A token returned from the previous call to ListDatasetGroups for getting the next set of dataset groups (if they exist).

The maximum number of dataset groups to return.

A token for getting the next set of dataset groups (if they exist).

The list of your dataset groups.

The response's http status code.

The number of recommendations to retreive.

The configuration details of a batch inference job.

The ARN of the filter to apply to the batch inference job. For more information on using filters, see Filtering Batch Recommendations..

The name of the batch inference job to create.

The Amazon Resource Name (ARN) of the solution version that will be used to generate the batch inference recommendations.

The Amazon S3 path that leads to the input file to base your recommendations on. The input material must be in JSON format.

The path to the Amazon S3 bucket where the job's output will be stored.

The ARN of the Amazon Identity and Access Management role that has permissions to read and write to your input and output Amazon S3 buckets respectively.

The ARN of the batch inference job.

The response's http status code.

The name of the filter to create.

The ARN of the dataset group that the filter will belong to.

The filter expression defines which items are included or excluded from recommendations. Filter expression must follow specific format rules. For information about filter expression structure and syntax, see filter-expressions.

The ARN of the new filter.

The response's http status code.

The name for the dataset import job.

The ARN of the dataset that receives the imported data.

The Amazon S3 bucket that contains the training data to import.

The ARN of the IAM role that has permissions to read from the Amazon S3 data source.

The ARN of the dataset import job.

The response's http status code.

The Amazon Resource Name (ARN) of the solution to describe.

An object that describes the solution.

The response's http status code.

The Amazon Resource Name (ARN) of the dataset export job to describe.

Information about the dataset export job, including the status.

The status is one of the following values:

• CREATE PENDING
• CREATE IN_PROGRESS
• ACTIVE
• CREATE FAILED

The response's http status code.

The Amazon Resource Name (ARN) of the campaign to delete.

The configuration details of a campaign.

Specifies the requested minimum provisioned transactions (recommendations) per second that Amazon Personalize will support.

The ARN of a new solution version to deploy.

The Amazon Resource Name (ARN) of the campaign.

The same campaign ARN as given in the request.

The response's http status code.

The Amazon Resource Name (ARN) of the solution to list the campaigns for. When a solution is not specified, all the campaigns associated with the account are listed.

A token returned from the previous call to ListCampaigns for getting the next set of campaigns (if they exist).

The maximum number of campaigns to return.

A list of the campaigns.

A token for getting the next set of campaigns (if they exist).

The response's http status code.

The Amazon Resource Name (ARN) of the dataset to describe.

A listing of the dataset's properties.

The response's http status code.

The scope of training to be performed when creating the solution version. The FULL option trains the solution version based on the entirety of the input solution's training data, while the UPDATE option processes only the data that has changed in comparison to the input solution. Choose UPDATE when you want to incrementally update your solution version instead of creating an entirely new one.

The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the HRNN-Coldstart recipe.

The Amazon Resource Name (ARN) of the solution containing the training configuration information.

The ARN of the new solution version.

The response's http status code.

The Amazon Resource Name (ARN) of the solution version you want to stop creating.

The configuration details of a campaign.

Specifies the requested minimum provisioned transactions (recommendations) per second that Amazon Personalize will support.

A name for the new campaign. The campaign name must be unique within your account.

The Amazon Resource Name (ARN) of the solution version to deploy.

The Amazon Resource Name (ARN) of the campaign.

The response's http status code.

The ARN of the filter to describe.

The filter's details.

The response's http status code.

A token returned from the previous call to ListEventTrackers for getting the next set of event trackers (if they exist).

The ARN of a dataset group used to filter the response.

The maximum number of event trackers to return.

A list of event trackers.

A token for getting the next set of event trackers (if they exist).

The response's http status code.

The data to export, based on how you imported the data. You can choose to export only BULK data that you imported using a dataset import job, only PUT data that you imported incrementally (using the console, PutEvents, PutUsers and PutItems operations), or ALL for both types. The default value is PUT.

The name for the dataset export job.

The Amazon Resource Name (ARN) of the dataset that contains the data to export.

The Amazon Resource Name (ARN) of the IAM service role that has permissions to add data to your output Amazon S3 bucket.

The path to the Amazon S3 bucket where the job's output is stored.

The Amazon Resource Name (ARN) of the dataset export job.

The response's http status code.

Whether to perform automated machine learning (AutoML). The default is false. For this case, you must specify recipeArn.

When set to true, Amazon Personalize analyzes your training data and selects the optimal USER_PERSONALIZATION recipe and hyperparameters. In this case, you must omit recipeArn. Amazon Personalize determines the optimal recipe by running tests with different values for the hyperparameters. AutoML lengthens the training process as compared to selecting a specific recipe.

