diff --git a/AutoMl/metadata/V1Beta1/Image.php b/AutoMl/metadata/V1Beta1/Image.php
index ce90c9e27dd7..a1864f27f19a 100644
--- a/AutoMl/metadata/V1Beta1/Image.php
+++ b/AutoMl/metadata/V1Beta1/Image.php
@@ -14,43 +14,45 @@ public static function initOnce() {
if (static::$is_initialized == true) {
return;
}
+ \GPBMetadata\Google\Api\Annotations::initOnce();
\GPBMetadata\Google\Cloud\Automl\V1Beta1\AnnotationSpec::initOnce();
\GPBMetadata\Google\Cloud\Automl\V1Beta1\Classification::initOnce();
\GPBMetadata\Google\Protobuf\Timestamp::initOnce();
- \GPBMetadata\Google\Api\Annotations::initOnce();
$pool->internalAddGeneratedFile(hex2bin(
- "0aa1070a27676f6f676c652f636c6f75642f6175746f6d6c2f7631626574" .
+ "0af8070a27676f6f676c652f636c6f75642f6175746f6d6c2f7631626574" .
"61312f696d6167652e70726f746f121b676f6f676c652e636c6f75642e61" .
- "75746f6d6c2e763162657461311a30676f6f676c652f636c6f75642f6175" .
- "746f6d6c2f763162657461312f636c617373696669636174696f6e2e7072" .
- "6f746f1a1f676f6f676c652f70726f746f6275662f74696d657374616d70" .
- "2e70726f746f1a1c676f6f676c652f6170692f616e6e6f746174696f6e73" .
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- "6f6e5f7479706518012001280e322f2e676f6f676c652e636c6f75642e61" .
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- "706522250a23496d6167654f626a656374446574656374696f6e44617461" .
- "7365744d65746164617461228c010a20496d616765436c61737369666963" .
- "6174696f6e4d6f64656c4d6574616461746112150a0d626173655f6d6f64" .
- "656c5f696418012001280912140a0c747261696e5f627564676574180220" .
- "01280312120a0a747261696e5f636f737418032001280312130a0b73746f" .
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- "2001280922be010a21496d6167654f626a656374446574656374696f6e4d" .
- "6f64656c4d6574616461746112120a0a6d6f64656c5f7479706518012001" .
- "280912120a0a6e6f64655f636f756e7418032001280312100a086e6f6465" .
- "5f71707318042001280112130a0b73746f705f726561736f6e1805200128" .
- "0912250a1d747261696e5f6275646765745f6d696c6c695f6e6f64655f68" .
- "6f75727318062001280312230a1b747261696e5f636f73745f6d696c6c69" .
- "5f6e6f64655f686f75727318072001280322410a2b496d6167654f626a65" .
- "6374446574656374696f6e4d6f64656c4465706c6f796d656e744d657461" .
- "6461746112120a0a6e6f64655f636f756e7418012001280342b1010a1f63" .
- "6f6d2e676f6f676c652e636c6f75642e6175746f6d6c2e76316265746131" .
- "420a496d61676550726f746f50015a41676f6f676c652e676f6c616e672e" .
- "6f72672f67656e70726f746f2f676f6f676c65617069732f636c6f75642f" .
- "6175746f6d6c2f763162657461313b6175746f6d6cca021b476f6f676c65" .
- "5c436c6f75645c4175746f4d6c5c56316265746131ea021e476f6f676c65" .
- "3a3a436c6f75643a3a4175746f4d4c3a3a56316265746131620670726f74" .
- "6f33"
+ "75746f6d6c2e763162657461311a31676f6f676c652f636c6f75642f6175" .
+ "746f6d6c2f763162657461312f616e6e6f746174696f6e5f737065632e70" .
+ "726f746f1a30676f6f676c652f636c6f75642f6175746f6d6c2f76316265" .
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+ "6c652f70726f746f6275662f74696d657374616d702e70726f746f22720a" .
+ "22496d616765436c617373696669636174696f6e446174617365744d6574" .
+ "6164617461124c0a13636c617373696669636174696f6e5f747970651801" .
+ "2001280e322f2e676f6f676c652e636c6f75642e6175746f6d6c2e763162" .
+ "657461312e436c617373696669636174696f6e5479706522250a23496d61" .
+ "67654f626a656374446574656374696f6e446174617365744d6574616461" .
+ "7461228c010a20496d616765436c617373696669636174696f6e4d6f6465" .
+ "6c4d6574616461746112150a0d626173655f6d6f64656c5f696418012001" .
+ "280912140a0c747261696e5f62756467657418022001280312120a0a7472" .
+ "61696e5f636f737418032001280312130a0b73746f705f726561736f6e18" .
+ "052001280912120a0a6d6f64656c5f7479706518072001280922be010a21" .
+ "496d6167654f626a656374446574656374696f6e4d6f64656c4d65746164" .
+ "61746112120a0a6d6f64656c5f7479706518012001280912120a0a6e6f64" .
+ "655f636f756e7418032001280312100a086e6f64655f7170731804200128" .
+ "0112130a0b73746f705f726561736f6e18052001280912250a1d74726169" .
+ "6e5f6275646765745f6d696c6c695f6e6f64655f686f7572731806200128" .
+ "0312230a1b747261696e5f636f73745f6d696c6c695f6e6f64655f686f75" .
+ "727318072001280322400a2a496d616765436c617373696669636174696f" .
+ "6e4d6f64656c4465706c6f796d656e744d6574616461746112120a0a6e6f" .
+ "64655f636f756e7418012001280322410a2b496d6167654f626a65637444" .
+ "6574656374696f6e4d6f64656c4465706c6f796d656e744d657461646174" .
+ "6112120a0a6e6f64655f636f756e7418012001280342b1010a1f636f6d2e" .
+ "676f6f676c652e636c6f75642e6175746f6d6c2e76316265746131420a49" .
+ "6d61676550726f746f50015a41676f6f676c652e676f6c616e672e6f7267" .
+ "2f67656e70726f746f2f676f6f676c65617069732f636c6f75642f617574" .
+ "6f6d6c2f763162657461313b6175746f6d6cca021b476f6f676c655c436c" .
+ "6f75645c4175746f4d6c5c56316265746131ea021e476f6f676c653a3a43" .
+ "6c6f75643a3a4175746f4d4c3a3a56316265746131620670726f746f33"
), true);
static::$is_initialized = true;
diff --git a/AutoMl/metadata/V1Beta1/Service.php b/AutoMl/metadata/V1Beta1/Service.php
index edef4619a04d..516b027a4136 100644
--- a/AutoMl/metadata/V1Beta1/Service.php
+++ b/AutoMl/metadata/V1Beta1/Service.php
@@ -29,7 +29,7 @@ public static function initOnce() {
\GPBMetadata\Google\Protobuf\FieldMask::initOnce();
\GPBMetadata\Google\Api\Client::initOnce();
$pool->internalAddGeneratedFile(hex2bin(
- "0a893f0a29676f6f676c652f636c6f75642f6175746f6d6c2f7631626574" .
+ "0a8d400a29676f6f676c652f636c6f75642f6175746f6d6c2f7631626574" .
"61312f736572766963652e70726f746f121b676f6f676c652e636c6f7564" .
"2e6175746f6d6c2e763162657461311a34676f6f676c652f636c6f75642f" .
"6175746f6d6c2f763162657461312f616e6e6f746174696f6e5f7061796c" .
@@ -118,187 +118,191 @@ public static function initOnce() {
"280b32222e676f6f676c652e636c6f75642e6175746f6d6c2e7631626574" .
"61312e4d6f64656c12170a0f6e6578745f706167655f746f6b656e180220" .
"01280922220a1244656c6574654d6f64656c52657175657374120c0a046e" .
- "616d6518012001280922c6010a124465706c6f794d6f64656c5265717565" .
+ "616d6518012001280922ca020a124465706c6f794d6f64656c5265717565" .
"73741284010a30696d6167655f6f626a6563745f646574656374696f6e5f" .
"6d6f64656c5f6465706c6f796d656e745f6d657461646174611802200128" .
"0b32482e676f6f676c652e636c6f75642e6175746f6d6c2e763162657461" .
"312e496d6167654f626a656374446574656374696f6e4d6f64656c446570" .
- "6c6f796d656e744d657461646174614800120c0a046e616d651801200128" .
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- "22240a14556e6465706c6f794d6f64656c52657175657374120c0a046e61" .
- "6d65180120012809226f0a124578706f72744d6f64656c52657175657374" .
- "120c0a046e616d65180120012809124b0a0d6f75747075745f636f6e6669" .
- "6718032001280b32342e676f6f676c652e636c6f75642e6175746f6d6c2e" .
- "763162657461312e4d6f64656c4578706f72744f7574707574436f6e6669" .
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"656374732f2a2f6c6f636174696f6e732f2a2f64617461736574732f2a7d" .
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+ "616d653d70726f6a656374732f2a2f6c6f636174696f6e732f2a2f6d6f64" .
+ "656c732f2a7d3a756e6465706c6f793a012a12a0010a0b4578706f72744d" .
+ "6f64656c122f2e676f6f676c652e636c6f75642e6175746f6d6c2e763162" .
+ "657461312e4578706f72744d6f64656c526571756573741a1d2e676f6f67" .
+ "6c652e6c6f6e6772756e6e696e672e4f7065726174696f6e224182d3e493" .
+ "023b22362f763162657461312f7b6e616d653d70726f6a656374732f2a2f" .
+ "6c6f636174696f6e732f2a2f6d6f64656c732f2a7d3a6578706f72743a01" .
+ "2a12c9010a174578706f72744576616c75617465644578616d706c657312" .
+ "3b2e676f6f676c652e636c6f75642e6175746f6d6c2e763162657461312e" .
+ "4578706f72744576616c75617465644578616d706c657352657175657374" .
+ "1a1d2e676f6f676c652e6c6f6e6772756e6e696e672e4f7065726174696f" .
+ "6e225282d3e493024c22472f763162657461312f7b6e616d653d70726f6a" .
+ "656374732f2a2f6c6f636174696f6e732f2a2f6d6f64656c732f2a7d3a65" .
+ "78706f72744576616c75617465644578616d706c65733a012a12c6010a12" .
+ "4765744d6f64656c4576616c756174696f6e12362e676f6f676c652e636c" .
+ "6f75642e6175746f6d6c2e763162657461312e4765744d6f64656c457661" .
+ "6c756174696f6e526571756573741a2c2e676f6f676c652e636c6f75642e" .
+ "6175746f6d6c2e763162657461312e4d6f64656c4576616c756174696f6e" .
+ "224a82d3e493024412422f763162657461312f7b6e616d653d70726f6a65" .
+ "6374732f2a2f6c6f636174696f6e732f2a2f6d6f64656c732f2a2f6d6f64" .
+ "656c4576616c756174696f6e732f2a7d12d7010a144c6973744d6f64656c" .
+ "4576616c756174696f6e7312382e676f6f676c652e636c6f75642e617574" .
+ "6f6d6c2e763162657461312e4c6973744d6f64656c4576616c756174696f" .
+ "6e73526571756573741a392e676f6f676c652e636c6f75642e6175746f6d" .
+ "6c2e763162657461312e4c6973744d6f64656c4576616c756174696f6e73" .
+ "526573706f6e7365224a82d3e493024412422f763162657461312f7b7061" .
+ "72656e743d70726f6a656374732f2a2f6c6f636174696f6e732f2a2f6d6f" .
+ "64656c732f2a7d2f6d6f64656c4576616c756174696f6e731a49ca411561" .
+ "75746f6d6c2e676f6f676c65617069732e636f6dd2412e68747470733a2f" .
+ "2f7777772e676f6f676c65617069732e636f6d2f617574682f636c6f7564" .
+ "2d706c6174666f726d42b2010a1f636f6d2e676f6f676c652e636c6f7564" .
+ "2e6175746f6d6c2e76316265746131420b4175746f4d6c50726f746f5001" .
+ "5a41676f6f676c652e676f6c616e672e6f72672f67656e70726f746f2f67" .
+ "6f6f676c65617069732f636c6f75642f6175746f6d6c2f76316265746131" .
+ "3b6175746f6d6cca021b476f6f676c655c436c6f75645c4175746f4d6c5c" .
+ "56316265746131ea021e476f6f676c653a3a436c6f75643a3a4175746f4d" .
+ "4c3a3a56316265746131620670726f746f33"
), true);
static::$is_initialized = true;
diff --git a/AutoMl/src/V1beta1/DeployModelRequest.php b/AutoMl/src/V1beta1/DeployModelRequest.php
index 4143cf38da8a..e8625a8a8ad6 100644
--- a/AutoMl/src/V1beta1/DeployModelRequest.php
+++ b/AutoMl/src/V1beta1/DeployModelRequest.php
@@ -31,6 +31,8 @@ class DeployModelRequest extends \Google\Protobuf\Internal\Message
*
* @type \Google\Cloud\AutoMl\V1beta1\ImageObjectDetectionModelDeploymentMetadata $image_object_detection_model_deployment_metadata
* Model deployment metadata specific to Image Object Detection.
+ * @type \Google\Cloud\AutoMl\V1beta1\ImageClassificationModelDeploymentMetadata $image_classification_model_deployment_metadata
+ * Model deployment metadata specific to Image Classification.
* @type string $name
* Resource name of the model to deploy.
* }
@@ -66,6 +68,32 @@ public function setImageObjectDetectionModelDeploymentMetadata($var)
return $this;
}
+ /**
+ * Model deployment metadata specific to Image Classification.
+ *
+ * Generated from protobuf field .google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4;
+ * @return \Google\Cloud\AutoMl\V1beta1\ImageClassificationModelDeploymentMetadata
+ */
+ public function getImageClassificationModelDeploymentMetadata()
+ {
+ return $this->readOneof(4);
+ }
+
+ /**
+ * Model deployment metadata specific to Image Classification.
+ *
+ * Generated from protobuf field .google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata image_classification_model_deployment_metadata = 4;
+ * @param \Google\Cloud\AutoMl\V1beta1\ImageClassificationModelDeploymentMetadata $var
+ * @return $this
+ */
+ public function setImageClassificationModelDeploymentMetadata($var)
+ {
+ GPBUtil::checkMessage($var, \Google\Cloud\AutoMl\V1beta1\ImageClassificationModelDeploymentMetadata::class);
+ $this->writeOneof(4, $var);
+
+ return $this;
+ }
+
/**
* Resource name of the model to deploy.
*
diff --git a/AutoMl/src/V1beta1/Gapic/AutoMlGapicClient.php b/AutoMl/src/V1beta1/Gapic/AutoMlGapicClient.php
index da48e0594076..d9cc6ea845e9 100644
--- a/AutoMl/src/V1beta1/Gapic/AutoMlGapicClient.php
+++ b/AutoMl/src/V1beta1/Gapic/AutoMlGapicClient.php
@@ -55,6 +55,7 @@
use Google\Cloud\AutoMl\V1beta1\GetModelEvaluationRequest;
use Google\Cloud\AutoMl\V1beta1\GetModelRequest;
use Google\Cloud\AutoMl\V1beta1\GetTableSpecRequest;
+use Google\Cloud\AutoMl\V1beta1\ImageClassificationModelDeploymentMetadata;
use Google\Cloud\AutoMl\V1beta1\ImageObjectDetectionModelDeploymentMetadata;
use Google\Cloud\AutoMl\V1beta1\ImportDataRequest;
use Google\Cloud\AutoMl\V1beta1\InputConfig;
@@ -1412,6 +1413,8 @@ public function deleteModel($name, array $optionalArgs = [])
*
* @type ImageObjectDetectionModelDeploymentMetadata $imageObjectDetectionModelDeploymentMetadata
* Model deployment metadata specific to Image Object Detection.
