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Regenerate MachineLearning client (#8242)
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This PR was generated using Autosynth. 🌈


<details><summary>Log from Synthtool</summary>

```
2021-07-20 06:22:20,881 synthtool [DEBUG] > Executing /home/kbuilder/.cache/synthtool/elixir-google-api/synth.py.
On branch autosynth-machinelearning
nothing to commit, working tree clean
2021-07-20 06:22:22,776 synthtool [DEBUG] > Running: docker run --rm -v/tmpfs/tmp/tmp9ow4pfys/repo:/workspace -v/var/run/docker.sock:/var/run/docker.sock -e USER_GROUP=1000:1000 -w /workspace gcr.io/cloud-devrel-public-resources/elixir19 scripts/generate_client.sh MachineLearning
DEBUG:synthtool:Running: docker run --rm -v/tmpfs/tmp/tmp9ow4pfys/repo:/workspace -v/var/run/docker.sock:/var/run/docker.sock -e USER_GROUP=1000:1000 -w /workspace gcr.io/cloud-devrel-public-resources/elixir19 scripts/generate_client.sh MachineLearning
/workspace /workspace
�[33mThe mix.lock file was generated with a newer version of Hex. Update your client by running `mix local.hex` to avoid losing data.�[0m
Resolving Hex dependencies...
Dependency resolution completed:
Unchanged:
  certifi 2.5.1
  google_api_discovery 0.7.0
  google_gax 0.3.2
  hackney 1.15.2
  idna 6.0.0
  jason 1.2.1
  metrics 1.0.1
  mime 1.3.1
  mimerl 1.2.0
  oauth2 0.9.4
  parse_trans 3.3.0
  poison 3.1.0
  ssl_verify_fun 1.1.5
  temp 0.4.7
  tesla 1.3.3
  unicode_util_compat 0.4.1
* Getting google_api_discovery (Hex package)
* Getting tesla (Hex package)
* Getting oauth2 (Hex package)
* Getting temp (Hex package)
* Getting jason (Hex package)
* Getting poison (Hex package)
* Getting hackney (Hex package)
* Getting certifi (Hex package)
* Getting idna (Hex package)
* Getting metrics (Hex package)
* Getting mimerl (Hex package)
* Getting ssl_verify_fun (Hex package)
* Getting unicode_util_compat (Hex package)
* Getting parse_trans (Hex package)
* Getting mime (Hex package)
* Getting google_gax (Hex package)
�[33mThe mix.lock file was generated with a newer version of Hex. Update your client by running `mix local.hex` to avoid losing data.�[0m
==> temp
Compiling 3 files (.ex)
Generated temp app
===> Compiling parse_trans
===> Compiling mimerl
===> Compiling metrics
===> Compiling unicode_util_compat
===> Compiling idna
==> jason
Compiling 8 files (.ex)
Generated jason app
warning: String.strip/1 is deprecated. Use String.trim/1 instead
  /workspace/deps/poison/mix.exs:4

==> poison
Compiling 4 files (.ex)
warning: Integer.to_char_list/2 is deprecated. Use Integer.to_charlist/2 instead
  lib/poison/encoder.ex:173

Generated poison app
==> ssl_verify_fun
Compiling 7 files (.erl)
Generated ssl_verify_fun app
===> Compiling certifi
===> Compiling hackney
==> oauth2
Compiling 13 files (.ex)
Generated oauth2 app
==> mime
Compiling 2 files (.ex)
Generated mime app
==> tesla
Compiling 26 files (.ex)
Generated tesla app
==> google_gax
Compiling 5 files (.ex)
Generated google_gax app
==> google_api_discovery
Compiling 21 files (.ex)
Generated google_api_discovery app
==> google_apis
Compiling 28 files (.ex)
Generated google_apis app

13:22:55.263 [info]  FETCHING: https://ml.googleapis.com/$discovery/GOOGLE_REST_SIMPLE_URI?version=v1

13:22:55.628 [info]  FOUND: https://ml.googleapis.com/$discovery/GOOGLE_REST_SIMPLE_URI?version=v1
Revision check: old=20210611, new=20210709, generating=true
Creating leading directories
Writing GoogleApi_HttpBody to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_api__http_body.ex.
Writing GoogleCloudMlV1_AcceleratorConfig to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__accelerator_config.ex.
Writing GoogleCloudMlV1_AddTrialMeasurementRequest to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__add_trial_measurement_request.ex.
Writing GoogleCloudMlV1_AutoScaling to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__auto_scaling.ex.
Writing GoogleCloudMlV1_AutomatedStoppingConfig to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__automated_stopping_config.ex.
Writing GoogleCloudMlV1_AutomatedStoppingConfig_DecayCurveAutomatedStoppingConfig to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__automated_stopping_config__decay_curve_automated_stopping_config.ex.
Writing GoogleCloudMlV1_AutomatedStoppingConfig_MedianAutomatedStoppingConfig to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__automated_stopping_config__median_automated_stopping_config.ex.
Writing GoogleCloudMlV1_BuiltInAlgorithmOutput to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__built_in_algorithm_output.ex.
Writing GoogleCloudMlV1_CancelJobRequest to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__cancel_job_request.ex.
Writing GoogleCloudMlV1_Capability to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__capability.ex.
Writing GoogleCloudMlV1_CheckTrialEarlyStoppingStateMetatdata to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__check_trial_early_stopping_state_metatdata.ex.