The ARN of the recipe to use for model training. Only specified when performAutoML is false.

When your have multiple event types (using an EVENT_TYPE schema field), this parameter specifies which event type (for example, 'click' or 'like') is used for training the model.

If you do not provide an eventType, Amazon Personalize will use all interactions for training with equal weight regardless of type.

The configuration to use with the solution. When performAutoML is set to true, Amazon Personalize only evaluates the autoMLConfig section of the solution configuration.

Amazon Personalize doesn't support configuring the hpoObjective at this time.

Whether to perform hyperparameter optimization (HPO) on the specified or selected recipe. The default is false.

When performing AutoML, this parameter is always true and you should not set it to false.

The name for the solution.

The Amazon Resource Name (ARN) of the dataset group that provides the training data.

The ARN of the solution.

The response's http status code.

The Amazon Resource Name (ARN) of the event tracker to delete.

The Amazon Resource Name (ARN) of the dataset import job to describe.

Information about the dataset import job, including the status.

The status is one of the following values:

• CREATE PENDING
• CREATE IN_PROGRESS
• ACTIVE
• CREATE FAILED

The response's http status code.

A token returned from the previous call to ListSchemas for getting the next set of schemas (if they exist).

The maximum number of schemas to return.

A list of schemas.

A token used to get the next set of schemas (if they exist).

The response's http status code.

The name for the event tracker.

The Amazon Resource Name (ARN) of the dataset group that receives the event data.

The ID of the event tracker. Include this ID in requests to the PutEvents API.

The ARN of the event tracker.

The response's http status code.

The ARN of the solution to delete.

The Amazon Resource Name (ARN) of the campaign.

The properties of the campaign.

The response's http status code.

The Amazon Resource Name (ARN) of the dataset to delete.

The name for the dataset.

The ARN of the schema to associate with the dataset. The schema defines the dataset fields.

The Amazon Resource Name (ARN) of the dataset group to add the dataset to.

The type of dataset.

One of the following (case insensitive) values:

• Interactions
• Items
• Users

The ARN of the dataset.

The response's http status code.

The Amazon Resource Name (ARN) of the solution version.

The solution version.

The response's http status code.

The Amazon Resource Name (ARN) of the event tracker to describe.

An object that describes the event tracker.

The response's http status code.

The Amazon Resource Name (ARN) of the dataset to list the dataset import jobs for.

A token returned from the previous call to ListDatasetImportJobs for getting the next set of dataset import jobs (if they exist).

The maximum number of dataset import jobs to return.

The list of dataset import jobs.

A token for getting the next set of dataset import jobs (if they exist).

The response's http status code.

The ARN of the filter to delete.

The token to request the next page of results.

The maximum number of batch inference job results to return in each page. The default value is 100.

The Amazon Resource Name (ARN) of the solution version from which the batch inference jobs were created.

A list containing information on each job that is returned.

The token to use to retrieve the next page of results. The value is null when there are no more results to return.

The response's http status code.

A token returned from the previous call to ListFilters for getting the next set of filters (if they exist).

The ARN of the dataset group that contains the filters.

The maximum number of filters to return.

A list of returned filters.

A token for getting the next set of filters (if they exist).

The response's http status code.

The ARN of the dataset group to delete.

The Amazon Resource Name (ARN) of the schema to retrieve.

The requested schema.

The response's http status code.

The Amazon Resource Name (ARN) of the algorithm to describe.

A listing of the properties of the algorithm.

The response's http status code.

The Amazon Resource Name (ARN) of the solution.

A token returned from the previous call to ListSolutionVersions for getting the next set of solution versions (if they exist).

The maximum number of solution versions to return.

A token for getting the next set of solution versions (if they exist).

A list of solution versions describing the version properties.

The response's http status code.

The ARN of the batch inference job to describe.

Information on the specified batch inference job.

The response's http status code.

The name for the schema.

A schema in Avro JSON format.

The Amazon Resource Name (ARN) of the created schema.

The response's http status code.

The Amazon Resource Name (ARN) of the recipe to describe.

An object that describes the recipe.

The response's http status code.

A token returned from the previous call to ListSolutions for getting the next set of solutions (if they exist).

The Amazon Resource Name (ARN) of the dataset group.

The maximum number of solutions to return.

A token for getting the next set of solutions (if they exist).

A list of the current solutions.

The response's http status code.

The Amazon Resource Name (ARN) of the dataset to list the dataset export jobs for.

