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.
429 430 431 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 429 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.
495 496 497 498 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 495 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.
627 628 629 630 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 627 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.
700 701 702 703 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 700 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.
761 762 763 764 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 761 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.
904 905 906 907 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 904 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.
1017 1018 1019 1020 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1017 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.
1044 1045 1046 1047 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1044 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.
1067 1068 1069 1070 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1067 def delete_inference_scheduler(params = {}, = {}) req = build_request(:delete_inference_scheduler, params) req.send_request() end |
#delete_label(params = {}) ⇒ Struct
Deletes a label.
1095 1096 1097 1098 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1095 def delete_label(params = {}, = {}) req = build_request(:delete_label, params) req.send_request() end |
#delete_label_group(params = {}) ⇒ Struct
Deletes a group of labels.
1119 1120 1121 1122 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1119 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.
1143 1144 1145 1146 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1143 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.
1166 1167 1168 1169 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1166 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.
1196 1197 1198 1199 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1196 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.
1264 1265 1266 1267 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1264 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.
1332 1333 1334 1335 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1332 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
1393 1394 1395 1396 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1393 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.
1443 1444 1445 1446 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1443 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.
1480 1481 1482 1483 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1480 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.
1596 1597 1598 1599 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1596 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.
1701 1702 1703 1704 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1701 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.
1736 1737 1738 1739 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1736 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.
1801 1802 1803 1804 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1801 def describe_retraining_scheduler(params = {}, = {}) req = build_request(:describe_retraining_scheduler, params) req.send_request() end |
#import_dataset(params = {}) ⇒ Types::ImportDatasetResponse
Imports a dataset.
1864 1865 1866 1867 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1864 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.
1962 1963 1964 1965 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1962 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.
2015 2016 2017 2018 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2015 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.
2061 2062 2063 2064 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2061 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.
2119 2120 2121 2122 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2119 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.
2197 2198 2199 2200 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2197 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.
2256 2257 2258 2259 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2256 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.
2301 2302 2303 2304 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2301 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.
2368 2369 2370 2371 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2368 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.
2450 2451 2452 2453 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2450 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.
2518 2519 2520 2521 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2518 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.
2610 2611 2612 2613 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2610 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.
2681 2682 2683 2684 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2681 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.
2712 2713 2714 2715 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2712 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.
2759 2760 2761 2762 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2759 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.
2814 2815 2816 2817 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2814 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.
2850 2851 2852 2853 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2850 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.
2896 2897 2898 2899 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2896 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.
2932 2933 2934 2935 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2932 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.
2978 2979 2980 2981 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 2978 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.
3016 3017 3018 3019 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 3016 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.
3044 3045 3046 3047 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 3044 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.
3088 3089 3090 3091 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 3088 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.
3163 3164 3165 3166 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 3163 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.
3193 3194 3195 3196 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 3193 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.
3252 3253 3254 3255 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 3252 def update_model(params = {}, = {}) req = build_request(:update_model, params) req.send_request() end |
#update_retraining_scheduler(params = {}) ⇒ Struct
Updates a retraining scheduler.
3321 3322 3323 3324 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 3321 def update_retraining_scheduler(params = {}, = {}) req = build_request(:update_retraining_scheduler, params) req.send_request() end |