File: prediction_model_metadata.proto

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// Copyright 2022 The Chromium Authors
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.

syntax = "proto3";

option optimize_for = LITE_RUNTIME;

package permissions;

// This message is used to characterize a CPSS model when enrolled to the Chrome
// Intelligence infrastructure. This way, Chrome clients will be able to
// negotiate the required version, and we will be able to easily perform
// tasks such as staged model rollouts and A/B testing.
// More information at go/cpss-tflite-dd.
message WebPermissionPredictionsModelMetadata {
  // Message used to store the thresholds to convert the ML output to the
  // actionable discretized output.
  message LikelihoodThresholds {
    // The likelihood will be discretized to "VERY_UNLIKELY" for scores in range
    // [0.0, max_very_unlikely].
    optional float max_very_unlikely = 1;

    // The likelihood will be discretized to "UNLIKELY" for scores in range
    // (max_very_unlikely, max_unlikely].
    optional float max_unlikely = 2;

    // The likelihood will be discretized to "NEUTRAL" for scores in range
    // (max_unlikely, max_neutral].
    optional float max_neutral = 3;

    // The likelihood will be discretized to "LIKELY" for scores in range
    // range (max_neutral, max_likely] and to "VERY_LIKELY" for scores in range
    // (max_likely, 1.0]
    optional float max_likely = 4;
  }

  // Enum to list the model features that are provided (by the model) or
  // expected (by the client).
  enum ModelFeature {
    // Unspecified feature.
    MODEL_FEATURE_UNSPECIFIED = 0;
    // Enum to identify the client platform.
    PLATFORM_ENUM = 1;
    // Enum to identify the client gesture.
    GESTURE_ENUM = 2;
    // Average client grant rate across all permission types and all prompt
    // dispositions (loud and quiet).
    AVG_CLIENT_GRANT_RATE = 3;
    // Average client deny rate across all permission types and all prompt
    // dispositions (loud and quiet).
    AVG_CLIENT_DENY_RATE = 4;
    // Average client dismiss rate across all permission types and all prompt
    // dispositions (loud and quiet).
    AVG_CLIENT_DISMISS_RATE = 5;
    // Average client ignore rate across all permission types and all prompt
    // dispositions (loud and quiet).
    AVG_CLIENT_IGNORE_RATE = 6;
    // Number of total prompts shown to the client across all permission types
    // and all prompt dispositions (loud and quiet).
    CLIENT_TOTAL_PROMPTS = 7;
    // Average client grant rate for the specific permission on all prompt
    // dispositions (loud and quiet).
    AVG_CLIENT_PERMISSION_GRANT_RATE = 8;
    // Average client deny rate for the specific permission on all prompt
    // dispositions (loud and quiet).
    AVG_CLIENT_PERMISSION_DENY_RATE = 9;
    // Average client dismiss rate for the specific permission on all prompt
    // dispositions (loud and quiet).
    AVG_CLIENT_PERMISSION_DISMISS_RATE = 10;
    // Average client ignore rate for the specific permission on all prompt
    // dispositions (loud and quiet).
    AVG_CLIENT_PERMISSION_IGNORE_RATE = 11;
    // Number of total prompts shown to the client for the specific permission
    // on all prompt dispositions (loud and quiet).
    CLIENT_TOTAL_PERMISSION_PROMPTS = 12;
  }

  // Repeated field to specify the features used by the model (when building
  // a metadata object to characterize a model on the server side) or the
  // ones expected by the client (for negotiation of the model version).
  repeated ModelFeature model_features = 1;

  // Enum used to specify the web permission that the model is trained on.
  enum PermissionType {
    // Unspecified permission type.
    PERMISSION_TYPE_UNSPECIFIED = 0;
    // The model has been trained on notification permissions.
    NOTIFICATIONS_PERMISSION = 1;
    // The model has been trained on geolocation permissions.
    GEOLOCATION_PERMISSION = 2;
  }

  // The permission type that the model is trained on.
  optional PermissionType permission_type = 2;

  // Semantic version to allow to experiment with multiple models with the same
  // features at the same time.
  optional int32 version = 3;

  // The probability of the decision to be held back (not use CPSS).
  optional float holdback_probability = 4;

  // Thresholds used to discretized the NOT_GRANT likelihood scores.
  optional LikelihoodThresholds not_grant_thresholds = 5;
}

// This message is used to provide the backend info about the Chrome client. The
// backend can use this information to select a model which needs to be sent to
// the client.
message WebPermissionPredictionsClientInfo {
  // The chrome milestone version.
  // For example a Chrome client with version 128.0.6613.115 will have 128 as
  // the milestone.
  optional int32 milestone = 1;
}