PersonalizeClient

Index > Personalize > PersonalizeClient

Auto-generated documentation for Personalize type annotations stubs module mypy-boto3-personalize.

PersonalizeClient

Type annotations and code completion for boto3.client("personalize"). boto3 documentation

# PersonalizeClient usage example

from boto3.session import Session
from mypy_boto3_personalize.client import PersonalizeClient

def get_personalize_client() -> PersonalizeClient:
    return Session().client("personalize")

Exceptions

boto3 client exceptions are generated in runtime. This class provides code completion for boto3.client("personalize").exceptions structure.

# Exceptions.exceptions usage example

client = boto3.client("personalize")

try:
    do_something(client)
except (
    client.exceptions.ClientError,
    client.exceptions.InvalidInputException,
    client.exceptions.InvalidNextTokenException,
    client.exceptions.LimitExceededException,
    client.exceptions.ResourceAlreadyExistsException,
    client.exceptions.ResourceInUseException,
    client.exceptions.ResourceNotFoundException,
    client.exceptions.TooManyTagKeysException,
    client.exceptions.TooManyTagsException,
) as e:
    print(e)

# Exceptions.exceptions type checking example

from mypy_boto3_personalize.client import Exceptions

def handle_error(exc: Exceptions.ClientError) -> None:
    ...

Methods

can_paginate

Type annotations and code completion for boto3.client("personalize").can_paginate method. boto3 documentation

# can_paginate method definition

def can_paginate(
    self,
    operation_name: str,
) -> bool:
    ...

generate_presigned_url

Type annotations and code completion for boto3.client("personalize").generate_presigned_url method. boto3 documentation

# generate_presigned_url method definition

def generate_presigned_url(
    self,
    ClientMethod: str,
    Params: Mapping[str, Any] = ...,
    ExpiresIn: int = 3600,
    HttpMethod: str = ...,
) -> str:
    ...

create_batch_inference_job

Generates batch recommendations based on a list of items or users stored in Amazon S3 and exports the recommendations to an Amazon S3 bucket.

Type annotations and code completion for boto3.client("personalize").create_batch_inference_job method. boto3 documentation

# create_batch_inference_job method definition

def create_batch_inference_job(
    self,
    *,
    jobName: str,
    solutionVersionArn: str,
    jobInput: BatchInferenceJobInputTypeDef,  # (1)
    jobOutput: BatchInferenceJobOutputTypeDef,  # (2)
    roleArn: str,
    filterArn: str = ...,
    numResults: int = ...,
    batchInferenceJobConfig: BatchInferenceJobConfigTypeDef = ...,  # (3)
    tags: Sequence[TagTypeDef] = ...,  # (4)
    batchInferenceJobMode: BatchInferenceJobModeType = ...,  # (5)
    themeGenerationConfig: ThemeGenerationConfigTypeDef = ...,  # (6)
) -> CreateBatchInferenceJobResponseTypeDef:  # (7)
    ...

1. See BatchInferenceJobInputTypeDef
2. See BatchInferenceJobOutputTypeDef
3. See BatchInferenceJobConfigTypeDef
4. See TagTypeDef
5. See BatchInferenceJobModeType
6. See ThemeGenerationConfigTypeDef
7. See CreateBatchInferenceJobResponseTypeDef

# create_batch_inference_job method usage example with argument unpacking

kwargs: CreateBatchInferenceJobRequestRequestTypeDef = {  # (1)
    "jobName": ...,
    "solutionVersionArn": ...,
    "jobInput": ...,
    "jobOutput": ...,
    "roleArn": ...,
}

parent.create_batch_inference_job(**kwargs)

1. See CreateBatchInferenceJobRequestRequestTypeDef

create_batch_segment_job

Creates a batch segment job.

Type annotations and code completion for boto3.client("personalize").create_batch_segment_job method. boto3 documentation

# create_batch_segment_job method definition

def create_batch_segment_job(
    self,
    *,
    jobName: str,
    solutionVersionArn: str,
    jobInput: BatchSegmentJobInputTypeDef,  # (1)
    jobOutput: BatchSegmentJobOutputTypeDef,  # (2)
    roleArn: str,
    filterArn: str = ...,
    numResults: int = ...,
    tags: Sequence[TagTypeDef] = ...,  # (3)
) -> CreateBatchSegmentJobResponseTypeDef:  # (4)
    ...

1. See BatchSegmentJobInputTypeDef
2. See BatchSegmentJobOutputTypeDef
3. See TagTypeDef
4. See CreateBatchSegmentJobResponseTypeDef

# create_batch_segment_job method usage example with argument unpacking

kwargs: CreateBatchSegmentJobRequestRequestTypeDef = {  # (1)
    "jobName": ...,
    "solutionVersionArn": ...,
    "jobInput": ...,
    "jobOutput": ...,
    "roleArn": ...,
}

parent.create_batch_segment_job(**kwargs)

1. See CreateBatchSegmentJobRequestRequestTypeDef

create_campaign

You incur campaign costs while it is active.

Type annotations and code completion for boto3.client("personalize").create_campaign method. boto3 documentation

# create_campaign method definition

def create_campaign(
    self,
    *,
    name: str,
    solutionVersionArn: str,
    minProvisionedTPS: int = ...,
    campaignConfig: CampaignConfigTypeDef = ...,  # (1)
    tags: Sequence[TagTypeDef] = ...,  # (2)
) -> CreateCampaignResponseTypeDef:  # (3)
    ...

1. See CampaignConfigTypeDef
2. See TagTypeDef
3. See CreateCampaignResponseTypeDef

# create_campaign method usage example with argument unpacking

kwargs: CreateCampaignRequestRequestTypeDef = {  # (1)
    "name": ...,
    "solutionVersionArn": ...,
}

parent.create_campaign(**kwargs)

1. See CreateCampaignRequestRequestTypeDef

create_data_deletion_job

Creates a batch job that deletes all references to specific users from an Amazon Personalize dataset group in batches.

Type annotations and code completion for boto3.client("personalize").create_data_deletion_job method. boto3 documentation

# create_data_deletion_job method definition

def create_data_deletion_job(
    self,
    *,
    jobName: str,
    datasetGroupArn: str,
    dataSource: DataSourceTypeDef,  # (1)
    roleArn: str,
    tags: Sequence[TagTypeDef] = ...,  # (2)
) -> CreateDataDeletionJobResponseTypeDef:  # (3)
    ...

1. See DataSourceTypeDef
2. See TagTypeDef
3. See CreateDataDeletionJobResponseTypeDef

# create_data_deletion_job method usage example with argument unpacking

kwargs: CreateDataDeletionJobRequestRequestTypeDef = {  # (1)
    "jobName": ...,
    "datasetGroupArn": ...,
    "dataSource": ...,
    "roleArn": ...,
}

parent.create_data_deletion_job(**kwargs)

1. See CreateDataDeletionJobRequestRequestTypeDef

create_dataset

Creates an empty dataset and adds it to the specified dataset group.

Type annotations and code completion for boto3.client("personalize").create_dataset method. boto3 documentation

# create_dataset method definition

def create_dataset(
    self,
    *,
    name: str,
    schemaArn: str,
    datasetGroupArn: str,
    datasetType: str,
    tags: Sequence[TagTypeDef] = ...,  # (1)
) -> CreateDatasetResponseTypeDef:  # (2)
    ...

