Remove raw html from proto comments as this breaks client library documentation generators.
See https://aip.dev/192 > Any formatting in comments must be in CommonMark. Headings and tables must not be used, as these cause problems for several tools, and are unsuitable for client library reference documentation. > > Comments should use code font for property names and for literals (such as true). > > Raw HTML must not be used. PiperOrigin-RevId: 308716969
This commit is contained in:
Google APIs
Copybara-Service
parent
c2bfceedfc
commit
371206424e
|
|
@ -46,42 +46,38 @@ service PredictionService {
|
|||
// returned in the response.
|
||||
// Available for following ML scenarios, and their expected request payloads:
|
||||
//
|
||||
// <table>
|
||||
// <tr>
|
||||
// <td>AutoML Vision Classification</td>
|
||||
// <td>An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.</td>
|
||||
// </tr>
|
||||
// <tr>
|
||||
// <td>AutoML Vision Object Detection</td>
|
||||
// <td>An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.</td>
|
||||
// </tr>
|
||||
// <tr>
|
||||
// <td>AutoML Natural Language Classification</td>
|
||||
// <td>A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in
|
||||
// .PDF, .TIF or .TIFF format with size upto 2MB.</td>
|
||||
// </tr>
|
||||
// <tr>
|
||||
// <td>AutoML Natural Language Entity Extraction</td>
|
||||
// <td>A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document
|
||||
// in .PDF, .TIF or .TIFF format with size upto 20MB.</td>
|
||||
// </tr>
|
||||
// <tr>
|
||||
// <td>AutoML Natural Language Sentiment Analysis</td>
|
||||
// <td>A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in
|
||||
// .PDF, .TIF or .TIFF format with size upto 2MB.</td>
|
||||
// </tr>
|
||||
// <tr>
|
||||
// <td>AutoML Translation</td>
|
||||
// <td>A TextSnippet up to 25,000 characters, UTF-8 encoded.</td>
|
||||
// </tr>
|
||||
// <tr>
|
||||
// <td>AutoML Tables</td>
|
||||
// <td>A row with column values matching
|
||||
// AutoML Vision Classification
|
||||
//
|
||||
// * An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
|
||||
//
|
||||
// AutoML Vision Object Detection
|
||||
//
|
||||
// * An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
|
||||
//
|
||||
// AutoML Natural Language Classification
|
||||
//
|
||||
// * A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in
|
||||
// .PDF, .TIF or .TIFF format with size upto 2MB.
|
||||
//
|
||||
// AutoML Natural Language Entity Extraction
|
||||
//
|
||||
// * A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document
|
||||
// in .PDF, .TIF or .TIFF format with size upto 20MB.
|
||||
//
|
||||
// AutoML Natural Language Sentiment Analysis
|
||||
//
|
||||
// * A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in
|
||||
// .PDF, .TIF or .TIFF format with size upto 2MB.
|
||||
//
|
||||
// AutoML Translation
|
||||
//
|
||||
// * A TextSnippet up to 25,000 characters, UTF-8 encoded.
|
||||
//
|
||||
// AutoML Tables
|
||||
//
|
||||
// * A row with column values matching
|
||||
// the columns of the model, up to 5MB. Not available for FORECASTING
|
||||
// `prediction_type`.
|
||||
// </td>
|
||||
// </tr>
|
||||
// </table>
|
||||
rpc Predict(PredictRequest) returns (PredictResponse) {
|
||||
option (google.api.http) = {
|
||||
post: "/v1/{name=projects/*/locations/*/models/*}:predict"
|
||||
|
|
@ -135,14 +131,14 @@ message PredictRequest {
|
|||
// Additional domain-specific parameters, any string must be up to 25000
|
||||
// characters long.
|
||||
//
|
||||
// <h4>AutoML Vision Classification</h4>
|
||||
// AutoML Vision Classification
|
||||
//
|
||||
// `score_threshold`
|
||||
// : (float) A value from 0.0 to 1.0. When the model
|
||||
// makes predictions for an image, it will only produce results that have
|
||||
// at least this confidence score. The default is 0.5.
