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This represents the standard deviation of the Gaussian kernel that will
be used to add noise to the feature prior to computing gradients. Similar
to noise_sigma
but represents the noise added to the current feature. Defaults to 0.1.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-03 UTC."],[],[],null,["# Interface FeatureNoiseSigma.NoiseSigmaForFeatureOrBuilder (1.32.0)\n\n public static interface FeatureNoiseSigma.NoiseSigmaForFeatureOrBuilder extends MessageOrBuilder\n\nImplements\n----------\n\n[MessageOrBuilder](https://cloud.google.com/java/docs/reference/protobuf/latest/com.google.protobuf.MessageOrBuilder.html)\n\nMethods\n-------\n\n### getName()\n\n public abstract String getName()\n\nThe name of the input feature for which noise sigma is provided. The\nfeatures are defined in\nexplanation metadata inputs.\n\n`string name = 1;`\n\n### getNameBytes()\n\n public abstract ByteString getNameBytes()\n\nThe name of the input feature for which noise sigma is provided. The\nfeatures are defined in\nexplanation metadata inputs.\n\n`string name = 1;`\n\n### getSigma()\n\n public abstract float getSigma()\n\nThis represents the standard deviation of the Gaussian kernel that will\nbe used to add noise to the feature prior to computing gradients. Similar\nto noise_sigma\nbut represents the noise added to the current feature. Defaults to 0.1.\n\n`float sigma = 2;`"]]