1. See TagTypeDef
2. See CreateDatasetResponseTypeDef

# create_dataset method usage example with argument unpacking

kwargs: CreateDatasetRequestRequestTypeDef = {  # (1)
    "name": ...,
    "schemaArn": ...,
    "datasetGroupArn": ...,
    "datasetType": ...,
}

parent.create_dataset(**kwargs)

1. See CreateDatasetRequestRequestTypeDef

create_dataset_export_job

Creates a job that exports data from your dataset to an Amazon S3 bucket.

Type annotations and code completion for boto3.client("personalize").create_dataset_export_job method. boto3 documentation

# create_dataset_export_job method definition

def create_dataset_export_job(
    self,
    *,
    jobName: str,
    datasetArn: str,
    roleArn: str,
    jobOutput: DatasetExportJobOutputTypeDef,  # (1)
    ingestionMode: IngestionModeType = ...,  # (2)
    tags: Sequence[TagTypeDef] = ...,  # (3)
) -> CreateDatasetExportJobResponseTypeDef:  # (4)
    ...

1. See DatasetExportJobOutputTypeDef
2. See IngestionModeType
3. See TagTypeDef
4. See CreateDatasetExportJobResponseTypeDef

# create_dataset_export_job method usage example with argument unpacking

kwargs: CreateDatasetExportJobRequestRequestTypeDef = {  # (1)
    "jobName": ...,
    "datasetArn": ...,
    "roleArn": ...,
    "jobOutput": ...,
}

parent.create_dataset_export_job(**kwargs)

1. See CreateDatasetExportJobRequestRequestTypeDef

create_dataset_group

Creates an empty dataset group.

Type annotations and code completion for boto3.client("personalize").create_dataset_group method. boto3 documentation

# create_dataset_group method definition

def create_dataset_group(
    self,
    *,
    name: str,
    roleArn: str = ...,
    kmsKeyArn: str = ...,
    domain: DomainType = ...,  # (1)
    tags: Sequence[TagTypeDef] = ...,  # (2)
) -> CreateDatasetGroupResponseTypeDef:  # (3)
    ...

1. See DomainType
2. See TagTypeDef
3. See CreateDatasetGroupResponseTypeDef

# create_dataset_group method usage example with argument unpacking

kwargs: CreateDatasetGroupRequestRequestTypeDef = {  # (1)
    "name": ...,
}

parent.create_dataset_group(**kwargs)

1. See CreateDatasetGroupRequestRequestTypeDef

create_dataset_import_job

Creates a job that imports training data from your data source (an Amazon S3 bucket) to an Amazon Personalize dataset.

Type annotations and code completion for boto3.client("personalize").create_dataset_import_job method. boto3 documentation

# create_dataset_import_job method definition

def create_dataset_import_job(
    self,
    *,
    jobName: str,
    datasetArn: str,
    dataSource: DataSourceTypeDef,  # (1)
    roleArn: str,
    tags: Sequence[TagTypeDef] = ...,  # (2)
    importMode: ImportModeType = ...,  # (3)
    publishAttributionMetricsToS3: bool = ...,
) -> CreateDatasetImportJobResponseTypeDef:  # (4)
    ...

1. See DataSourceTypeDef
2. See TagTypeDef
3. See ImportModeType
4. See CreateDatasetImportJobResponseTypeDef

# create_dataset_import_job method usage example with argument unpacking

kwargs: CreateDatasetImportJobRequestRequestTypeDef = {  # (1)
    "jobName": ...,
    "datasetArn": ...,
    "dataSource": ...,
    "roleArn": ...,
}

parent.create_dataset_import_job(**kwargs)

1. See CreateDatasetImportJobRequestRequestTypeDef

create_event_tracker

Creates an event tracker that you use when adding event data to a specified dataset group using the PutEvents API.

Type annotations and code completion for boto3.client("personalize").create_event_tracker method. boto3 documentation

# create_event_tracker method definition

def create_event_tracker(
    self,
    *,
    name: str,
    datasetGroupArn: str,
    tags: Sequence[TagTypeDef] = ...,  # (1)
) -> CreateEventTrackerResponseTypeDef:  # (2)
    ...

1. See TagTypeDef
2. See CreateEventTrackerResponseTypeDef

# create_event_tracker method usage example with argument unpacking

kwargs: CreateEventTrackerRequestRequestTypeDef = {  # (1)
    "name": ...,
    "datasetGroupArn": ...,
}

parent.create_event_tracker(**kwargs)

1. See CreateEventTrackerRequestRequestTypeDef

create_filter

Creates a recommendation filter.

Type annotations and code completion for boto3.client("personalize").create_filter method. boto3 documentation

# create_filter method definition

def create_filter(
    self,
    *,
    name: str,
    datasetGroupArn: str,
    filterExpression: str,
    tags: Sequence[TagTypeDef] = ...,  # (1)
) -> CreateFilterResponseTypeDef:  # (2)
    ...

1. See TagTypeDef
2. See CreateFilterResponseTypeDef

# create_filter method usage example with argument unpacking

kwargs: CreateFilterRequestRequestTypeDef = {  # (1)
    "name": ...,
    "datasetGroupArn": ...,
    "filterExpression": ...,
}

parent.create_filter(**kwargs)

1. See CreateFilterRequestRequestTypeDef

create_metric_attribution

Creates a metric attribution.

Type annotations and code completion for boto3.client("personalize").create_metric_attribution method. boto3 documentation

# create_metric_attribution method definition

def create_metric_attribution(
    self,
    *,
    name: str,
    datasetGroupArn: str,
    metrics: Sequence[MetricAttributeTypeDef],  # (1)
    metricsOutputConfig: MetricAttributionOutputTypeDef,  # (2)
) -> CreateMetricAttributionResponseTypeDef:  # (3)
    ...

1. See MetricAttributeTypeDef
2. See MetricAttributionOutputTypeDef
3. See CreateMetricAttributionResponseTypeDef

# create_metric_attribution method usage example with argument unpacking

kwargs: CreateMetricAttributionRequestRequestTypeDef = {  # (1)
    "name": ...,
    "datasetGroupArn": ...,
    "metrics": ...,
    "metricsOutputConfig": ...,
}

parent.create_metric_attribution(**kwargs)

1. See CreateMetricAttributionRequestRequestTypeDef

create_recommender

Creates a recommender with the recipe (a Domain dataset group use case) you specify.

Type annotations and code completion for boto3.client("personalize").create_recommender method. boto3 documentation

# create_recommender method definition

def create_recommender(
    self,
    *,
    name: str,
    datasetGroupArn: str,
    recipeArn: str,
    recommenderConfig: RecommenderConfigTypeDef = ...,  # (1)
    tags: Sequence[TagTypeDef] = ...,  # (2)
) -> CreateRecommenderResponseTypeDef:  # (3)
    ...

1. See RecommenderConfigTypeDef
2. See TagTypeDef
3. See CreateRecommenderResponseTypeDef

# create_recommender method usage example with argument unpacking

kwargs: CreateRecommenderRequestRequestTypeDef = {  # (1)
    "name": ...,
    "datasetGroupArn": ...,
    "recipeArn": ...,
}

parent.create_recommender(**kwargs)

1. See CreateRecommenderRequestRequestTypeDef

create_schema

Creates an Amazon Personalize schema from the specified schema string.

