Class: Aws::LookoutEquipment::Client
- Inherits:
-
Seahorse::Client::Base
- Object
- Seahorse::Client::Base
- Aws::LookoutEquipment::Client
- Includes:
- ClientStubs
- Defined in:
- gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb
Overview
An API client for LookoutEquipment. To construct a client, you need to configure a :region
and :credentials
.
client = Aws::LookoutEquipment::Client.new(
region: region_name,
credentials: credentials,
# ...
)
For details on configuring region and credentials see the developer guide.
See #initialize for a full list of supported configuration options.
Instance Attribute Summary
Attributes inherited from Seahorse::Client::Base
API Operations collapse
-
#create_dataset(params = {}) ⇒ Types::CreateDatasetResponse
Creates a container for a collection of data being ingested for analysis.
-
#create_inference_scheduler(params = {}) ⇒ Types::CreateInferenceSchedulerResponse
Creates a scheduled inference.
-
#create_label(params = {}) ⇒ Types::CreateLabelResponse
Creates a label for an event.
-
#create_label_group(params = {}) ⇒ Types::CreateLabelGroupResponse
Creates a group of labels.
-
#create_model(params = {}) ⇒ Types::CreateModelResponse
Creates a machine learning model for data inference.
-
#create_retraining_scheduler(params = {}) ⇒ Types::CreateRetrainingSchedulerResponse
Creates a retraining scheduler on the specified model.
-
#delete_dataset(params = {}) ⇒ Struct
Deletes a dataset and associated artifacts.
-
#delete_inference_scheduler(params = {}) ⇒ Struct
Deletes an inference scheduler that has been set up.
-
#delete_label(params = {}) ⇒ Struct
Deletes a label.
-
#delete_label_group(params = {}) ⇒ Struct
Deletes a group of labels.
-
#delete_model(params = {}) ⇒ Struct
Deletes a machine learning model currently available for Amazon Lookout for Equipment.
-
#delete_resource_policy(params = {}) ⇒ Struct
Deletes the resource policy attached to the resource.
-
#delete_retraining_scheduler(params = {}) ⇒ Struct
Deletes a retraining scheduler from a model.
-
#describe_data_ingestion_job(params = {}) ⇒ Types::DescribeDataIngestionJobResponse
Provides information on a specific data ingestion job such as creation time, dataset ARN, and status.
-
#describe_dataset(params = {}) ⇒ Types::DescribeDatasetResponse
Provides a JSON description of the data in each time series dataset, including names, column names, and data types.
-
#describe_inference_scheduler(params = {}) ⇒ Types::DescribeInferenceSchedulerResponse
Specifies information about the inference scheduler being used, including name, model, status, and associated metadata.
-
#describe_label(params = {}) ⇒ Types::DescribeLabelResponse
Returns the name of the label.
-
#describe_label_group(params = {}) ⇒ Types::DescribeLabelGroupResponse
Returns information about the label group.
-
#describe_model(params = {}) ⇒ Types::DescribeModelResponse
Provides a JSON containing the overall information about a specific machine learning model, including model name and ARN, dataset, training and evaluation information, status, and so on.
-
#describe_model_version(params = {}) ⇒ Types::DescribeModelVersionResponse
Retrieves information about a specific machine learning model version.
-
#describe_resource_policy(params = {}) ⇒ Types::DescribeResourcePolicyResponse
Provides the details of a resource policy attached to a resource.
-
#describe_retraining_scheduler(params = {}) ⇒ Types::DescribeRetrainingSchedulerResponse
Provides a description of the retraining scheduler, including information such as the model name and retraining parameters.
-
#import_dataset(params = {}) ⇒ Types::ImportDatasetResponse
Imports a dataset.
-
#import_model_version(params = {}) ⇒ Types::ImportModelVersionResponse
Imports a model that has been trained successfully.