A token returned from the previous call to ListDatasetExportJobs for getting the next set of dataset export jobs (if they exist).

The maximum number of dataset export jobs to return.

A token for getting the next set of dataset export jobs (if they exist).

The list of dataset export jobs.

The response's http status code.

The Amazon Resource Name (ARN) of the dataset group to describe.

A listing of the dataset group's properties.

The response's http status code.

The Amazon Resource Name (ARN) of the feature transformation to describe.

A listing of the FeatureTransformation properties.

The response's http status code.

The Amazon Resource Name (ARN) of the solution version for which to get metrics.

The metrics for the solution version.

The same solution version ARN as specified in the request.

The response's http status code.

The Amazon Resource Name (ARN) of the schema to delete.

A token returned from the previous call to ListDatasetImportJobs for getting the next set of dataset import jobs (if they exist).

The Amazon Resource Name (ARN) of the dataset group that contains the datasets to list.

The maximum number of datasets to return.

A token for getting the next set of datasets (if they exist).

An array of Dataset objects. Each object provides metadata information.

The response's http status code.

The Amazon Resource Name (ARN) of a Key Management Service (KMS) key used to encrypt the datasets.

The ARN of the Identity and Access Management (IAM) role that has permissions to access the Key Management Service (KMS) key. Supplying an IAM role is only valid when also specifying a KMS key.

The name for the new dataset group.

The Amazon Resource Name (ARN) of the new dataset group.

The response's http status code.

A token returned from the previous call to ListRecipes for getting the next set of recipes (if they exist).

The maximum number of recipes to return.

The default is SERVICE.

A token for getting the next set of recipes.

The list of available recipes.

The response's http status code.

Specifies the default hyperparameters.

The Amazon Resource Name (ARN) of the algorithm.

The training input mode.

Specifies the default hyperparameters, their ranges, and whether they are tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).

The URI of the Docker container for the algorithm image.

The date and time (in Unix time) that the algorithm was last updated.

The name of the algorithm.

The date and time (in Unix time) that the algorithm was created.

Specifies the default maximum number of training jobs and parallel training jobs.

The Amazon Resource Name (ARN) of the role.

The name of the algorithm image.

The URI of the Docker container for the algorithm image.

The list of candidate recipes.

The metric to optimize.

The Amazon Resource Name (ARN) of the best recipe.

If the batch inference job failed, the reason for the failure.

The status of the batch inference job. The status is one of the following values:

• PENDING
• IN PROGRESS
• ACTIVE
• CREATE FAILED

The Amazon S3 bucket that contains the output data generated by the batch inference job.

The name of the batch inference job.

The time at which the batch inference job was last updated.

The number of recommendations generated by the batch inference job. This number includes the error messages generated for failed input records.

A string to string map of the configuration details of a batch inference job.

The Amazon Resource Name (ARN) of the batch inference job.

The ARN of the filter used on the batch inference job.

The time at which the batch inference job was created.

The Amazon Resource Name (ARN) of the solution version from which the batch inference job was created.

The ARN of the Amazon Identity and Access Management (IAM) role that requested the batch inference job.

The Amazon S3 path that leads to the input data used to generate the batch inference job.

A string to string map specifying the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. See User-Personalization.

The URI of the Amazon S3 location that contains your input data. The Amazon S3 bucket must be in the same region as the API endpoint you are calling.

Information on the Amazon S3 bucket in which the batch inference job's output is stored.

If the batch inference job failed, the reason for the failure.

The status of the batch inference job. The status is one of the following values:

• PENDING
• IN PROGRESS
• ACTIVE
• CREATE FAILED

The name of the batch inference job.

The time at which the batch inference job was last updated.

The Amazon Resource Name (ARN) of the batch inference job.

The time at which the batch inference job was created.

The ARN of the solution version used by the batch inference job.

If a campaign fails, the reason behind the failure.

The status of the campaign.

A campaign can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
• DELETE PENDING > DELETE IN_PROGRESS

The date and time (in Unix format) that the campaign was last updated.

The configuration details of a campaign.

Undocumented member.

The name of the campaign.

Specifies the requested minimum provisioned transactions (recommendations) per second.

The date and time (in Unix format) that the campaign was created.

The Amazon Resource Name (ARN) of the campaign.

The Amazon Resource Name (ARN) of a specific version of the solution.

A string to string map specifying the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. Provide itemExplorationConfig data only if your solution uses the User-Personalization recipe.

If a campaign fails, the reason behind the failure.

The status of the campaign.

