// Copyright 2020 Google LLC // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. syntax = "proto3"; package google.cloud.automl.v1beta1; import "google/api/resource.proto"; import "google/cloud/automl/v1beta1/io.proto"; import "google/api/annotations.proto"; option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"; option java_multiple_files = true; option java_package = "com.google.cloud.automl.v1beta1"; option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1"; option ruby_package = "Google::Cloud::AutoML::V1beta1"; // A specification of a relational table. // The table's schema is represented via its child column specs. It is // pre-populated as part of ImportData by schema inference algorithm, the // version of which is a required parameter of ImportData InputConfig. // Note: While working with a table, at times the schema may be // inconsistent with the data in the table (e.g. string in a FLOAT64 column). // The consistency validation is done upon creation of a model. // Used by: // * Tables message TableSpec { option (google.api.resource) = { type: "automl.googleapis.com/TableSpec" pattern: "projects/{project}/locations/{location}/datasets/{dataset}/tableSpecs/{table_spec}" }; // Output only. The resource name of the table spec. // Form: // // `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}/tableSpecs/{table_spec_id}` string name = 1; // column_spec_id of the time column. Only used if the parent dataset's // ml_use_column_spec_id is not set. Used to split rows into TRAIN, VALIDATE // and TEST sets such that oldest rows go to TRAIN set, newest to TEST, and // those in between to VALIDATE. // Required type: TIMESTAMP. // If both this column and ml_use_column are not set, then ML use of all rows // will be assigned by AutoML. NOTE: Updates of this field will instantly // affect any other users concurrently working with the dataset. string time_column_spec_id = 2; // Output only. The number of rows (i.e. examples) in the table. int64 row_count = 3; // Output only. The number of valid rows (i.e. without values that don't match // DataType-s of their columns). int64 valid_row_count = 4; // Output only. The number of columns of the table. That is, the number of // child ColumnSpec-s. int64 column_count = 7; // Output only. Input configs via which data currently residing in the table // had been imported. repeated InputConfig input_configs = 5; // Used to perform consistent read-modify-write updates. If not set, a blind // "overwrite" update happens. string etag = 6; }