-
#list_data_ingestion_jobs(params = {}) ⇒ Types::ListDataIngestionJobsResponse
Provides a list of all data ingestion jobs, including dataset name and ARN, S3 location of the input data, status, and so on.
-
#list_datasets(params = {}) ⇒ Types::ListDatasetsResponse
Lists all datasets currently available in your account, filtering on the dataset name.
-
#list_inference_events(params = {}) ⇒ Types::ListInferenceEventsResponse
Lists all inference events that have been found for the specified inference scheduler.
-
#list_inference_executions(params = {}) ⇒ Types::ListInferenceExecutionsResponse
Lists all inference executions that have been performed by the specified inference scheduler.
-
#list_inference_schedulers(params = {}) ⇒ Types::ListInferenceSchedulersResponse
Retrieves a list of all inference schedulers currently available for your account.
-
#list_label_groups(params = {}) ⇒ Types::ListLabelGroupsResponse
Returns a list of the label groups.
-
#list_labels(params = {}) ⇒ Types::ListLabelsResponse
Provides a list of labels.
-
#list_model_versions(params = {}) ⇒ Types::ListModelVersionsResponse
Generates a list of all model versions for a given model, including the model version, model version ARN, and status.
-
#list_models(params = {}) ⇒ Types::ListModelsResponse
Generates a list of all models in the account, including model name and ARN, dataset, and status.
-
#list_retraining_schedulers(params = {}) ⇒ Types::ListRetrainingSchedulersResponse
Lists all retraining schedulers in your account, filtering by model name prefix and status.
-
#list_sensor_statistics(params = {}) ⇒ Types::ListSensorStatisticsResponse
Lists statistics about the data collected for each of the sensors that have been successfully ingested in the particular dataset.
-
#list_tags_for_resource(params = {}) ⇒ Types::ListTagsForResourceResponse
Lists all the tags for a specified resource, including key and value.
-
#put_resource_policy(params = {}) ⇒ Types::PutResourcePolicyResponse
Creates a resource control policy for a given resource.
-
#start_data_ingestion_job(params = {}) ⇒ Types::StartDataIngestionJobResponse
Starts a data ingestion job.
-
#start_inference_scheduler(params = {}) ⇒ Types::StartInferenceSchedulerResponse
Starts an inference scheduler.
-
#start_retraining_scheduler(params = {}) ⇒ Types::StartRetrainingSchedulerResponse
Starts a retraining scheduler.
-
#stop_inference_scheduler(params = {}) ⇒ Types::StopInferenceSchedulerResponse
Stops an inference scheduler.
-
#stop_retraining_scheduler(params = {}) ⇒ Types::StopRetrainingSchedulerResponse
Stops a retraining scheduler.
-
#tag_resource(params = {}) ⇒ Struct
Associates a given tag to a resource in your account.
-
#untag_resource(params = {}) ⇒ Struct
Removes a specific tag from a given resource.
-
#update_active_model_version(params = {}) ⇒ Types::UpdateActiveModelVersionResponse
Sets the active model version for a given machine learning model.
-
#update_inference_scheduler(params = {}) ⇒ Struct
Updates an inference scheduler.
-
#update_label_group(params = {}) ⇒ Struct
Updates the label group.
-
#update_model(params = {}) ⇒ Struct
Updates a model in the account.
-
#update_retraining_scheduler(params = {}) ⇒ Struct
Updates a retraining scheduler.
Instance Method Summary collapse
-
#initialize(options) ⇒ Client
constructor
A new instance of Client.
Methods included from ClientStubs
#api_requests, #stub_data, #stub_responses
Methods inherited from Seahorse::Client::Base
add_plugin, api, clear_plugins, define, new, #operation_names, plugins, remove_plugin, set_api, set_plugins
Methods included from Seahorse::Client::HandlerBuilder
#handle, #handle_request, #handle_response
Constructor Details
#initialize(options) ⇒ Client
Returns a new instance of Client.
441 442 443 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 441 def initialize(*args) super end |
Instance Method Details
#create_dataset(params = {}) ⇒ Types::CreateDatasetResponse
Creates a container for a collection of data being ingested for analysis. The dataset contains the metadata describing where the data is and what the data actually looks like. For example, it contains the location of the data source, the data schema, and other information. A dataset also contains any tags associated with the ingested data.
507 508 509 510 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 507 def create_dataset(params = {}, = {}) req = build_request(:create_dataset, params) req.send_request() end |
#create_inference_scheduler(params = {}) ⇒ Types::CreateInferenceSchedulerResponse
Creates a scheduled inference. Scheduling an inference is setting up a continuous real-time inference plan to analyze new measurement data. When setting up the schedule, you provide an S3 bucket location for the input data, assign it a delimiter between separate entries in the data, set an offset delay if desired, and set the frequency of inferencing. You must also provide an S3 bucket location for the output data.
639 640 641 642 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 639 def create_inference_scheduler(params = {}, = {}) req = build_request(:create_inference_scheduler, params) req.send_request() end |
#create_label(params = {}) ⇒ Types::CreateLabelResponse
Creates a label for an event.
712 713 714 715 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 712 def create_label(params = {}, = {}) req = build_request(:create_label, params) req.send_request() end |
#create_label_group(params = {}) ⇒ Types::CreateLabelGroupResponse
Creates a group of labels.
773 774 775 776 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 773 def create_label_group(params = {}, = {}) req = build_request(:create_label_group, params) req.send_request() end |
#create_model(params = {}) ⇒ Types::CreateModelResponse
Creates a machine learning model for data inference.
A machine-learning (ML) model is a mathematical model that finds patterns in your data. In Amazon Lookout for Equipment, the model learns the patterns of normal behavior and detects abnormal behavior that could be potential equipment failure (or maintenance events). The models are made by analyzing normal data and abnormalities in machine behavior that have already occurred.
Your model is trained using a portion of the data from your dataset and uses that data to learn patterns of normal behavior and abnormal patterns that lead to equipment failure. Another portion of the data is used to evaluate the model's accuracy.
916 917 918 919 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 916 def create_model(params = {}, = {}) req = build_request(:create_model, params) req.send_request() end |
#create_retraining_scheduler(params = {}) ⇒ Types::CreateRetrainingSchedulerResponse
Creates a retraining scheduler on the specified model.
1029 1030 1031 1032 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1029 def create_retraining_scheduler(params = {}, = {}) req = build_request(:create_retraining_scheduler, params) req.send_request() end |
#delete_dataset(params = {}) ⇒ Struct
Deletes a dataset and associated artifacts. The operation will check to see if any inference scheduler or data ingestion job is currently using the dataset, and if there isn't, the dataset, its metadata, and any associated data stored in S3 will be deleted. This does not affect any models that used this dataset for training and evaluation, but does prevent it from being used in the future.
1056 1057 1058 1059 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1056 def delete_dataset(params = {}, = {}) req = build_request(:delete_dataset, params) req.send_request() end |
#delete_inference_scheduler(params = {}) ⇒ Struct
Deletes an inference scheduler that has been set up. Prior inference results will not be deleted.
1079 1080 1081 1082 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1079 def delete_inference_scheduler(params = {}, = {}) req = build_request(:delete_inference_scheduler, params) req.send_request() end |
#delete_label(params = {}) ⇒ Struct
Deletes a label.
1107 1108 1109 1110 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1107 def delete_label(params = {}, = {}) req = build_request(:delete_label, params) req.send_request() end |
#delete_label_group(params = {}) ⇒ Struct
Deletes a group of labels.
1131 1132 1133 1134 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1131 def delete_label_group(params = {}, = {}) req = build_request(:delete_label_group, params) req.send_request() end |
#delete_model(params = {}) ⇒ Struct
Deletes a machine learning model currently available for Amazon Lookout for Equipment. This will prevent it from being used with an inference scheduler, even one that is already set up.