Type annotations and code completion for boto3.client("personalize").create_schema method. boto3 documentation

# create_schema method definition

def create_schema(
    self,
    *,
    name: str,
    schema: str,
    domain: DomainType = ...,  # (1)
) -> CreateSchemaResponseTypeDef:  # (2)
    ...

1. See DomainType
2. See CreateSchemaResponseTypeDef

# create_schema method usage example with argument unpacking

kwargs: CreateSchemaRequestRequestTypeDef = {  # (1)
    "name": ...,
    "schema": ...,
}

parent.create_schema(**kwargs)

1. See CreateSchemaRequestRequestTypeDef

create_solution

By default, all new solutions use automatic training.

Type annotations and code completion for boto3.client("personalize").create_solution method. boto3 documentation

# create_solution method definition

def create_solution(
    self,
    *,
    name: str,
    datasetGroupArn: str,
    performHPO: bool = ...,
    performAutoML: bool = ...,
    performAutoTraining: bool = ...,
    recipeArn: str = ...,
    eventType: str = ...,
    solutionConfig: SolutionConfigTypeDef = ...,  # (1)
    tags: Sequence[TagTypeDef] = ...,  # (2)
) -> CreateSolutionResponseTypeDef:  # (3)
    ...

1. See SolutionConfigTypeDef
2. See TagTypeDef
3. See CreateSolutionResponseTypeDef

# create_solution method usage example with argument unpacking

kwargs: CreateSolutionRequestRequestTypeDef = {  # (1)
    "name": ...,
    "datasetGroupArn": ...,
}

parent.create_solution(**kwargs)

1. See CreateSolutionRequestRequestTypeDef

create_solution_version

Trains or retrains an active solution in a Custom dataset group.

Type annotations and code completion for boto3.client("personalize").create_solution_version method. boto3 documentation

# create_solution_version method definition

def create_solution_version(
    self,
    *,
    solutionArn: str,
    name: str = ...,
    trainingMode: TrainingModeType = ...,  # (1)
    tags: Sequence[TagTypeDef] = ...,  # (2)
) -> CreateSolutionVersionResponseTypeDef:  # (3)
    ...

1. See TrainingModeType
2. See TagTypeDef
3. See CreateSolutionVersionResponseTypeDef

# create_solution_version method usage example with argument unpacking

kwargs: CreateSolutionVersionRequestRequestTypeDef = {  # (1)
    "solutionArn": ...,
}

parent.create_solution_version(**kwargs)

1. See CreateSolutionVersionRequestRequestTypeDef

delete_campaign

Removes a campaign by deleting the solution deployment.

Type annotations and code completion for boto3.client("personalize").delete_campaign method. boto3 documentation

# delete_campaign method definition

def delete_campaign(
    self,
    *,
    campaignArn: str,
) -> EmptyResponseMetadataTypeDef:  # (1)
    ...

1. See EmptyResponseMetadataTypeDef

# delete_campaign method usage example with argument unpacking

kwargs: DeleteCampaignRequestRequestTypeDef = {  # (1)
    "campaignArn": ...,
}

parent.delete_campaign(**kwargs)

1. See DeleteCampaignRequestRequestTypeDef

delete_dataset

Deletes a dataset.

Type annotations and code completion for boto3.client("personalize").delete_dataset method. boto3 documentation

# delete_dataset method definition

def delete_dataset(
    self,
    *,
    datasetArn: str,
) -> EmptyResponseMetadataTypeDef:  # (1)
    ...

1. See EmptyResponseMetadataTypeDef

# delete_dataset method usage example with argument unpacking

kwargs: DeleteDatasetRequestRequestTypeDef = {  # (1)
    "datasetArn": ...,
}

parent.delete_dataset(**kwargs)

1. See DeleteDatasetRequestRequestTypeDef

delete_dataset_group

Deletes a dataset group.

Type annotations and code completion for boto3.client("personalize").delete_dataset_group method. boto3 documentation

# delete_dataset_group method definition

def delete_dataset_group(
    self,
    *,
    datasetGroupArn: str,
) -> EmptyResponseMetadataTypeDef:  # (1)
    ...

1. See EmptyResponseMetadataTypeDef

# delete_dataset_group method usage example with argument unpacking

kwargs: DeleteDatasetGroupRequestRequestTypeDef = {  # (1)
    "datasetGroupArn": ...,
}

parent.delete_dataset_group(**kwargs)

1. See DeleteDatasetGroupRequestRequestTypeDef

delete_event_tracker

Deletes the event tracker.

Type annotations and code completion for boto3.client("personalize").delete_event_tracker method. boto3 documentation

# delete_event_tracker method definition

def delete_event_tracker(
    self,
    *,
    eventTrackerArn: str,
) -> EmptyResponseMetadataTypeDef:  # (1)
    ...

1. See EmptyResponseMetadataTypeDef

# delete_event_tracker method usage example with argument unpacking

kwargs: DeleteEventTrackerRequestRequestTypeDef = {  # (1)
    "eventTrackerArn": ...,
}

parent.delete_event_tracker(**kwargs)

1. See DeleteEventTrackerRequestRequestTypeDef

delete_filter

Deletes a filter.

Type annotations and code completion for boto3.client("personalize").delete_filter method. boto3 documentation

# delete_filter method definition

def delete_filter(
    self,
    *,
    filterArn: str,
) -> EmptyResponseMetadataTypeDef:  # (1)
    ...

1. See EmptyResponseMetadataTypeDef

# delete_filter method usage example with argument unpacking

kwargs: DeleteFilterRequestRequestTypeDef = {  # (1)
    "filterArn": ...,
}

parent.delete_filter(**kwargs)

1. See DeleteFilterRequestRequestTypeDef

delete_metric_attribution

Deletes a metric attribution.

Type annotations and code completion for boto3.client("personalize").delete_metric_attribution method. boto3 documentation

# delete_metric_attribution method definition

def delete_metric_attribution(
    self,
    *,
    metricAttributionArn: str,
) -> EmptyResponseMetadataTypeDef:  # (1)
    ...

1. See EmptyResponseMetadataTypeDef

# delete_metric_attribution method usage example with argument unpacking

kwargs: DeleteMetricAttributionRequestRequestTypeDef = {  # (1)
    "metricAttributionArn": ...,
}

parent.delete_metric_attribution(**kwargs)

1. See DeleteMetricAttributionRequestRequestTypeDef

delete_recommender

Deactivates and removes a recommender.

Type annotations and code completion for boto3.client("personalize").delete_recommender method. boto3 documentation

# delete_recommender method definition

def delete_recommender(
    self,
    *,
    recommenderArn: str,
) -> EmptyResponseMetadataTypeDef:  # (1)
    ...

1. See EmptyResponseMetadataTypeDef

# delete_recommender method usage example with argument unpacking

kwargs: DeleteRecommenderRequestRequestTypeDef = {  # (1)
    "recommenderArn": ...,
}

parent.delete_recommender(**kwargs)

1. See DeleteRecommenderRequestRequestTypeDef

delete_schema

Deletes a schema.

Type annotations and code completion for boto3.client("personalize").delete_schema method. boto3 documentation

# delete_schema method definition

def delete_schema(
    self,
    *,
    schemaArn: str,
) -> EmptyResponseMetadataTypeDef:  # (1)
    ...

