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2 changes: 1 addition & 1 deletion lib/logging/index.js
Original file line number Diff line number Diff line change
Expand Up @@ -246,7 +246,7 @@ Logging.prototype.createSink = function(name, config, callback) {
* @resource [LogEntry JSON representation]{@link https://cloud.google.com/logging/docs/api/ref_v2beta1/rest/v2beta1/LogEntry}
*
* @param {object=|string=} resource - See a
* [Monitored Resource]{@link https://cloud.google.com/logging/docs/api/ref_v2beta1/rest/v2beta1/MonitoredResource}.
* [Monitored Resource](https://cloud.google.com/logging/docs/api/ref_v2beta1/rest/v2beta1/MonitoredResource).
* @param {object|string} data - The data to use as the value for this log
* entry.
* @return {module:logging/entry}
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2 changes: 1 addition & 1 deletion lib/logging/log.js
Original file line number Diff line number Diff line change
Expand Up @@ -257,7 +257,7 @@ Log.prototype.emergency = function(entry, options, callback) {
* @resource [LogEntry JSON representation]{@link https://cloud.google.com/logging/docs/api/ref_v2beta1/rest/v2beta1/LogEntry}
*
* @param {object=|string=} resource - See a
* [Monitored Resource]{@link https://cloud.google.com/logging/docs/api/ref_v2beta1/rest/v2beta1/MonitoredResource}.
* [Monitored Resource](https://cloud.google.com/logging/docs/api/ref_v2beta1/rest/v2beta1/MonitoredResource).
* @param {object|string} data - The data to use as the value for this log
* entry.
* @return {module:logging/entry}
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2 changes: 1 addition & 1 deletion lib/prediction/index.js
Original file line number Diff line number Diff line change
Expand Up @@ -121,7 +121,7 @@ nodeutil.inherits(Prediction, Service);
*
* @param {string} id - Unique name for the model. E.g. "my-model"
* @param {object=} options - See the
* [Trainedmodels: insert API Documentation]{@link https://cloud.google.com/prediction/docs/reference/v1.6/trainedmodels/insert}
* [Trainedmodels: insert API Documentation](https://cloud.google.com/prediction/docs/reference/v1.6/trainedmodels/insert)
* request body.
* @param {module:storage/file} options.data - A CSV file to use as training
* data.
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