1155 1156 1157 1158 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1155 def delete_model(params = {}, = {}) req = build_request(:delete_model, params) req.send_request() end |
#delete_resource_policy(params = {}) ⇒ Struct
Deletes the resource policy attached to the resource.
1178 1179 1180 1181 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1178 def delete_resource_policy(params = {}, = {}) req = build_request(:delete_resource_policy, params) req.send_request() end |
#delete_retraining_scheduler(params = {}) ⇒ Struct
Deletes a retraining scheduler from a model. The retraining scheduler
must be in the STOPPED
status.
1208 1209 1210 1211 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1208 def delete_retraining_scheduler(params = {}, = {}) req = build_request(:delete_retraining_scheduler, params) req.send_request() end |
#describe_data_ingestion_job(params = {}) ⇒ Types::DescribeDataIngestionJobResponse
Provides information on a specific data ingestion job such as creation time, dataset ARN, and status.
1276 1277 1278 1279 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1276 def describe_data_ingestion_job(params = {}, = {}) req = build_request(:describe_data_ingestion_job, params) req.send_request() end |
#describe_dataset(params = {}) ⇒ Types::DescribeDatasetResponse
Provides a JSON description of the data in each time series dataset, including names, column names, and data types.
1344 1345 1346 1347 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1344 def describe_dataset(params = {}, = {}) req = build_request(:describe_dataset, params) req.send_request() end |
#describe_inference_scheduler(params = {}) ⇒ Types::DescribeInferenceSchedulerResponse
Specifies information about the inference scheduler being used, including name, model, status, and associated metadata
1405 1406 1407 1408 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1405 def describe_inference_scheduler(params = {}, = {}) req = build_request(:describe_inference_scheduler, params) req.send_request() end |
#describe_label(params = {}) ⇒ Types::DescribeLabelResponse
Returns the name of the label.
1455 1456 1457 1458 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1455 def describe_label(params = {}, = {}) req = build_request(:describe_label, params) req.send_request() end |
#describe_label_group(params = {}) ⇒ Types::DescribeLabelGroupResponse
Returns information about the label group.
1492 1493 1494 1495 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1492 def describe_label_group(params = {}, = {}) req = build_request(:describe_label_group, params) req.send_request() end |
#describe_model(params = {}) ⇒ Types::DescribeModelResponse
Provides a JSON containing the overall information about a specific machine learning model, including model name and ARN, dataset, training and evaluation information, status, and so on.
1608 1609 1610 1611 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1608 def describe_model(params = {}, = {}) req = build_request(:describe_model, params) req.send_request() end |
#describe_model_version(params = {}) ⇒ Types::DescribeModelVersionResponse
Retrieves information about a specific machine learning model version.
1713 1714 1715 1716 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1713 def describe_model_version(params = {}, = {}) req = build_request(:describe_model_version, params) req.send_request() end |
#describe_resource_policy(params = {}) ⇒ Types::DescribeResourcePolicyResponse
Provides the details of a resource policy attached to a resource.
1748 1749 1750 1751 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1748 def describe_resource_policy(params = {}, = {}) req = build_request(:describe_resource_policy, params) req.send_request() end |
#describe_retraining_scheduler(params = {}) ⇒ Types::DescribeRetrainingSchedulerResponse
Provides a description of the retraining scheduler, including information such as the model name and retraining parameters.
1813 1814 1815 1816 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1813 def describe_retraining_scheduler(params = {}, = {}) req = build_request(:describe_retraining_scheduler, params) req.send_request() end |
#import_dataset(params = {}) ⇒ Types::ImportDatasetResponse
Imports a dataset.
1876 1877 1878 1879 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1876 def import_dataset(params = {}, = {}) req = build_request(:import_dataset, params) req.send_request() end |
#import_model_version(params = {}) ⇒ Types::ImportModelVersionResponse
Imports a model that has been trained successfully.