+ * @type ImageClassificationModelDeploymentMetadata $imageClassificationModelDeploymentMetadata
+ * Model deployment metadata specific to Image Classification.
* @type RetrySettings|array $retrySettings
* Retry settings to use for this call. Can be a
* {@see Google\ApiCore\RetrySettings} object, or an associative array
@@ -1431,6 +1434,9 @@ public function deployModel($name, array $optionalArgs = [])
if (isset($optionalArgs['imageObjectDetectionModelDeploymentMetadata'])) {
$request->setImageObjectDetectionModelDeploymentMetadata($optionalArgs['imageObjectDetectionModelDeploymentMetadata']);
}
+ if (isset($optionalArgs['imageClassificationModelDeploymentMetadata'])) {
+ $request->setImageClassificationModelDeploymentMetadata($optionalArgs['imageClassificationModelDeploymentMetadata']);
+ }
$requestParams = new RequestParamsHeaderDescriptor([
'name' => $request->getName(),
diff --git a/AutoMl/src/V1beta1/ImageClassificationModelDeploymentMetadata.php b/AutoMl/src/V1beta1/ImageClassificationModelDeploymentMetadata.php
new file mode 100644
index 000000000000..963b22909106
--- /dev/null
+++ b/AutoMl/src/V1beta1/ImageClassificationModelDeploymentMetadata.php
@@ -0,0 +1,83 @@
+google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata
+ */
+class ImageClassificationModelDeploymentMetadata extends \Google\Protobuf\Internal\Message
+{
+ /**
+ * Input only. The number of nodes to deploy the model on. A node is an
+ * abstraction of a machine resource, which can handle online prediction QPS
+ * as given in the model's
+ * [node_qps][google.cloud.automl.v1p1beta.ImageClassificationModelMetadata.node_qps].
+ * Must be between 1 and 100, inclusive on both ends.
+ *
+ * Generated from protobuf field int64 node_count = 1;
+ */
+ private $node_count = 0;
+
+ /**
+ * Constructor.
+ *
+ * @param array $data {
+ * Optional. Data for populating the Message object.
+ *
+ * @type int|string $node_count
+ * Input only. The number of nodes to deploy the model on. A node is an
+ * abstraction of a machine resource, which can handle online prediction QPS
+ * as given in the model's
+ * [node_qps][google.cloud.automl.v1p1beta.ImageClassificationModelMetadata.node_qps].
+ * Must be between 1 and 100, inclusive on both ends.
+ * }
+ */
+ public function __construct($data = NULL) {
+ \GPBMetadata\Google\Cloud\Automl\V1Beta1\Image::initOnce();
+ parent::__construct($data);
+ }
+
+ /**
+ * Input only. The number of nodes to deploy the model on. A node is an
+ * abstraction of a machine resource, which can handle online prediction QPS
+ * as given in the model's
+ * [node_qps][google.cloud.automl.v1p1beta.ImageClassificationModelMetadata.node_qps].
+ * Must be between 1 and 100, inclusive on both ends.
+ *
+ * Generated from protobuf field int64 node_count = 1;
+ * @return int|string
+ */
+ public function getNodeCount()
+ {
+ return $this->node_count;
+ }
+
+ /**
+ * Input only. The number of nodes to deploy the model on. A node is an
+ * abstraction of a machine resource, which can handle online prediction QPS
+ * as given in the model's
+ * [node_qps][google.cloud.automl.v1p1beta.ImageClassificationModelMetadata.node_qps].
+ * Must be between 1 and 100, inclusive on both ends.