|
||||
//
|
||||
// <h4>AutoML Vision Object Detection</h4>
|
||||
// AutoML Vision Object Detection
|
||||
//
|
||||
// `score_threshold`
|
||||
// : (float) When Model detects objects on the image,
|
||||
|
|
@ -154,7 +150,7 @@ message PredictRequest {
|
|||
// boxes returned. The default is 100. The
|
||||
// number of returned bounding boxes might be limited by the server.
|
||||
//
|
||||
// <h4>AutoML Tables</h4>
|
||||
// AutoML Tables
|
||||
//
|
||||
// `feature_importance`
|
||||
// : (boolean) Whether
|
||||
|
|
@ -185,12 +181,12 @@ message PredictResponse {
|
|||
|
||||
// Additional domain-specific prediction response metadata.
|
||||
//
|
||||
// <h4>AutoML Vision Object Detection</h4>
|
||||
// AutoML Vision Object Detection
|
||||
//
|
||||
// `max_bounding_box_count`
|
||||
// : (int64) The maximum number of bounding boxes to return per image.
|
||||
//
|
||||
// <h4>AutoML Natural Language Sentiment Analysis</h4>
|
||||
// AutoML Natural Language Sentiment Analysis
|
||||
//
|
||||
// `sentiment_score`
|
||||
// : (float, deprecated) A value between -1 and 1,
|
||||
|
|
@ -224,7 +220,7 @@ message BatchPredictRequest {
|
|||
// Additional domain-specific parameters for the predictions, any string must
|
||||
// be up to 25000 characters long.
|
||||
//
|
||||
// <h4>AutoML Natural Language Classification</h4>
|
||||
// AutoML Natural Language Classification
|
||||
//
|
||||
// `score_threshold`
|
||||
// : (float) A value from 0.0 to 1.0. When the model
|
||||
|
|
@ -232,14 +228,14 @@ message BatchPredictRequest {
|
|||
// that have at least this confidence score. The default is 0.5.
|
||||
//
|
||||
//
|
||||
// <h4>AutoML Vision Classification</h4>
|
||||
// AutoML Vision Classification
|
||||
//
|
||||
// `score_threshold`
|
||||
// : (float) A value from 0.0 to 1.0. When the model
|
||||
// makes predictions for an image, it will only produce results that
|
||||
// have at least this confidence score. The default is 0.5.
|
||||
//
|
||||
// <h4>AutoML Vision Object Detection</h4>
|
||||
// AutoML Vision Object Detection
|
||||
//
|
||||
// `score_threshold`
|
||||
// : (float) When Model detects objects on the image,
|
||||
|
|
@ -250,7 +246,7 @@ message BatchPredictRequest {
|
|||
// : (int64) The maximum number of bounding
|
||||
// boxes returned per image. The default is 100, the
|
||||
// number of bounding boxes returned might be limited by the server.
|
||||
// <h4>AutoML Video Intelligence Classification</h4>
|
||||
// AutoML Video Intelligence Classification
|
||||
//
|
||||
// `score_threshold`
|
||||
// : (float) A value from 0.0 to 1.0. When the model
|
||||
|
|
@ -288,7 +284,7 @@ message BatchPredictRequest {
|
|||
// type, the quality of it depends on training data, but there are no
|
||||
// metrics provided to describe that quality.
|
||||
//
|
||||
// <h4>AutoML Video Intelligence Object Tracking</h4>
|
||||
// AutoML Video Intelligence Object Tracking
|
||||
//
|
||||
// `score_threshold`
|
||||
// : (float) When Model detects objects on video frames,
|
||||
|
|
@ -314,12 +310,12 @@ message BatchPredictRequest {
|
|||
message BatchPredictResult {
|
||||
// Additional domain-specific prediction response metadata.
|
||||
//
|
||||
// <h4>AutoML Vision Object Detection</h4>
|
||||
// AutoML Vision Object Detection
|
||||
//
|
||||
// `max_bounding_box_count`
|
||||
// : (int64) The maximum number of bounding boxes returned per image.
|
||||
//
|
||||
// <h4>AutoML Video Intelligence Object Tracking</h4>
|
||||
// AutoML Video Intelligence Object Tracking
|
||||
//
|
||||
// `max_bounding_box_count`
|
||||
// : (int64) The maximum number of bounding boxes returned per frame.
|
||||
|
|
|
|||
Loading…
Reference in New Issue