1974 1975 1976 1977 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1974 def import_model_version(params = {}, = {}) req = build_request(:import_model_version, params) req.send_request() end |
#list_data_ingestion_jobs(params = {}) ⇒ Types::ListDataIngestionJobsResponse
Provides a list of all data ingestion jobs, including dataset name and ARN, S3 location of the input data, status, and so on.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
2027 2028 2029 2030 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2027 def list_data_ingestion_jobs(params = {}, = {}) req = build_request(:list_data_ingestion_jobs, params) req.send_request() end |
#list_datasets(params = {}) ⇒ Types::ListDatasetsResponse
Lists all datasets currently available in your account, filtering on the dataset name.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
2073 2074 2075 2076 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2073 def list_datasets(params = {}, = {}) req = build_request(:list_datasets, params) req.send_request() end |
#list_inference_events(params = {}) ⇒ Types::ListInferenceEventsResponse
Lists all inference events that have been found for the specified inference scheduler.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
2131 2132 2133 2134 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2131 def list_inference_events(params = {}, = {}) req = build_request(:list_inference_events, params) req.send_request() end |
#list_inference_executions(params = {}) ⇒ Types::ListInferenceExecutionsResponse
Lists all inference executions that have been performed by the specified inference scheduler.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
2209 2210 2211 2212 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2209 def list_inference_executions(params = {}, = {}) req = build_request(:list_inference_executions, params) req.send_request() end |
#list_inference_schedulers(params = {}) ⇒ Types::ListInferenceSchedulersResponse
Retrieves a list of all inference schedulers currently available for your account.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
2268 2269 2270 2271 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2268 def list_inference_schedulers(params = {}, = {}) req = build_request(:list_inference_schedulers, params) req.send_request() end |
#list_label_groups(params = {}) ⇒ Types::ListLabelGroupsResponse
Returns a list of the label groups.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
2313 2314 2315 2316 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2313 def list_label_groups(params = {}, = {}) req = build_request(:list_label_groups, params) req.send_request() end |
#list_labels(params = {}) ⇒ Types::ListLabelsResponse
Provides a list of labels.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
2380 2381 2382 2383 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2380 def list_labels(params = {}, = {}) req = build_request(:list_labels, params) req.send_request() end |
#list_model_versions(params = {}) ⇒ Types::ListModelVersionsResponse
Generates a list of all model versions for a given model, including
the model version, model version ARN, and status. To list a subset of
versions, use the MaxModelVersion
and MinModelVersion
fields.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
2462 2463 2464 2465 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2462 def list_model_versions(params = {}, = {}) req = build_request(:list_model_versions, params) req.send_request() end |
#list_models(params = {}) ⇒ Types::ListModelsResponse
Generates a list of all models in the account, including model name and ARN, dataset, and status.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
2530 2531 2532 2533 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2530 def list_models(params = {}, = {}) req = build_request(:list_models, params) req.send_request() end |
#list_retraining_schedulers(params = {}) ⇒ Types::ListRetrainingSchedulersResponse
Lists all retraining schedulers in your account, filtering by model name prefix and status.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
2622 2623 2624 2625 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2622 def list_retraining_schedulers(params = {}, = {}) req = build_request(:list_retraining_schedulers, params) req.send_request() end |
#list_sensor_statistics(params = {}) ⇒ Types::ListSensorStatisticsResponse
Lists statistics about the data collected for each of the sensors that have been successfully ingested in the particular dataset. Can also be used to retreive Sensor Statistics for a previous ingestion job.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
2693 2694 2695 2696 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2693 def list_sensor_statistics(params = {}, = {}) req = build_request(:list_sensor_statistics, params) req.send_request() end |
#list_tags_for_resource(params = {}) ⇒ Types::ListTagsForResourceResponse
Lists all the tags for a specified resource, including key and value.