A campaign can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
• DELETE PENDING > DELETE IN_PROGRESS

The date and time (in Unix time) that the campaign was last updated.

The name of the campaign.

The date and time (in Unix time) that the campaign was created.

The Amazon Resource Name (ARN) of the campaign.

If a campaign update fails, the reason behind the failure.

The status of the campaign update.

A campaign update can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
• DELETE PENDING > DELETE IN_PROGRESS

The date and time (in Unix time) that the campaign update was last updated.

Undocumented member.

Specifies the requested minimum provisioned transactions (recommendations) per second that Amazon Personalize will support.

The date and time (in Unix time) that the campaign update was created.

The Amazon Resource Name (ARN) of the deployed solution version.

A list of the categories for the hyperparameter.

The name of the hyperparameter.

The maximum allowable value for the hyperparameter.

The name of the hyperparameter.

The minimum allowable value for the hyperparameter.

The path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored. For example:

s3://bucket-name/folder-name/

The status of the dataset.

A dataset can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
• DELETE PENDING > DELETE IN_PROGRESS

The Amazon Resource Name (ARN) of the dataset that you want metadata for.

A time stamp that shows when the dataset was updated.

The ARN of the associated schema.

The name of the dataset.

One of the following values:

• Interactions
• Items
• Users

The creation date and time (in Unix time) of the dataset.

The Amazon Resource Name (ARN) of the dataset group.

If a dataset export job fails, provides the reason why.

The status of the dataset export job.

A dataset export job can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

The Amazon Resource Name (ARN) of the dataset export job.

The Amazon Resource Name (ARN) of the dataset to export.

The path to the Amazon S3 bucket where the job's output is stored. For example:

s3://bucket-name/folder-name/

The name of the export job.

The date and time (in Unix time) the status of the dataset export job was last updated.

The data to export, based on how you imported the data. You can choose to export BULK data that you imported using a dataset import job, PUT data that you imported incrementally (using the console, PutEvents, PutUsers and PutItems operations), or ALL for both types. The default value is PUT.

The creation date and time (in Unix time) of the dataset export job.

The Amazon Resource Name (ARN) of the IAM service role that has permissions to add data to your output Amazon S3 bucket.

Undocumented member.

If a dataset export job fails, the reason behind the failure.

The status of the dataset export job.

A dataset export job can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

The Amazon Resource Name (ARN) of the dataset export job.

The name of the dataset export job.

The date and time (in Unix time) that the dataset export job status was last updated.

The date and time (in Unix time) that the dataset export job was created.

If creating a dataset group fails, provides the reason why.

The current status of the dataset group.

A dataset group can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
• DELETE PENDING

The Amazon Resource Name (ARN) of the Key Management Service (KMS) key used to encrypt the datasets.

The last update date and time (in Unix time) of the dataset group.

The name of the dataset group.

The creation date and time (in Unix time) of the dataset group.

The Amazon Resource Name (ARN) of the dataset group.

The ARN of the IAM role that has permissions to create the dataset group.

If creating a dataset group fails, the reason behind the failure.

The status of the dataset group.

A dataset group can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
• DELETE PENDING

The date and time (in Unix time) that the dataset group was last updated.

The name of the dataset group.

The date and time (in Unix time) that the dataset group was created.

The Amazon Resource Name (ARN) of the dataset group.

If a dataset import job fails, provides the reason why.

The status of the dataset import job.

A dataset import job can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

The Amazon Resource Name (ARN) of the dataset that receives the imported data.

The name of the import job.

The date and time (in Unix time) the dataset was last updated.

The ARN of the dataset import job.

The Amazon S3 bucket that contains the training data to import.

The creation date and time (in Unix time) of the dataset import job.

The ARN of the IAM role that has permissions to read from the Amazon S3 data source.

If a dataset import job fails, the reason behind the failure.

The status of the dataset import job.

A dataset import job can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

The name of the dataset import job.

The date and time (in Unix time) that the dataset import job status was last updated.

The Amazon Resource Name (ARN) of the dataset import job.

The date and time (in Unix time) that the dataset import job was created.

The date and time (in Unix time) that the schema was last updated.

The schema.

The Amazon Resource Name (ARN) of the schema.

The name of the schema.

The date and time (in Unix time) that the schema was created.

The date and time (in Unix time) that the schema was last updated.

The Amazon Resource Name (ARN) of the schema.

The name of the schema.

The date and time (in Unix time) that the schema was created.

The status of the dataset.

A dataset can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
• DELETE PENDING > DELETE IN_PROGRESS

The Amazon Resource Name (ARN) of the dataset.