Writing GoogleCloudMlV1_CheckTrialEarlyStoppingStateRequest to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__check_trial_early_stopping_state_request.ex.
Writing GoogleCloudMlV1_CheckTrialEarlyStoppingStateResponse to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__check_trial_early_stopping_state_response.ex.
Writing GoogleCloudMlV1_CompleteTrialRequest to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__complete_trial_request.ex.
Writing GoogleCloudMlV1_Config to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__config.ex.
Writing GoogleCloudMlV1_ContainerPort to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__container_port.ex.
Writing GoogleCloudMlV1_ContainerSpec to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__container_spec.ex.
Writing GoogleCloudMlV1_DiskConfig to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__disk_config.ex.
Writing GoogleCloudMlV1_EncryptionConfig to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__encryption_config.ex.
Writing GoogleCloudMlV1_EnvVar to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__env_var.ex.
Writing GoogleCloudMlV1_ExplainRequest to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__explain_request.ex.
Writing GoogleCloudMlV1_ExplanationConfig to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__explanation_config.ex.
Writing GoogleCloudMlV1_GetConfigResponse to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__get_config_response.ex.
Writing GoogleCloudMlV1_HyperparameterOutput to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__hyperparameter_output.ex.
Writing GoogleCloudMlV1_HyperparameterOutput_HyperparameterMetric to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__hyperparameter_output__hyperparameter_metric.ex.
Writing GoogleCloudMlV1_HyperparameterSpec to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__hyperparameter_spec.ex.
Writing GoogleCloudMlV1_IntegratedGradientsAttribution to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__integrated_gradients_attribution.ex.
Writing GoogleCloudMlV1_Job to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__job.ex.
Writing GoogleCloudMlV1_ListJobsResponse to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__list_jobs_response.ex.
Writing GoogleCloudMlV1_ListLocationsResponse to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__list_locations_response.ex.
Writing GoogleCloudMlV1_ListModelsResponse to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__list_models_response.ex.
Writing GoogleCloudMlV1_ListOptimalTrialsRequest to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__list_optimal_trials_request.ex.
Writing GoogleCloudMlV1_ListOptimalTrialsResponse to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__list_optimal_trials_response.ex.
Writing GoogleCloudMlV1_ListStudiesResponse to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__list_studies_response.ex.
Writing GoogleCloudMlV1_ListTrialsResponse to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__list_trials_response.ex.
Writing GoogleCloudMlV1_ListVersionsResponse to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__list_versions_response.ex.
Writing GoogleCloudMlV1_Location to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__location.ex.
Writing GoogleCloudMlV1_ManualScaling to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__manual_scaling.ex.
Writing GoogleCloudMlV1_Measurement to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__measurement.ex.
Writing GoogleCloudMlV1_Measurement_Metric to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__measurement__metric.ex.
Writing GoogleCloudMlV1_MetricSpec to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__metric_spec.ex.
Writing GoogleCloudMlV1_Model to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__model.ex.
Writing GoogleCloudMlV1_OperationMetadata to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__operation_metadata.ex.
Writing GoogleCloudMlV1_ParameterSpec to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__parameter_spec.ex.
Writing GoogleCloudMlV1_PredictRequest to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__predict_request.ex.
Writing GoogleCloudMlV1_PredictionInput to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__prediction_input.ex.
Writing GoogleCloudMlV1_PredictionOutput to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__prediction_output.ex.
Writing GoogleCloudMlV1_ReplicaConfig to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__replica_config.ex.
Writing GoogleCloudMlV1_RequestLoggingConfig to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__request_logging_config.ex.
Writing GoogleCloudMlV1_RouteMap to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__route_map.ex.
Writing GoogleCloudMlV1_SampledShapleyAttribution to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__sampled_shapley_attribution.ex.
Writing GoogleCloudMlV1_Scheduling to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__scheduling.ex.
Writing GoogleCloudMlV1_SetDefaultVersionRequest to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__set_default_version_request.ex.
