Class: Google::Cloud::AutoML::V1::OutputConfig
- Inherits:
-
Object
- Object
- Google::Cloud::AutoML::V1::OutputConfig
- Extended by:
- Protobuf::MessageExts::ClassMethods
- Includes:
- Protobuf::MessageExts
- Defined in:
- proto_docs/google/cloud/automl/v1/io.rb
Overview
For Translation: CSV file
translation.csv
, with each line in format: ML_USE,GCS_FILE_PATH GCS_FILE_PATH leads to a .TSV file which describes examples that have given ML_USE, using the following row format per line: TEXT_SNIPPET (in source language) \t TEXT_SNIPPET (in target language)- For Tables: Output depends on whether the dataset was imported from Google Cloud Storage or BigQuery. Google Cloud Storage case:
[gcs_destination][google.cloud.automl.v1p1beta.OutputConfig.gcs_destination]
must be set. Exported are CSV file(s) tables_1.csv
,
tables_2.csv
,...,tables_N.csv
with each having as header line
the table's column names, and all other lines contain values for
the header columns.
BigQuery case:
[bigquery_destination][google.cloud.automl.v1p1beta.OutputConfig.bigquery_destination] pointing to a BigQuery project must be set. In the given project a new dataset will be created with name
export_data_<automl-dataset-display-name>_<timestamp-of-export-call>
where primary_table
will be created, and
filled with precisely the same data as this obtained on import.
Instance Attribute Summary collapse
Instance Attribute Details
#gcs_destination ⇒ ::Google::Cloud::AutoML::V1::GcsDestination
Returns Required. The Google Cloud Storage location where the output is to be written to.
For Image Object Detection, Text Extraction, Video Classification and
Tables, in the given directory a new directory will be created with name:
export_data-
1009 1010 1011 1012 |
# File 'proto_docs/google/cloud/automl/v1/io.rb', line 1009 class OutputConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |