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// Copyright 2023 The Chromium Authors
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
edition = "2023";
package optimization_guide.proto;
option optimize_for = LITE_RUNTIME;
option java_package = "org.chromium.components.optimization_guide.proto";
option java_outer_classname = "AutofillFieldClassificationModelMetadata";
message AutofillFieldClassificationEncodingParameters {
// Per-field features that can be included in the model input.
enum AutofillFieldClassificationFeature {
// Don't use.
FEATURE_UNKNOWN = 0;
// The label of the field.
FEATURE_LABEL = 1;
// The placeholder in the field.
FEATURE_PLACEHOLDER = 2;
// The autocomplete attribute of the field.
FEATURE_AUTOCOMPLETE = 3;
// The id attribute of the field.
FEATURE_ID = 4;
// The name attribute of the field (not FormFieldData::name() which falls
// back to the id attribute if the name attribute does not exist).
FEATURE_NAME = 5;
// The form control type attribute of the field.
FEATURE_TYPE = 6;
}
// Per-form features that can be included in the model input.
enum AutofillFieldClassificationFormLevelFeature {
// Don't use.
FORM_FEATURE_UNKNOWN = 0;
// The titles of <button> and <submit> elements in a form containing the
// field.
FEATURE_FORM_BUTTON_TITLES = 1;
// The id attribute of a form containing the field.
FEATURE_FORM_ID = 2;
// The name attribute of a form containing the field.
FEATURE_FORM_NAME = 3;
// The URL path of the frame containing the field.
FEATURE_FRAME_URL_PATH = 4;
}
// Maximum number of form fields for which the model can predict types.
// When calling the executor with a larger form, predictions are only returned
// for the first `maximum_number_of_fields` many fields.
int32 maximum_number_of_fields = 1 [features.field_presence = IMPLICIT];
// Max tokens per field per feature.
int32 max_tokens_per_feature = 2 [features.field_presence = IMPLICIT];
// The per-field features provided to the model in the order they are
// presented to the model.
repeated AutofillFieldClassificationFeature features = 3;
// Pre-processing of feature strings:
// labels, name, id attributes, etc. are preprocessed by the following steps:
// Split a camelCase or UpperCamelCase string into separate words with
// spaces in between.
bool split_on_camel_case = 4 [features.field_presence = IMPLICIT];
// If true, map the string to lowercase.
bool lowercase = 5 [features.field_presence = IMPLICIT];
// Replace all characters listed in `replace_chars_with_whitespace` with a
// single space. If empty, this step is skipped.
string replace_chars_with_whitespace = 6 [features.field_presence = IMPLICIT];
// Replace all characters listed in `remove_chars` with the empty string.
// If empty, this step is skipped.
string remove_chars = 7 [features.field_presence = IMPLICIT];
// The per-form features provided to the model in the order they are presented
// to the model.
repeated AutofillFieldClassificationFormLevelFeature form_features = 8;
}
message AutofillFieldClassificationPostprocessingParameters {
// If set, types are only assigned to fields that have predictions
// with at least the specified minimum confidence.
float confidence_threshold_per_field = 1;
// If set, the model returns predictions only if *all* fields have predictions
// with at least the specified minimum confidence.
float confidence_threshold_to_disable_all_predictions = 2;
// If true, the model is not allowed to return the same prediction for
// multiple fields in the form.
bool disallow_same_type_predictions = 3;
}
// Metadata for OPTIMIZATION_TARGET_AUTOFILL_FIELD_CLASSIFICATION.
message AutofillFieldClassificationModelMetadata {
// The dictionary used for vectorization of the input labels. The strings
// are mapped to integers in the order that they are present in the repeated
// field. Index 0 of `input_token` maps to integer 2, since 0 is reserved for
// padding and 1 is reserved for unknown tokens.
repeated string input_token = 1;
// The mapping from the model's outputs to the (integer representation of) the
// corresponding `autofill::FieldType`.
repeated fixed32 output_type = 2;
// Deprecated in M132.
reserved 3;
// The version of the input, based on which the relevant model
// version will be used from server.
int64 input_version = 4;
// Encoding parameters, used for input versions >= 3.
AutofillFieldClassificationEncodingParameters encoding_parameters = 5;
// Output processing parameters.
AutofillFieldClassificationPostprocessingParameters
postprocessing_parameters = 6;
}
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