Writing GoogleCloudMlV1_StopTrialRequest to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__stop_trial_request.ex.
Writing GoogleCloudMlV1_Study to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__study.ex.
Writing GoogleCloudMlV1_StudyConfig to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__study_config.ex.
Writing GoogleCloudMlV1_StudyConfigParameterSpec_CategoricalValueSpec to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__study_config_parameter_spec__categorical_value_spec.ex.
Writing GoogleCloudMlV1_StudyConfigParameterSpec_DiscreteValueSpec to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__study_config_parameter_spec__discrete_value_spec.ex.
Writing GoogleCloudMlV1_StudyConfigParameterSpec_DoubleValueSpec to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__study_config_parameter_spec__double_value_spec.ex.
Writing GoogleCloudMlV1_StudyConfigParameterSpec_IntegerValueSpec to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__study_config_parameter_spec__integer_value_spec.ex.
Writing GoogleCloudMlV1_StudyConfigParameterSpec_MatchingParentCategoricalValueSpec to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__study_config_parameter_spec__matching_parent_categorical_value_spec.ex.
Writing GoogleCloudMlV1_StudyConfigParameterSpec_MatchingParentDiscreteValueSpec to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__study_config_parameter_spec__matching_parent_discrete_value_spec.ex.
Writing GoogleCloudMlV1_StudyConfigParameterSpec_MatchingParentIntValueSpec to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__study_config_parameter_spec__matching_parent_int_value_spec.ex.
Writing GoogleCloudMlV1_StudyConfig_MetricSpec to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__study_config__metric_spec.ex.
Writing GoogleCloudMlV1_StudyConfig_ParameterSpec to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__study_config__parameter_spec.ex.
Writing GoogleCloudMlV1_SuggestTrialsMetadata to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__suggest_trials_metadata.ex.
Writing GoogleCloudMlV1_SuggestTrialsRequest to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__suggest_trials_request.ex.
Writing GoogleCloudMlV1_SuggestTrialsResponse to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__suggest_trials_response.ex.
Writing GoogleCloudMlV1_TrainingInput to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__training_input.ex.
Writing GoogleCloudMlV1_TrainingOutput to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__training_output.ex.
Writing GoogleCloudMlV1_Trial to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__trial.ex.
Writing GoogleCloudMlV1_Trial_Parameter to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__trial__parameter.ex.
Writing GoogleCloudMlV1_Version to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__version.ex.
Writing GoogleCloudMlV1_XraiAttribution to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__xrai_attribution.ex.
Writing GoogleIamV1_AuditConfig to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_iam_v1__audit_config.ex.
Writing GoogleIamV1_AuditLogConfig to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_iam_v1__audit_log_config.ex.
Writing GoogleIamV1_Binding to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_iam_v1__binding.ex.
Writing GoogleIamV1_Policy to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_iam_v1__policy.ex.
Writing GoogleIamV1_SetIamPolicyRequest to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_iam_v1__set_iam_policy_request.ex.
Writing GoogleIamV1_TestIamPermissionsRequest to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_iam_v1__test_iam_permissions_request.ex.
Writing GoogleIamV1_TestIamPermissionsResponse to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_iam_v1__test_iam_permissions_response.ex.
Writing GoogleLongrunning_ListOperationsResponse to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_longrunning__list_operations_response.ex.
Writing GoogleLongrunning_Operation to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_longrunning__operation.ex.
Writing GoogleProtobuf_Empty to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_protobuf__empty.ex.
Writing GoogleRpc_Status to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_rpc__status.ex.
Writing GoogleType_Expr to clients/machine_learning/lib/google_api/machine_learning/v1/model/google_type__expr.ex.
Writing Projects to clients/machine_learning/lib/google_api/machine_learning/v1/api/projects.ex.
Writing connection.ex.
Writing metadata.ex.
Writing mix.exs
Writing README.md
Writing LICENSE
Writing .gitignore
Writing config/config.exs
Writing test/test_helper.exs
�[33mThe mix.lock file was generated with a newer version of Hex. Update your client by running `mix local.hex` to avoid losing data.�[0m

13:22:57.391 [info]  Bumping minor
fixing file permissions
2021-07-20 06:23:00,347 synthtool [DEBUG] > Wrote metadata to clients/machine_learning/synth.metadata.
DEBUG:synthtool:Wrote metadata to clients/machine_learning/synth.metadata.

