Struct google_prediction1d6::api::Insert2
source · pub struct Insert2 {
pub created: Option<DateTime<Utc>>,
pub id: Option<String>,
pub kind: Option<String>,
pub model_info: Option<Insert2ModelInfo>,
pub model_type: Option<String>,
pub self_link: Option<String>,
pub storage_data_location: Option<String>,
pub storage_pmml_location: Option<String>,
pub storage_pmml_model_location: Option<String>,
pub training_complete: Option<DateTime<Utc>>,
pub training_status: Option<String>,
}
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§Activities
This type is used in activities, which are methods you may call on this type or where this type is involved in. The list links the activity name, along with information about where it is used (one of request and response).
- get trainedmodels (response)
- insert trainedmodels (response)
- update trainedmodels (response)
Fields§
§created: Option<DateTime<Utc>>
Insert time of the model (as a RFC 3339 timestamp).
id: Option<String>
The unique name for the predictive model.
kind: Option<String>
What kind of resource this is.
model_info: Option<Insert2ModelInfo>
Model metadata.
model_type: Option<String>
Type of predictive model (CLASSIFICATION or REGRESSION).
self_link: Option<String>
A URL to re-request this resource.
storage_data_location: Option<String>
Google storage location of the training data file.
storage_pmml_location: Option<String>
Google storage location of the preprocessing pmml file.
storage_pmml_model_location: Option<String>
Google storage location of the pmml model file.
training_complete: Option<DateTime<Utc>>
Training completion time (as a RFC 3339 timestamp).
training_status: Option<String>
The current status of the training job. This can be one of following: RUNNING; DONE; ERROR; ERROR: TRAINING JOB NOT FOUND