Struct google_api_proto::google::cloud::bigquery::v2::Model

pub struct Model {

    pub etag: String,
    pub model_reference: Option<ModelReference>,
    pub creation_time: i64,
    pub last_modified_time: i64,
    pub description: String,
    pub friendly_name: String,
    pub labels: BTreeMap<String, String>,
    pub expiration_time: i64,
    pub location: String,
    pub encryption_configuration: Option<EncryptionConfiguration>,
    pub model_type: i32,
    pub training_runs: Vec<TrainingRun>,
    pub feature_columns: Vec<StandardSqlField>,
    pub label_columns: Vec<StandardSqlField>,
    pub transform_columns: Vec<TransformColumn>,
    pub hparam_search_spaces: Option<HparamSearchSpaces>,
    pub default_trial_id: i64,
    pub hparam_trials: Vec<HparamTuningTrial>,
    pub optimal_trial_ids: Vec<i64>,
    pub remote_model_info: Option<RemoteModelInfo>,
}

Fields

etag: String

Output only. A hash of this resource.

model_reference: Option<ModelReference>

Required. Unique identifier for this model.

creation_time: i64

Output only. The time when this model was created, in millisecs since the epoch.

last_modified_time: i64

Output only. The time when this model was last modified, in millisecs since the epoch.

description: String

Optional. A user-friendly description of this model.

friendly_name: String

Optional. A descriptive name for this model.

labels: BTreeMap<String, String>

The labels associated with this model. You can use these to organize and group your models. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.

expiration_time: i64

Optional. The time when this model expires, in milliseconds since the epoch. If not present, the model will persist indefinitely. Expired models will be deleted and their storage reclaimed. The defaultTableExpirationMs property of the encapsulating dataset can be used to set a default expirationTime on newly created models.

location: String

Output only. The geographic location where the model resides. This value is inherited from the dataset.

encryption_configuration: Option<EncryptionConfiguration>

Custom encryption configuration (e.g., Cloud KMS keys). This shows the encryption configuration of the model data while stored in BigQuery storage. This field can be used with PatchModel to update encryption key for an already encrypted model.

model_type: i32

Output only. Type of the model resource.

training_runs: Vec<TrainingRun>

Information for all training runs in increasing order of start_time.

feature_columns: Vec<StandardSqlField>

Output only. Input feature columns for the model inference. If the model is trained with TRANSFORM clause, these are the input of the TRANSFORM clause.

label_columns: Vec<StandardSqlField>

Output only. Label columns that were used to train this model. The output of the model will have a “predicted_” prefix to these columns.

transform_columns: Vec<TransformColumn>

Output only. This field will be populated if a TRANSFORM clause was used to train a model. TRANSFORM clause (if used) takes feature_columns as input and outputs transform_columns. transform_columns then are used to train the model.

hparam_search_spaces: Option<HparamSearchSpaces>

Output only. All hyperparameter search spaces in this model.

default_trial_id: i64

Output only. The default trial_id to use in TVFs when the trial_id is not passed in. For single-objective hyperparameter tuning models, this is the best trial ID. For multi-objective hyperparameter tuning models, this is the smallest trial ID among all Pareto optimal trials.

hparam_trials: Vec<HparamTuningTrial>

Output only. Trials of a hyperparameter tuning model sorted by trial_id.

optimal_trial_ids: Vec<i64>

Output only. For single-objective hyperparameter tuning models, it only contains the best trial. For multi-objective hyperparameter tuning models, it contains all Pareto optimal trials sorted by trial_id.

remote_model_info: Option<RemoteModelInfo>

Output only. Remote model info

Implementations

impl Model

pub fn model_type(&self) -> ModelType

Returns the enum value of model_type, or the default if the field is set to an invalid enum value.

pub fn set_model_type(&mut self, value: ModelType)

Sets model_type to the provided enum value.

Trait Implementations

impl Clone for Model

fn clone(&self) -> Model

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Model

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

Formats the value using the given formatter.

impl Default for Model

fn default() -> Self

Returns the “default value” for a type.

impl Message for Model

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 Model

fn eq(&self, other: &Model) -> 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 Model