abs/2004.03383
        .google.cloud.aiplatform.v1beta1.BlurBaselineConfig blur_baseline_config = 3;
        Specified by:
        hasBlurBaselineConfig in interface XraiAttributionOrBuilder
        Returns:
        Whether the blurBaselineConfig field is set.

      • getBlurBaselineConfig

        public BlurBaselineConfig getBlurBaselineConfig()
         Config for XRAI with blur baseline.

 When enabled, a linear path from the maximally blurred image to the input
 image is created. Using a blurred baseline instead of zero (black image) is
 motivated by the BlurIG approach explained here:
 https://arxiv.org/abs/2004.03383
        .google.cloud.aiplatform.v1beta1.BlurBaselineConfig blur_baseline_config = 3;
        Specified by:
        getBlurBaselineConfig in interface XraiAttributionOrBuilder
        Returns:
        The blurBaselineConfig.

      • setBlurBaselineConfig

        public XraiAttribution.Builder setBlurBaselineConfig​(BlurBaselineConfig value)
         Config for XRAI with blur baseline.

 When enabled, a linear path from the maximally blurred image to the input
 image is created. Using a blurred baseline instead of zero (black image) is
 motivated by the BlurIG approach explained here:
 https://arxiv.org/abs/2004.03383
        .google.cloud.aiplatform.v1beta1.BlurBaselineConfig blur_baseline_config = 3;

      • setBlurBaselineConfig

        public XraiAttribution.Builder setBlurBaselineConfig​(BlurBaselineConfig.Builder builderForValue)
         Config for XRAI with blur baseline.

 When enabled, a linear path from the maximally blurred image to the input
 image is created. Using a blurred baseline instead of zero (black image) is
 motivated by the BlurIG approach explained here:
 https://arxiv.org/abs/2004.03383
        .google.cloud.aiplatform.v1beta1.BlurBaselineConfig blur_baseline_config = 3;

      • mergeBlurBaselineConfig

        public XraiAttribution.Builder mergeBlurBaselineConfig​(BlurBaselineConfig value)
         Config for XRAI with blur baseline.

 When enabled, a linear path from the maximally blurred image to the input
 image is created. Using a blurred baseline instead of zero (black image) is
 motivated by the BlurIG approach explained here:
 https://arxiv.org/abs/2004.03383
        .google.cloud.aiplatform.v1beta1.BlurBaselineConfig blur_baseline_config = 3;

      • clearBlurBaselineConfig

        public XraiAttribution.Builder clearBlurBaselineConfig()
         Config for XRAI with blur baseline.

 When enabled, a linear path from the maximally blurred image to the input
 image is created. Using a blurred baseline instead of zero (black image) is
 motivated by the BlurIG approach explained here:
 https://arxiv.org/abs/2004.03383
        .google.cloud.aiplatform.v1beta1.BlurBaselineConfig blur_baseline_config = 3;

      • getBlurBaselineConfigBuilder

        public BlurBaselineConfig.Builder getBlurBaselineConfigBuilder()
         Config for XRAI with blur baseline.

 When enabled, a linear path from the maximally blurred image to the input
 image is created. Using a blurred baseline instead of zero (black image) is
 motivated by the BlurIG approach explained here:
 https://arxiv.org/abs/2004.03383
        .google.cloud.aiplatform.v1beta1.BlurBaselineConfig blur_baseline_config = 3;

      • getBlurBaselineConfigOrBuilder

        public BlurBaselineConfigOrBuilder getBlurBaselineConfigOrBuilder()
         Config for XRAI with blur baseline.

 When enabled, a linear path from the maximally blurred image to the input
 image is created. Using a blurred baseline instead of zero (black image) is
 motivated by the BlurIG approach explained here:
 https://arxiv.org/abs/2004.03383
        .google.cloud.aiplatform.v1beta1.BlurBaselineConfig blur_baseline_config = 3;
        Specified by:
        getBlurBaselineConfigOrBuilder in interface XraiAttributionOrBuilder

      • setUnknownFields

        public final XraiAttribution.Builder setUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        setUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<XraiAttribution.Builder>

      • mergeUnknownFields

        public final XraiAttribution.Builder mergeUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        mergeUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<XraiAttribution.Builder>