2724 2725 2726 2727 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2724 def (params = {}, = {}) req = build_request(:list_tags_for_resource, params) req.send_request() end |
#put_resource_policy(params = {}) ⇒ Types::PutResourcePolicyResponse
Creates a resource control policy for a given resource.
2771 2772 2773 2774 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2771 def put_resource_policy(params = {}, = {}) req = build_request(:put_resource_policy, params) req.send_request() end |
#start_data_ingestion_job(params = {}) ⇒ Types::StartDataIngestionJobResponse
Starts a data ingestion job. Amazon Lookout for Equipment returns the job status.
2826 2827 2828 2829 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2826 def start_data_ingestion_job(params = {}, = {}) req = build_request(:start_data_ingestion_job, params) req.send_request() end |
#start_inference_scheduler(params = {}) ⇒ Types::StartInferenceSchedulerResponse
Starts an inference scheduler.
2862 2863 2864 2865 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2862 def start_inference_scheduler(params = {}, = {}) req = build_request(:start_inference_scheduler, params) req.send_request() end |
#start_retraining_scheduler(params = {}) ⇒ Types::StartRetrainingSchedulerResponse
Starts a retraining scheduler.
2908 2909 2910 2911 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2908 def start_retraining_scheduler(params = {}, = {}) req = build_request(:start_retraining_scheduler, params) req.send_request() end |
#stop_inference_scheduler(params = {}) ⇒ Types::StopInferenceSchedulerResponse
Stops an inference scheduler.
2944 2945 2946 2947 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2944 def stop_inference_scheduler(params = {}, = {}) req = build_request(:stop_inference_scheduler, params) req.send_request() end |
#stop_retraining_scheduler(params = {}) ⇒ Types::StopRetrainingSchedulerResponse
Stops a retraining scheduler.
2990 2991 2992 2993 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2990 def stop_retraining_scheduler(params = {}, = {}) req = build_request(:stop_retraining_scheduler, params) req.send_request() end |
#tag_resource(params = {}) ⇒ Struct
Associates a given tag to a resource in your account. A tag is a key-value pair which can be added to an Amazon Lookout for Equipment resource as metadata. Tags can be used for organizing your resources as well as helping you to search and filter by tag. Multiple tags can be added to a resource, either when you create it, or later. Up to 50 tags can be associated with each resource.
3028 3029 3030 3031 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 3028 def tag_resource(params = {}, = {}) req = build_request(:tag_resource, params) req.send_request() end |
#untag_resource(params = {}) ⇒ Struct
Removes a specific tag from a given resource. The tag is specified by its key.
3056 3057 3058 3059 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 3056 def untag_resource(params = {}, = {}) req = build_request(:untag_resource, params) req.send_request() end |
#update_active_model_version(params = {}) ⇒ Types::UpdateActiveModelVersionResponse
Sets the active model version for a given machine learning model.
3100 3101 3102 3103 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 3100 def update_active_model_version(params = {}, = {}) req = build_request(:update_active_model_version, params) req.send_request() end |
#update_inference_scheduler(params = {}) ⇒ Struct
Updates an inference scheduler.
3175 3176 3177 3178 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 3175 def update_inference_scheduler(params = {}, = {}) req = build_request(:update_inference_scheduler, params) req.send_request() end |
#update_label_group(params = {}) ⇒ Struct
Updates the label group.
3205 3206 3207 3208 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 3205 def update_label_group(params = {}, = {}) req = build_request(:update_label_group, params) req.send_request() end |
#update_model(params = {}) ⇒ Struct
Updates a model in the account.
3264 3265 3266 3267 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 3264 def update_model(params = {}, = {}) req = build_request(:update_model, params) req.send_request() end |
#update_retraining_scheduler(params = {}) ⇒ Struct
Updates a retraining scheduler.
3333 3334 3335 3336 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 3333 def update_retraining_scheduler(params = {}, = {}) req = build_request(:update_retraining_scheduler, params) req.send_request() end |