Struct google_api_proto::google::cloud::automl::v1beta1::PredictResponse

pub struct PredictResponse {
    pub payload: Vec<AnnotationPayload>,
    pub preprocessed_input: Option<ExamplePayload>,
    pub metadata: BTreeMap<String, String>,
}

Response message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].

Fields

payload: Vec<AnnotationPayload>

Prediction result. Translation and Text Sentiment will return precisely one payload.

preprocessed_input: Option<ExamplePayload>

The preprocessed example that AutoML actually makes prediction on. Empty if AutoML does not preprocess the input example.

• For Text Extraction: If the input is a .pdf file, the OCR’ed text will be provided in [document_text][google.cloud.automl.v1beta1.Document.document_text].

metadata: BTreeMap<String, String>

Additional domain-specific prediction response metadata.

• For Image Object Detection: max_bounding_box_count - (int64) At most that many bounding boxes per image could have been returned.

• For Text Sentiment: sentiment_score - (float, deprecated) A value between -1 and 1, -1 maps to least positive sentiment, while 1 maps to the most positive one and the higher the score, the more positive the sentiment in the document is. Yet these values are relative to the training data, so e.g. if all data was positive then -1 will be also positive (though the least). The sentiment_score shouldn’t be confused with “score” or “magnitude” from the previous Natural Language Sentiment Analysis API.

Trait Implementations

impl Clone for PredictResponse

fn clone(&self) -> PredictResponse

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for PredictResponse

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for PredictResponse

fn default() -> Self

Returns the “default value” for a type.

impl Message for PredictResponse

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message to a buffer.

fn encode_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message to a newly allocated buffer.

fn encode_length_delimited( &self, buf: &mut impl BufMut, ) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message with a length-delimiter to a buffer.

fn encode_length_delimited_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message with a length-delimiter to a newly allocated buffer.

fn decode(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes an instance of the message from a buffer.

fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes a length-delimited instance of the message from the buffer.

fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq for PredictResponse

fn eq(&self, other: &PredictResponse) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for PredictResponse