1. See EmptyResponseMetadataTypeDef

# delete_schema method usage example with argument unpacking

kwargs: DeleteSchemaRequestRequestTypeDef = {  # (1)
    "schemaArn": ...,
}

parent.delete_schema(**kwargs)

1. See DeleteSchemaRequestRequestTypeDef

delete_solution

Deletes all versions of a solution and the Solution object itself.

Type annotations and code completion for boto3.client("personalize").delete_solution method. boto3 documentation

# delete_solution method definition

def delete_solution(
    self,
    *,
    solutionArn: str,
) -> EmptyResponseMetadataTypeDef:  # (1)
    ...

1. See EmptyResponseMetadataTypeDef

# delete_solution method usage example with argument unpacking

kwargs: DeleteSolutionRequestRequestTypeDef = {  # (1)
    "solutionArn": ...,
}

parent.delete_solution(**kwargs)

1. See DeleteSolutionRequestRequestTypeDef

describe_algorithm

Describes the given algorithm.

Type annotations and code completion for boto3.client("personalize").describe_algorithm method. boto3 documentation

# describe_algorithm method definition

def describe_algorithm(
    self,
    *,
    algorithmArn: str,
) -> DescribeAlgorithmResponseTypeDef:  # (1)
    ...

1. See DescribeAlgorithmResponseTypeDef

# describe_algorithm method usage example with argument unpacking

kwargs: DescribeAlgorithmRequestRequestTypeDef = {  # (1)
    "algorithmArn": ...,
}

parent.describe_algorithm(**kwargs)

1. See DescribeAlgorithmRequestRequestTypeDef

describe_batch_inference_job

Gets the properties of a batch inference job including name, Amazon Resource Name (ARN), status, input and output configurations, and the ARN of the solution version used to generate the recommendations.

Type annotations and code completion for boto3.client("personalize").describe_batch_inference_job method. boto3 documentation

# describe_batch_inference_job method definition

def describe_batch_inference_job(
    self,
    *,
    batchInferenceJobArn: str,
) -> DescribeBatchInferenceJobResponseTypeDef:  # (1)
    ...

1. See DescribeBatchInferenceJobResponseTypeDef

# describe_batch_inference_job method usage example with argument unpacking

kwargs: DescribeBatchInferenceJobRequestRequestTypeDef = {  # (1)
    "batchInferenceJobArn": ...,
}

parent.describe_batch_inference_job(**kwargs)

1. See DescribeBatchInferenceJobRequestRequestTypeDef

describe_batch_segment_job

Gets the properties of a batch segment job including name, Amazon Resource Name (ARN), status, input and output configurations, and the ARN of the solution version used to generate segments.

Type annotations and code completion for boto3.client("personalize").describe_batch_segment_job method. boto3 documentation

# describe_batch_segment_job method definition

def describe_batch_segment_job(
    self,
    *,
    batchSegmentJobArn: str,
) -> DescribeBatchSegmentJobResponseTypeDef:  # (1)
    ...

1. See DescribeBatchSegmentJobResponseTypeDef

# describe_batch_segment_job method usage example with argument unpacking

kwargs: DescribeBatchSegmentJobRequestRequestTypeDef = {  # (1)
    "batchSegmentJobArn": ...,
}

parent.describe_batch_segment_job(**kwargs)

1. See DescribeBatchSegmentJobRequestRequestTypeDef

describe_campaign

Describes the given campaign, including its status.

Type annotations and code completion for boto3.client("personalize").describe_campaign method. boto3 documentation

# describe_campaign method definition

def describe_campaign(
    self,
    *,
    campaignArn: str,
) -> DescribeCampaignResponseTypeDef:  # (1)
    ...

1. See DescribeCampaignResponseTypeDef

# describe_campaign method usage example with argument unpacking

kwargs: DescribeCampaignRequestRequestTypeDef = {  # (1)
    "campaignArn": ...,
}

parent.describe_campaign(**kwargs)

1. See DescribeCampaignRequestRequestTypeDef

describe_data_deletion_job

Describes the data deletion job created by CreateDataDeletionJob, including the job status.

Type annotations and code completion for boto3.client("personalize").describe_data_deletion_job method. boto3 documentation

# describe_data_deletion_job method definition

def describe_data_deletion_job(
    self,
    *,
    dataDeletionJobArn: str,
) -> DescribeDataDeletionJobResponseTypeDef:  # (1)
    ...

1. See DescribeDataDeletionJobResponseTypeDef

# describe_data_deletion_job method usage example with argument unpacking

kwargs: DescribeDataDeletionJobRequestRequestTypeDef = {  # (1)
    "dataDeletionJobArn": ...,
}

parent.describe_data_deletion_job(**kwargs)

1. See DescribeDataDeletionJobRequestRequestTypeDef

describe_dataset

Describes the given dataset.

Type annotations and code completion for boto3.client("personalize").describe_dataset method. boto3 documentation

# describe_dataset method definition

def describe_dataset(
    self,
    *,
    datasetArn: str,
) -> DescribeDatasetResponseTypeDef:  # (1)
    ...

1. See DescribeDatasetResponseTypeDef

# describe_dataset method usage example with argument unpacking

kwargs: DescribeDatasetRequestRequestTypeDef = {  # (1)
    "datasetArn": ...,
}

parent.describe_dataset(**kwargs)

1. See DescribeDatasetRequestRequestTypeDef

describe_dataset_export_job

Describes the dataset export job created by CreateDatasetExportJob, including the export job status.

Type annotations and code completion for boto3.client("personalize").describe_dataset_export_job method. boto3 documentation

# describe_dataset_export_job method definition

def describe_dataset_export_job(
    self,
    *,
    datasetExportJobArn: str,
) -> DescribeDatasetExportJobResponseTypeDef:  # (1)
    ...

1. See DescribeDatasetExportJobResponseTypeDef

# describe_dataset_export_job method usage example with argument unpacking

kwargs: DescribeDatasetExportJobRequestRequestTypeDef = {  # (1)
    "datasetExportJobArn": ...,
}

parent.describe_dataset_export_job(**kwargs)

1. See DescribeDatasetExportJobRequestRequestTypeDef

describe_dataset_group

Describes the given dataset group.

Type annotations and code completion for boto3.client("personalize").describe_dataset_group method. boto3 documentation

# describe_dataset_group method definition

def describe_dataset_group(
    self,
    *,
    datasetGroupArn: str,
) -> DescribeDatasetGroupResponseTypeDef:  # (1)
    ...

1. See DescribeDatasetGroupResponseTypeDef

# describe_dataset_group method usage example with argument unpacking

kwargs: DescribeDatasetGroupRequestRequestTypeDef = {  # (1)
    "datasetGroupArn": ...,
}

parent.describe_dataset_group(**kwargs)

1. See DescribeDatasetGroupRequestRequestTypeDef

describe_dataset_import_job

Describes the dataset import job created by CreateDatasetImportJob, including the import job status.

Type annotations and code completion for boto3.client("personalize").describe_dataset_import_job method. boto3 documentation

# describe_dataset_import_job method definition

def describe_dataset_import_job(
    self,
    *,
    datasetImportJobArn: str,
) -> DescribeDatasetImportJobResponseTypeDef:  # (1)
    ...

1. See DescribeDatasetImportJobResponseTypeDef

# describe_dataset_import_job method usage example with argument unpacking

kwargs: DescribeDatasetImportJobRequestRequestTypeDef = {  # (1)
    "datasetImportJobArn": ...,
}

parent.describe_dataset_import_job(**kwargs)

1. See DescribeDatasetImportJobRequestRequestTypeDef

describe_event_tracker

Describes an event tracker.

Type annotations and code completion for boto3.client("personalize").describe_event_tracker method. boto3 documentation

# describe_event_tracker method definition

def describe_event_tracker(
    self,
    *,
    eventTrackerArn: str,
) -> DescribeEventTrackerResponseTypeDef:  # (1)
    ...

1. See DescribeEventTrackerResponseTypeDef

# describe_event_tracker method usage example with argument unpacking

kwargs: DescribeEventTrackerRequestRequestTypeDef = {  # (1)
    "eventTrackerArn": ...,
}

parent.describe_event_tracker(**kwargs)

1. See DescribeEventTrackerRequestRequestTypeDef

describe_feature_transformation

Describes the given feature transformation.

Type annotations and code completion for boto3.client("personalize").describe_feature_transformation method. boto3 documentation

# describe_feature_transformation method definition

def describe_feature_transformation(
    self,
    *,
    featureTransformationArn: str,
) -> DescribeFeatureTransformationResponseTypeDef:  # (1)
    ...

1. See DescribeFeatureTransformationResponseTypeDef

# describe_feature_transformation method usage example with argument unpacking

kwargs: DescribeFeatureTransformationRequestRequestTypeDef = {  # (1)
    "featureTransformationArn": ...,
}

parent.describe_feature_transformation(**kwargs)

1. See DescribeFeatureTransformationRequestRequestTypeDef

describe_filter

Describes a filter's properties.

Type annotations and code completion for boto3.client("personalize").describe_filter method. boto3 documentation

# describe_filter method definition

def describe_filter(
    self,
    *,
    filterArn: str,
) -> DescribeFilterResponseTypeDef:  # (1)
    ...

1. See DescribeFilterResponseTypeDef

# describe_filter method usage example with argument unpacking

kwargs: DescribeFilterRequestRequestTypeDef = {  # (1)
    "filterArn": ...,
}

parent.describe_filter(**kwargs)

1. See DescribeFilterRequestRequestTypeDef

describe_metric_attribution

Describes a metric attribution.

Type annotations and code completion for boto3.client("personalize").describe_metric_attribution method. boto3 documentation

# describe_metric_attribution method definition

def describe_metric_attribution(
    self,
    *,
    metricAttributionArn: str,
) -> DescribeMetricAttributionResponseTypeDef:  # (1)
    ...

1. See DescribeMetricAttributionResponseTypeDef

# describe_metric_attribution method usage example with argument unpacking

kwargs: DescribeMetricAttributionRequestRequestTypeDef = {  # (1)
    "metricAttributionArn": ...,
}

parent.describe_metric_attribution(**kwargs)

1. See DescribeMetricAttributionRequestRequestTypeDef

describe_recipe

Describes a recipe.

Type annotations and code completion for boto3.client("personalize").describe_recipe method. boto3 documentation

# describe_recipe method definition

def describe_recipe(
    self,
    *,
    recipeArn: str,
) -> DescribeRecipeResponseTypeDef:  # (1)
    ...

1. See DescribeRecipeResponseTypeDef

# describe_recipe method usage example with argument unpacking

kwargs: DescribeRecipeRequestRequestTypeDef = {  # (1)
    "recipeArn": ...,
}

parent.describe_recipe(**kwargs)

1. See DescribeRecipeRequestRequestTypeDef

describe_recommender

Describes the given recommender, including its status.

Type annotations and code completion for boto3.client("personalize").describe_recommender method. boto3 documentation

# describe_recommender method definition

def describe_recommender(
    self,
    *,
    recommenderArn: str,
) -> DescribeRecommenderResponseTypeDef:  # (1)
    ...

1. See DescribeRecommenderResponseTypeDef

# describe_recommender method usage example with argument unpacking

kwargs: DescribeRecommenderRequestRequestTypeDef = {  # (1)
    "recommenderArn": ...,
}

parent.describe_recommender(**kwargs)

1. See DescribeRecommenderRequestRequestTypeDef

describe_schema

Describes a schema.

Type annotations and code completion for boto3.client("personalize").describe_schema method. boto3 documentation

# describe_schema method definition

def describe_schema(
    self,
    *,
    schemaArn: str,
) -> DescribeSchemaResponseTypeDef:  # (1)
    ...

1. See DescribeSchemaResponseTypeDef

# describe_schema method usage example with argument unpacking

kwargs: DescribeSchemaRequestRequestTypeDef = {  # (1)
    "schemaArn": ...,
}

parent.describe_schema(**kwargs)

1. See DescribeSchemaRequestRequestTypeDef

describe_solution

Describes a solution.

Type annotations and code completion for boto3.client("personalize").describe_solution method. boto3 documentation

# describe_solution method definition

def describe_solution(
    self,
    *,
    solutionArn: str,
) -> DescribeSolutionResponseTypeDef:  # (1)
    ...

1. See DescribeSolutionResponseTypeDef

# describe_solution method usage example with argument unpacking

kwargs: DescribeSolutionRequestRequestTypeDef = {  # (1)
    "solutionArn": ...,
}

parent.describe_solution(**kwargs)

1. See DescribeSolutionRequestRequestTypeDef

describe_solution_version

Describes a specific version of a solution.

Type annotations and code completion for boto3.client("personalize").describe_solution_version method. boto3 documentation

# describe_solution_version method definition

def describe_solution_version(
    self,
    *,
    solutionVersionArn: str,
) -> DescribeSolutionVersionResponseTypeDef:  # (1)
    ...

1. See DescribeSolutionVersionResponseTypeDef

# describe_solution_version method usage example with argument unpacking

kwargs: DescribeSolutionVersionRequestRequestTypeDef = {  # (1)
    "solutionVersionArn": ...,
}

parent.describe_solution_version(**kwargs)

1. See DescribeSolutionVersionRequestRequestTypeDef

get_solution_metrics

Gets the metrics for the specified solution version.

Type annotations and code completion for boto3.client("personalize").get_solution_metrics method. boto3 documentation

# get_solution_metrics method definition

def get_solution_metrics(
    self,
    *,
    solutionVersionArn: str,
) -> GetSolutionMetricsResponseTypeDef:  # (1)
    ...

1. See GetSolutionMetricsResponseTypeDef

# get_solution_metrics method usage example with argument unpacking

kwargs: GetSolutionMetricsRequestRequestTypeDef = {  # (1)
    "solutionVersionArn": ...,
}

parent.get_solution_metrics(**kwargs)

1. See GetSolutionMetricsRequestRequestTypeDef

list_batch_inference_jobs

Gets a list of the batch inference jobs that have been performed off of a solution version.

Type annotations and code completion for boto3.client("personalize").list_batch_inference_jobs method. boto3 documentation

# list_batch_inference_jobs method definition

def list_batch_inference_jobs(
    self,
    *,
    solutionVersionArn: str = ...,
    nextToken: str = ...,
    maxResults: int = ...,
) -> ListBatchInferenceJobsResponseTypeDef:  # (1)
    ...

1. See ListBatchInferenceJobsResponseTypeDef

# list_batch_inference_jobs method usage example with argument unpacking

kwargs: ListBatchInferenceJobsRequestRequestTypeDef = {  # (1)
    "solutionVersionArn": ...,
}

parent.list_batch_inference_jobs(**kwargs)

1. See ListBatchInferenceJobsRequestRequestTypeDef

list_batch_segment_jobs

Gets a list of the batch segment jobs that have been performed off of a solution version that you specify.

Type annotations and code completion for boto3.client("personalize").list_batch_segment_jobs method. boto3 documentation

# list_batch_segment_jobs method definition

def list_batch_segment_jobs(
    self,
    *,
    solutionVersionArn: str = ...,
    nextToken: str = ...,
    maxResults: int = ...,
) -> ListBatchSegmentJobsResponseTypeDef:  # (1)
    ...

1. See ListBatchSegmentJobsResponseTypeDef

# list_batch_segment_jobs method usage example with argument unpacking

kwargs: ListBatchSegmentJobsRequestRequestTypeDef = {  # (1)
    "solutionVersionArn": ...,
}

parent.list_batch_segment_jobs(**kwargs)

1. See ListBatchSegmentJobsRequestRequestTypeDef

list_campaigns

Returns a list of campaigns that use the given solution.

Type annotations and code completion for boto3.client("personalize").list_campaigns method. boto3 documentation

# list_campaigns method definition

def list_campaigns(
    self,
    *,
    solutionArn: str = ...,
    nextToken: str = ...,
    maxResults: int = ...,
) -> ListCampaignsResponseTypeDef:  # (1)
    ...

1. See ListCampaignsResponseTypeDef

# list_campaigns method usage example with argument unpacking

kwargs: ListCampaignsRequestRequestTypeDef = {  # (1)
    "solutionArn": ...,
}

parent.list_campaigns(**kwargs)

1. See ListCampaignsRequestRequestTypeDef

list_data_deletion_jobs

Returns a list of data deletion jobs for a dataset group ordered by creation time, with the most recent first.

Type annotations and code completion for boto3.client("personalize").list_data_deletion_jobs method. boto3 documentation

# list_data_deletion_jobs method definition

def list_data_deletion_jobs(
    self,
    *,
    datasetGroupArn: str = ...,
    nextToken: str = ...,
    maxResults: int = ...,
) -> ListDataDeletionJobsResponseTypeDef:  # (1)
    ...

1. See ListDataDeletionJobsResponseTypeDef

# list_data_deletion_jobs method usage example with argument unpacking

kwargs: ListDataDeletionJobsRequestRequestTypeDef = {  # (1)
    "datasetGroupArn": ...,
}

parent.list_data_deletion_jobs(**kwargs)

1. See ListDataDeletionJobsRequestRequestTypeDef

list_dataset_export_jobs

Returns a list of dataset export jobs that use the given dataset.

Type annotations and code completion for boto3.client("personalize").list_dataset_export_jobs method. boto3 documentation

# list_dataset_export_jobs method definition

def list_dataset_export_jobs(
    self,
    *,
    datasetArn: str = ...,
    nextToken: str = ...,
    maxResults: int = ...,
) -> ListDatasetExportJobsResponseTypeDef:  # (1)
    ...

1. See ListDatasetExportJobsResponseTypeDef

# list_dataset_export_jobs method usage example with argument unpacking

kwargs: ListDatasetExportJobsRequestRequestTypeDef = {  # (1)
    "datasetArn": ...,
}

parent.list_dataset_export_jobs(**kwargs)

1. See ListDatasetExportJobsRequestRequestTypeDef

list_dataset_groups

Returns a list of dataset groups.

Type annotations and code completion for boto3.client("personalize").list_dataset_groups method. boto3 documentation

# list_dataset_groups method definition

def list_dataset_groups(
    self,
    *,
    nextToken: str = ...,
    maxResults: int = ...,
) -> ListDatasetGroupsResponseTypeDef:  # (1)
    ...

1. See ListDatasetGroupsResponseTypeDef

# list_dataset_groups method usage example with argument unpacking

kwargs: ListDatasetGroupsRequestRequestTypeDef = {  # (1)
    "nextToken": ...,
}

parent.list_dataset_groups(**kwargs)

1. See ListDatasetGroupsRequestRequestTypeDef

list_dataset_import_jobs

Returns a list of dataset import jobs that use the given dataset.

Type annotations and code completion for boto3.client("personalize").list_dataset_import_jobs method. boto3 documentation

# list_dataset_import_jobs method definition

def list_dataset_import_jobs(
    self,
    *,
    datasetArn: str = ...,
    nextToken: str = ...,
    maxResults: int = ...,
) -> ListDatasetImportJobsResponseTypeDef:  # (1)
    ...

1. See ListDatasetImportJobsResponseTypeDef

# list_dataset_import_jobs method usage example with argument unpacking

kwargs: ListDatasetImportJobsRequestRequestTypeDef = {  # (1)
    "datasetArn": ...,
}

parent.list_dataset_import_jobs(**kwargs)

1. See ListDatasetImportJobsRequestRequestTypeDef

list_datasets

Returns the list of datasets contained in the given dataset group.

Type annotations and code completion for boto3.client("personalize").list_datasets method. boto3 documentation

# list_datasets method definition

def list_datasets(
    self,
    *,
    datasetGroupArn: str = ...,
    nextToken: str = ...,
    maxResults: int = ...,
) -> ListDatasetsResponseTypeDef:  # (1)
    ...

1. See ListDatasetsResponseTypeDef

# list_datasets method usage example with argument unpacking

kwargs: ListDatasetsRequestRequestTypeDef = {  # (1)
    "datasetGroupArn": ...,
}

parent.list_datasets(**kwargs)

1. See ListDatasetsRequestRequestTypeDef

list_event_trackers

Returns the list of event trackers associated with the account.

Type annotations and code completion for boto3.client("personalize").list_event_trackers method. boto3 documentation

# list_event_trackers method definition

def list_event_trackers(
    self,
    *,
    datasetGroupArn: str = ...,
    nextToken: str = ...,
    maxResults: int = ...,
) -> ListEventTrackersResponseTypeDef:  # (1)
    ...

1. See ListEventTrackersResponseTypeDef

# list_event_trackers method usage example with argument unpacking

kwargs: ListEventTrackersRequestRequestTypeDef = {  # (1)
    "datasetGroupArn": ...,
}

parent.list_event_trackers(**kwargs)

1. See ListEventTrackersRequestRequestTypeDef

list_filters

Lists all filters that belong to a given dataset group.

Type annotations and code completion for boto3.client("personalize").list_filters method. boto3 documentation

# list_filters method definition

def list_filters(
    self,
    *,
    datasetGroupArn: str = ...,
    nextToken: str = ...,
    maxResults: int = ...,
) -> ListFiltersResponseTypeDef:  # (1)
    ...

1. See ListFiltersResponseTypeDef

# list_filters method usage example with argument unpacking

kwargs: ListFiltersRequestRequestTypeDef = {  # (1)
    "datasetGroupArn": ...,
}

parent.list_filters(**kwargs)

1. See ListFiltersRequestRequestTypeDef

list_metric_attribution_metrics

Lists the metrics for the metric attribution.

Type annotations and code completion for boto3.client("personalize").list_metric_attribution_metrics method. boto3 documentation

# list_metric_attribution_metrics method definition

def list_metric_attribution_metrics(
    self,
    *,
    metricAttributionArn: str = ...,
    nextToken: str = ...,
    maxResults: int = ...,
) -> ListMetricAttributionMetricsResponseTypeDef:  # (1)
    ...

1. See ListMetricAttributionMetricsResponseTypeDef

# list_metric_attribution_metrics method usage example with argument unpacking

kwargs: ListMetricAttributionMetricsRequestRequestTypeDef = {  # (1)
    "metricAttributionArn": ...,
}

parent.list_metric_attribution_metrics(**kwargs)

1. See ListMetricAttributionMetricsRequestRequestTypeDef

list_metric_attributions

Lists metric attributions.

Type annotations and code completion for boto3.client("personalize").list_metric_attributions method. boto3 documentation

# list_metric_attributions method definition

def list_metric_attributions(
    self,
    *,
    datasetGroupArn: str = ...,
    nextToken: str = ...,
    maxResults: int = ...,
) -> ListMetricAttributionsResponseTypeDef:  # (1)
    ...

1. See ListMetricAttributionsResponseTypeDef

# list_metric_attributions method usage example with argument unpacking

kwargs: ListMetricAttributionsRequestRequestTypeDef = {  # (1)
    "datasetGroupArn": ...,
}

parent.list_metric_attributions(**kwargs)

1. See ListMetricAttributionsRequestRequestTypeDef

list_recipes

Returns a list of available recipes.

Type annotations and code completion for boto3.client("personalize").list_recipes method. boto3 documentation

# list_recipes method definition

def list_recipes(
    self,
    *,
    recipeProvider: RecipeProviderType = ...,  # (1)
    nextToken: str = ...,
    maxResults: int = ...,
    domain: DomainType = ...,  # (2)
) -> ListRecipesResponseTypeDef:  # (3)
    ...

1. See RecipeProviderType
2. See DomainType
3. See ListRecipesResponseTypeDef

# list_recipes method usage example with argument unpacking

kwargs: ListRecipesRequestRequestTypeDef = {  # (1)
    "recipeProvider": ...,
}

parent.list_recipes(**kwargs)

1. See ListRecipesRequestRequestTypeDef

list_recommenders

Returns a list of recommenders in a given Domain dataset group.

Type annotations and code completion for boto3.client("personalize").list_recommenders method. boto3 documentation

# list_recommenders method definition

def list_recommenders(
    self,
    *,
    datasetGroupArn: str = ...,
    nextToken: str = ...,
    maxResults: int = ...,
) -> ListRecommendersResponseTypeDef:  # (1)
    ...

1. See ListRecommendersResponseTypeDef

# list_recommenders method usage example with argument unpacking

kwargs: ListRecommendersRequestRequestTypeDef = {  # (1)
    "datasetGroupArn": ...,
}

parent.list_recommenders(**kwargs)

1. See ListRecommendersRequestRequestTypeDef

list_schemas

Returns the list of schemas associated with the account.

Type annotations and code completion for boto3.client("personalize").list_schemas method. boto3 documentation

# list_schemas method definition

def list_schemas(
    self,
    *,
    nextToken: str = ...,
    maxResults: int = ...,
) -> ListSchemasResponseTypeDef:  # (1)
    ...

1. See ListSchemasResponseTypeDef

# list_schemas method usage example with argument unpacking

kwargs: ListSchemasRequestRequestTypeDef = {  # (1)
    "nextToken": ...,
}

parent.list_schemas(**kwargs)

1. See ListSchemasRequestRequestTypeDef

list_solution_versions

Returns a list of solution versions for the given solution.

Type annotations and code completion for boto3.client("personalize").list_solution_versions method. boto3 documentation

# list_solution_versions method definition

def list_solution_versions(
    self,
    *,
    solutionArn: str = ...,
    nextToken: str = ...,
    maxResults: int = ...,
) -> ListSolutionVersionsResponseTypeDef:  # (1)
    ...

1. See ListSolutionVersionsResponseTypeDef

# list_solution_versions method usage example with argument unpacking

kwargs: ListSolutionVersionsRequestRequestTypeDef = {  # (1)
    "solutionArn": ...,
}

parent.list_solution_versions(**kwargs)

1. See ListSolutionVersionsRequestRequestTypeDef

list_solutions

Returns a list of solutions in a given dataset group.

Type annotations and code completion for boto3.client("personalize").list_solutions method. boto3 documentation

# list_solutions method definition

def list_solutions(
    self,
    *,
    datasetGroupArn: str = ...,
    nextToken: str = ...,
    maxResults: int = ...,
) -> ListSolutionsResponseTypeDef:  # (1)
    ...

1. See ListSolutionsResponseTypeDef

# list_solutions method usage example with argument unpacking

kwargs: ListSolutionsRequestRequestTypeDef = {  # (1)
    "datasetGroupArn": ...,
}

parent.list_solutions(**kwargs)

1. See ListSolutionsRequestRequestTypeDef

list_tags_for_resource

Get a list of tags attached to a resource.

Type annotations and code completion for boto3.client("personalize").list_tags_for_resource method. boto3 documentation

# list_tags_for_resource method definition

def list_tags_for_resource(
    self,
    *,
    resourceArn: str,
) -> ListTagsForResourceResponseTypeDef:  # (1)
    ...

1. See ListTagsForResourceResponseTypeDef

# list_tags_for_resource method usage example with argument unpacking

kwargs: ListTagsForResourceRequestRequestTypeDef = {  # (1)
    "resourceArn": ...,
}

parent.list_tags_for_resource(**kwargs)

1. See ListTagsForResourceRequestRequestTypeDef

start_recommender

Starts a recommender that is INACTIVE.

Type annotations and code completion for boto3.client("personalize").start_recommender method. boto3 documentation

# start_recommender method definition

def start_recommender(
    self,
    *,
    recommenderArn: str,
) -> StartRecommenderResponseTypeDef:  # (1)
    ...

1. See StartRecommenderResponseTypeDef

# start_recommender method usage example with argument unpacking

kwargs: StartRecommenderRequestRequestTypeDef = {  # (1)
    "recommenderArn": ...,
}

parent.start_recommender(**kwargs)

1. See StartRecommenderRequestRequestTypeDef

stop_recommender

Stops a recommender that is ACTIVE.

Type annotations and code completion for boto3.client("personalize").stop_recommender method. boto3 documentation

# stop_recommender method definition

def stop_recommender(
    self,
    *,
    recommenderArn: str,
) -> StopRecommenderResponseTypeDef:  # (1)
    ...

1. See StopRecommenderResponseTypeDef

# stop_recommender method usage example with argument unpacking

kwargs: StopRecommenderRequestRequestTypeDef = {  # (1)
    "recommenderArn": ...,
}

parent.stop_recommender(**kwargs)

1. See StopRecommenderRequestRequestTypeDef

stop_solution_version_creation

Stops creating a solution version that is in a state of CREATE_PENDING or CREATE IN_PROGRESS.

Type annotations and code completion for boto3.client("personalize").stop_solution_version_creation method. boto3 documentation

# stop_solution_version_creation method definition

def stop_solution_version_creation(
    self,
    *,
    solutionVersionArn: str,
) -> EmptyResponseMetadataTypeDef:  # (1)
    ...

1. See EmptyResponseMetadataTypeDef

# stop_solution_version_creation method usage example with argument unpacking

kwargs: StopSolutionVersionCreationRequestRequestTypeDef = {  # (1)
    "solutionVersionArn": ...,
}

parent.stop_solution_version_creation(**kwargs)

1. See StopSolutionVersionCreationRequestRequestTypeDef

tag_resource

Add a list of tags to a resource.

Type annotations and code completion for boto3.client("personalize").tag_resource method. boto3 documentation

# tag_resource method definition

def tag_resource(
    self,
    *,
    resourceArn: str,
    tags: Sequence[TagTypeDef],  # (1)
) -> dict[str, Any]:
    ...

1. See TagTypeDef

# tag_resource method usage example with argument unpacking

kwargs: TagResourceRequestRequestTypeDef = {  # (1)
    "resourceArn": ...,
    "tags": ...,
}

parent.tag_resource(**kwargs)

1. See TagResourceRequestRequestTypeDef

untag_resource

Removes the specified tags that are attached to a resource.

Type annotations and code completion for boto3.client("personalize").untag_resource method. boto3 documentation

# untag_resource method definition

def untag_resource(
    self,
    *,
    resourceArn: str,
    tagKeys: Sequence[str],
) -> dict[str, Any]:
    ...

# untag_resource method usage example with argument unpacking

kwargs: UntagResourceRequestRequestTypeDef = {  # (1)
    "resourceArn": ...,
    "tagKeys": ...,
}

parent.untag_resource(**kwargs)

1. See UntagResourceRequestRequestTypeDef

update_campaign

Updates a campaign to deploy a retrained solution version with an existing campaign, change your campaign's minProvisionedTPS, or modify your campaign's configuration.

Type annotations and code completion for boto3.client("personalize").update_campaign method. boto3 documentation

# update_campaign method definition

def update_campaign(
    self,
    *,
    campaignArn: str,
    solutionVersionArn: str = ...,
    minProvisionedTPS: int = ...,
    campaignConfig: CampaignConfigTypeDef = ...,  # (1)
) -> UpdateCampaignResponseTypeDef:  # (2)
    ...

1. See CampaignConfigTypeDef
2. See UpdateCampaignResponseTypeDef

# update_campaign method usage example with argument unpacking

kwargs: UpdateCampaignRequestRequestTypeDef = {  # (1)
    "campaignArn": ...,
}

parent.update_campaign(**kwargs)

1. See UpdateCampaignRequestRequestTypeDef

update_dataset

Update a dataset to replace its schema with a new or existing one.

Type annotations and code completion for boto3.client("personalize").update_dataset method. boto3 documentation

# update_dataset method definition

def update_dataset(
    self,
    *,
    datasetArn: str,
    schemaArn: str,
) -> UpdateDatasetResponseTypeDef:  # (1)
    ...

1. See UpdateDatasetResponseTypeDef

# update_dataset method usage example with argument unpacking

kwargs: UpdateDatasetRequestRequestTypeDef = {  # (1)
    "datasetArn": ...,
    "schemaArn": ...,
}

parent.update_dataset(**kwargs)

1. See UpdateDatasetRequestRequestTypeDef

update_metric_attribution

Updates a metric attribution.

Type annotations and code completion for boto3.client("personalize").update_metric_attribution method. boto3 documentation

# update_metric_attribution method definition

def update_metric_attribution(
    self,
    *,
    addMetrics: Sequence[MetricAttributeTypeDef] = ...,  # (1)
    removeMetrics: Sequence[str] = ...,
    metricsOutputConfig: MetricAttributionOutputTypeDef = ...,  # (2)
    metricAttributionArn: str = ...,
) -> UpdateMetricAttributionResponseTypeDef:  # (3)
    ...

1. See MetricAttributeTypeDef
2. See MetricAttributionOutputTypeDef
3. See UpdateMetricAttributionResponseTypeDef

# update_metric_attribution method usage example with argument unpacking

kwargs: UpdateMetricAttributionRequestRequestTypeDef = {  # (1)
    "addMetrics": ...,
}

parent.update_metric_attribution(**kwargs)

1. See UpdateMetricAttributionRequestRequestTypeDef

update_recommender

Updates the recommender to modify the recommender configuration.

Type annotations and code completion for boto3.client("personalize").update_recommender method. boto3 documentation

# update_recommender method definition

def update_recommender(
    self,
    *,
    recommenderArn: str,
    recommenderConfig: RecommenderConfigTypeDef,  # (1)
) -> UpdateRecommenderResponseTypeDef:  # (2)
    ...

1. See RecommenderConfigTypeDef
2. See UpdateRecommenderResponseTypeDef

# update_recommender method usage example with argument unpacking

kwargs: UpdateRecommenderRequestRequestTypeDef = {  # (1)
    "recommenderArn": ...,
    "recommenderConfig": ...,
}

parent.update_recommender(**kwargs)

1. See UpdateRecommenderRequestRequestTypeDef

update_solution

Updates an Amazon Personalize solution to use a different automatic training configuration.

Type annotations and code completion for boto3.client("personalize").update_solution method. boto3 documentation

# update_solution method definition

def update_solution(
    self,
    *,
    solutionArn: str,
    performAutoTraining: bool = ...,
    solutionUpdateConfig: SolutionUpdateConfigTypeDef = ...,  # (1)
) -> UpdateSolutionResponseTypeDef:  # (2)
    ...

1. See SolutionUpdateConfigTypeDef
2. See UpdateSolutionResponseTypeDef

# update_solution method usage example with argument unpacking

kwargs: UpdateSolutionRequestRequestTypeDef = {  # (1)
    "solutionArn": ...,
}

parent.update_solution(**kwargs)

1. See UpdateSolutionRequestRequestTypeDef

get_paginator

Type annotations and code completion for boto3.client("personalize").get_paginator method with overloads.

• client.get_paginator("list_batch_inference_jobs") -> ListBatchInferenceJobsPaginator
• client.get_paginator("list_batch_segment_jobs") -> ListBatchSegmentJobsPaginator
• client.get_paginator("list_campaigns") -> ListCampaignsPaginator
• client.get_paginator("list_dataset_export_jobs") -> ListDatasetExportJobsPaginator
• client.get_paginator("list_dataset_groups") -> ListDatasetGroupsPaginator
• client.get_paginator("list_dataset_import_jobs") -> ListDatasetImportJobsPaginator
• client.get_paginator("list_datasets") -> ListDatasetsPaginator
• client.get_paginator("list_event_trackers") -> ListEventTrackersPaginator
• client.get_paginator("list_filters") -> ListFiltersPaginator
• client.get_paginator("list_metric_attribution_metrics") -> ListMetricAttributionMetricsPaginator
• client.get_paginator("list_metric_attributions") -> ListMetricAttributionsPaginator
• client.get_paginator("list_recipes") -> ListRecipesPaginator
• client.get_paginator("list_recommenders") -> ListRecommendersPaginator
• client.get_paginator("list_schemas") -> ListSchemasPaginator
• client.get_paginator("list_solution_versions") -> ListSolutionVersionsPaginator
• client.get_paginator("list_solutions") -> ListSolutionsPaginator