```
</details>

Full log will be available here:
https://source.cloud.google.com/results/invocations/6af438aa-871e-417a-932a-ac643e482a7f/targets

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@yoshi-automation
yoshi-automation authored Jul 20, 2021
1 parent fb5496a commit 33de45f
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2 changes: 1 addition & 1 deletion clients/machine_learning/README.md
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Expand Up @@ -11,7 +11,7 @@ Install this package from [Hex](https://hex.pm) by adding

```elixir
def deps do
[{:google_api_machine_learning, "~> 0.26"}]
[{:google_api_machine_learning, "~> 0.27"}]
end
```

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2 changes: 1 addition & 1 deletion clients/machine_learning/lib/google_api/machine_learning/v1/metadata.ex
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Expand Up @@ -20,7 +20,7 @@ defmodule GoogleApi.MachineLearning.V1 do
API client metadata for GoogleApi.MachineLearning.V1.
"""

@discovery_revision "20210611"
@discovery_revision "20210709"

def discovery_revision(), do: @discovery_revision
end
5 changes: 4 additions & 1 deletion ...chine_learning/lib/google_api/machine_learning/v1/model/google_cloud_ml_v1__scheduling.ex
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Expand Up @@ -23,17 +23,20 @@ defmodule GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Scheduling do
* `maxRunningTime` (*type:* `String.t`, *default:* `nil`) - Optional. The maximum job running time, expressed in seconds. The field can contain up to nine fractional digits, terminated by `s`. If not specified, this field defaults to `604800s` (seven days). If the training job is still running after this duration, AI Platform Training cancels it. The duration is measured from when the job enters the `RUNNING` state; therefore it does not overlap with the duration limited by Scheduling.max_wait_time. For example, if you want to ensure your job runs for no more than 2 hours, set this field to `7200s` (2 hours * 60 minutes / hour * 60 seconds / minute). If you submit your training job using the `gcloud` tool, you can [specify this field in a `config.yaml` file](/ai-platform/training/docs/training-jobs#formatting_your_configuration_parameters). For example: ```yaml trainingInput: scheduling: maxRunningTime: 7200s ```
* `maxWaitTime` (*type:* `String.t`, *default:* `nil`) - Optional. The maximum job wait time, expressed in seconds. The field can contain up to nine fractional digits, terminated by `s`. If not specified, there is no limit to the wait time. The minimum for this field is `1800s` (30 minutes). If the training job has not entered the `RUNNING` state after this duration, AI Platform Training cancels it. After the job begins running, it can no longer be cancelled due to the maximum wait time. Therefore the duration limited by this field does not overlap with the duration limited by Scheduling.max_running_time. For example, if the job temporarily stops running and retries due to a [VM restart](/ai-platform/training/docs/overview#restarts), this cannot lead to a maximum wait time cancellation. However, independently of this constraint, AI Platform Training might stop a job if there are too many retries due to exhausted resources in a region. The following example describes how you might use this field: To cancel your job if it doesn't start running within 1 hour, set this field to `3600s` (1 hour * 60 minutes / hour * 60 seconds / minute). If the job is still in the `QUEUED` or `PREPARING` state after an hour of waiting, AI Platform Training cancels the job. If you submit your training job using the `gcloud` tool, you can [specify this field in a `config.yaml` file](/ai-platform/training/docs/training-jobs#formatting_your_configuration_parameters). For example: ```yaml trainingInput: scheduling: maxWaitTime: 3600s ```
* `priority` (*type:* `integer()`, *default:* `nil`) - Optional. Job scheduling will be based on this priority, which in the range [0, 1000]. The bigger the number, the higher the priority. Default to 0 if not set. If there are multiple jobs requesting same type of accelerators, the high priority job will be scheduled prior to ones with low priority.
"""

use GoogleApi.Gax.ModelBase

@type t :: %__MODULE__{
:maxRunningTime => String.t() | nil,
:maxWaitTime => String.t() | nil
:maxWaitTime => String.t() | nil,
:priority => integer() | nil
}

field(:maxRunningTime)
field(:maxWaitTime)
field(:priority)
end

defimpl Poison.Decoder, for: GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Scheduling do
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2 changes: 1 addition & 1 deletion clients/machine_learning/mix.exs
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Expand Up @@ -18,7 +18,7 @@
defmodule GoogleApi.MachineLearning.Mixfile do
use Mix.Project

@version "0.26.0"
@version "0.27.0"

def project() do
[
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2 changes: 1 addition & 1 deletion clients/machine_learning/synth.metadata
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Expand Up @@ -4,7 +4,7 @@
"git": {
"name": ".",
"remote": "https://github.com/googleapis/elixir-google-api.git",
"sha": "9c28f3f46bd647735b4df9def2f213b27c616b3c"
"sha": "fb5496a7c8cf3dc5604d29729267a95597233761"
}
}
]
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