+ *
+ * Generated from protobuf field int64 node_count = 1;
+ * @param int|string $var
+ * @return $this
+ */
+ public function setNodeCount($var)
+ {
+ GPBUtil::checkInt64($var);
+ $this->node_count = $var;
+
+ return $this;
+ }
+
+}
+
diff --git a/AutoMl/src/V1beta1/ImageClassificationModelMetadata.php b/AutoMl/src/V1beta1/ImageClassificationModelMetadata.php
index 9013562664d8..81163f01fe6d 100644
--- a/AutoMl/src/V1beta1/ImageClassificationModelMetadata.php
+++ b/AutoMl/src/V1beta1/ImageClassificationModelMetadata.php
@@ -53,34 +53,38 @@ class ImageClassificationModelMetadata extends \Google\Protobuf\Internal\Message
* This is the default value.
* * `mobile-low-latency-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
- * with TensorFlow afterwards. Expected to have low latency, but
- * may have lower prediction quality than other models.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile or edge device with TensorFlow
+ * afterwards. Expected to have low latency, but may have lower
+ * prediction quality than other models.
* * `mobile-versatile-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
- * with TensorFlow afterwards.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile or edge device with TensorFlow
+ * afterwards.
* * `mobile-high-accuracy-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
- * with TensorFlow afterwards. Expected to have a higher
- * latency, but should also have a higher prediction quality
- * than other models.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile or edge device with TensorFlow
+ * afterwards. Expected to have a higher latency, but should
+ * also have a higher prediction quality than other models.
* * `mobile-core-ml-low-latency-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
- * ML afterwards. Expected to have low latency, but may have
- * lower prediction quality than other models.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile device with Core ML afterwards. Expected
+ * to have low latency, but may have lower prediction quality
+ * than other models.
* * `mobile-core-ml-versatile-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
- * ML afterwards.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile device with Core ML afterwards.
* * `mobile-core-ml-high-accuracy-1` - A model that, in addition to
* providing prediction via AutoML API, can also be exported
- * (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
- * Core ML afterwards. Expected to have a higher latency, but
- * should also have a higher prediction quality than other
- * models.
+ * (see
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile device with Core ML afterwards. Expected
+ * to have a higher latency, but should also have a higher
+ * prediction quality than other models.
*
* Generated from protobuf field string model_type = 7;
*/
@@ -114,34 +118,38 @@ class ImageClassificationModelMetadata extends \Google\Protobuf\Internal\Message
* This is the default value.
* * `mobile-low-latency-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
- * with TensorFlow afterwards. Expected to have low latency, but
- * may have lower prediction quality than other models.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile or edge device with TensorFlow
+ * afterwards. Expected to have low latency, but may have lower
+ * prediction quality than other models.
* * `mobile-versatile-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
- * with TensorFlow afterwards.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile or edge device with TensorFlow
+ * afterwards.
* * `mobile-high-accuracy-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
- * with TensorFlow afterwards. Expected to have a higher
- * latency, but should also have a higher prediction quality
- * than other models.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile or edge device with TensorFlow
+ * afterwards. Expected to have a higher latency, but should
+ * also have a higher prediction quality than other models.
* * `mobile-core-ml-low-latency-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
- * ML afterwards. Expected to have low latency, but may have
- * lower prediction quality than other models.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile device with Core ML afterwards. Expected
+ * to have low latency, but may have lower prediction quality
+ * than other models.
* * `mobile-core-ml-versatile-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
- * ML afterwards.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile device with Core ML afterwards.
* * `mobile-core-ml-high-accuracy-1` - A model that, in addition to
* providing prediction via AutoML API, can also be exported
- * (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
- * Core ML afterwards. Expected to have a higher latency, but
- * should also have a higher prediction quality than other
- * models.
+ * (see
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile device with Core ML afterwards. Expected
+ * to have a higher latency, but should also have a higher
+ * prediction quality than other models.
* }
*/
public function __construct($data = NULL) {
@@ -275,34 +283,38 @@ public function setStopReason($var)
* This is the default value.
* * `mobile-low-latency-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
- * with TensorFlow afterwards. Expected to have low latency, but
- * may have lower prediction quality than other models.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile or edge device with TensorFlow
+ * afterwards. Expected to have low latency, but may have lower
+ * prediction quality than other models.
* * `mobile-versatile-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
- * with TensorFlow afterwards.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile or edge device with TensorFlow
+ * afterwards.
* * `mobile-high-accuracy-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
- * with TensorFlow afterwards. Expected to have a higher
- * latency, but should also have a higher prediction quality
- * than other models.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile or edge device with TensorFlow
+ * afterwards. Expected to have a higher latency, but should
+ * also have a higher prediction quality than other models.
* * `mobile-core-ml-low-latency-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
- * ML afterwards. Expected to have low latency, but may have
- * lower prediction quality than other models.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile device with Core ML afterwards. Expected
+ * to have low latency, but may have lower prediction quality
+ * than other models.
* * `mobile-core-ml-versatile-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
- * ML afterwards.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile device with Core ML afterwards.
* * `mobile-core-ml-high-accuracy-1` - A model that, in addition to
* providing prediction via AutoML API, can also be exported
- * (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
- * Core ML afterwards. Expected to have a higher latency, but
- * should also have a higher prediction quality than other
- * models.
+ * (see
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile device with Core ML afterwards. Expected
+ * to have a higher latency, but should also have a higher
+ * prediction quality than other models.
*
* Generated from protobuf field string model_type = 7;
* @return string
@@ -318,34 +330,38 @@ public function getModelType()
* This is the default value.
* * `mobile-low-latency-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
- * with TensorFlow afterwards. Expected to have low latency, but
- * may have lower prediction quality than other models.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile or edge device with TensorFlow
+ * afterwards. Expected to have low latency, but may have lower
+ * prediction quality than other models.
* * `mobile-versatile-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
- * with TensorFlow afterwards.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile or edge device with TensorFlow
+ * afterwards.
* * `mobile-high-accuracy-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
- * with TensorFlow afterwards. Expected to have a higher
- * latency, but should also have a higher prediction quality
- * than other models.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile or edge device with TensorFlow
+ * afterwards. Expected to have a higher latency, but should
+ * also have a higher prediction quality than other models.
* * `mobile-core-ml-low-latency-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
- * ML afterwards. Expected to have low latency, but may have
- * lower prediction quality than other models.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile device with Core ML afterwards. Expected
+ * to have low latency, but may have lower prediction quality
+ * than other models.
* * `mobile-core-ml-versatile-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
- * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
- * ML afterwards.
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile device with Core ML afterwards.
* * `mobile-core-ml-high-accuracy-1` - A model that, in addition to
* providing prediction via AutoML API, can also be exported
- * (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
- * Core ML afterwards. Expected to have a higher latency, but
- * should also have a higher prediction quality than other
- * models.
+ * (see
+ * [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel])
+ * and used on a mobile device with Core ML afterwards. Expected
+ * to have a higher latency, but should also have a higher
+ * prediction quality than other models.
*
* Generated from protobuf field string model_type = 7;
* @param string $var
diff --git a/AutoMl/synth.metadata b/AutoMl/synth.metadata
index cdd6115d1c79..627feaabece2 100644
--- a/AutoMl/synth.metadata
+++ b/AutoMl/synth.metadata
@@ -1,19 +1,19 @@
{
- "updateTime": "2019-09-11T09:58:47.612023Z",
+ "updateTime": "2019-09-24T09:58:37.390085Z",
"sources": [
{
"generator": {
"name": "artman",
- "version": "0.36.2",
- "dockerImage": "googleapis/artman@sha256:0e6f3a668cd68afc768ecbe08817cf6e56a0e64fcbdb1c58c3b97492d12418a1"
+ "version": "0.37.0",
+ "dockerImage": "googleapis/artman@sha256:0f66008f69061ea6d41499e2a34da3fc64fc7c9798077e3a37158653a135d801"
}
},
{
"git": {
"name": "googleapis",
"remote": "https://github.com/googleapis/googleapis.git",
- "sha": "f1c042777e90baae0f8590f7820eed2c6ef758b2",
- "internalRef": "268319807"
+ "sha": "cc332bd19c2dd9640b025e5693e83a1b428d5dff",
+ "internalRef": "270834186"
}
}
],