The date and time (in Unix time) that the dataset was last updated.

The name of the dataset.

The dataset type. One of the following values:

• Interactions
• Items
• Users
• Event-Interactions

The date and time (in Unix time) that the dataset was created.

Whether the hyperparameter is tunable.

A list of the categories for the hyperparameter.

The name of the hyperparameter.

The maximum allowable value for the hyperparameter.

Whether the hyperparameter is tunable.

The name of the hyperparameter.

The minimum allowable value for the hyperparameter.

The integer-valued hyperparameters and their default ranges.

The categorical hyperparameters and their default ranges.

The continuous hyperparameters and their default ranges.

The maximum allowable value for the hyperparameter.

Indicates whether the hyperparameter is tunable.

The name of the hyperparameter.

The minimum allowable value for the hyperparameter.

The status of the event tracker.

An event tracker can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
• DELETE PENDING > DELETE IN_PROGRESS

The ID of the event tracker. Include this ID in requests to the PutEvents API.

The date and time (in Unix time) that the event tracker was last updated.

The Amazon Web Services account that owns the event tracker.

The name of the event tracker.

The date and time (in Unix format) that the event tracker was created.

The Amazon Resource Name (ARN) of the dataset group that receives the event data.

The ARN of the event tracker.

The status of the event tracker.

An event tracker can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
• DELETE PENDING > DELETE IN_PROGRESS

The date and time (in Unix time) that the event tracker was last updated.

The name of the event tracker.

The date and time (in Unix time) that the event tracker was created.

The Amazon Resource Name (ARN) of the event tracker.

The status of the feature transformation.

A feature transformation can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

The Amazon Resource Name (ARN) of the FeatureTransformation object.

The last update date and time (in Unix time) of the feature transformation.

The name of the feature transformation.

The creation date and time (in Unix time) of the feature transformation.

Provides the default parameters for feature transformation.

If the filter failed, the reason for its failure.

The status of the filter.

Specifies the type of item interactions to filter out of recommendation results. The filter expression must follow specific format rules. For information about filter expression structure and syntax, see filter-expressions.

The time at which the filter was last updated.

The name of the filter.

The ARN of the filter.

The time at which the filter was created.

The ARN of the dataset group to which the filter belongs.

If the filter failed, the reason for the failure.

The status of the filter.

The time at which the filter was last updated.

The name of the filter.

The ARN of the filter.

The time at which the filter was created.

The ARN of the dataset group to which the filter belongs.

The hyperparameters and their allowable ranges.

Describes the resource configuration for HPO.

The metric to optimize during HPO.

Amazon Personalize doesn't support configuring the hpoObjective at this time.

The name of the metric.

The type of the metric. Valid values are Maximize and Minimize.

A regular expression for finding the metric in the training job logs.

The maximum number of training jobs when you create a solution version. The maximum value for maxNumberOfTrainingJobs is 40.

The maximum number of parallel training jobs when you create a solution version. The maximum value for maxParallelTrainingJobs is 10.

The integer-valued hyperparameters and their ranges.

The categorical hyperparameters and their ranges.

The continuous hyperparameters and their ranges.

The maximum allowable value for the hyperparameter.

The name of the hyperparameter.

The minimum allowable value for the hyperparameter.

The numerical metadata column in an Items dataset related to the optimization objective. For example, VIDEO_LENGTH (to maximize streaming minutes), or PRICE (to maximize revenue).

Specifies how Amazon Personalize balances the importance of your optimization objective versus relevance.

The status of the recipe.

The Amazon Resource Name (ARN) of the algorithm that Amazon Personalize uses to train the model.

The Amazon Resource Name (ARN) of the recipe.

The ARN of the FeatureTransformation object.

The date and time (in Unix format) that the recipe was last updated.

The name of the recipe.

The date and time (in Unix format) that the recipe was created.

One of the following values:

• PERSONALIZED_RANKING
• RELATED_ITEMS
• USER_PERSONALIZATION

The description of the recipe.

The status of the recipe.

The Amazon Resource Name (ARN) of the recipe.

The date and time (in Unix time) that the recipe was last updated.

The name of the recipe.

The date and time (in Unix time) that the recipe was created.

The Amazon Resource Name (ARN) of the Key Management Service (KMS) key that Amazon Personalize uses to encrypt or decrypt the input and output files of a batch inference job.

The file path of the Amazon S3 bucket.

The ARN of the solution.

The status of the solution.

A solution can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
• DELETE PENDING > DELETE IN_PROGRESS

When true, Amazon Personalize performs a search for the best USER_PERSONALIZATION recipe from the list specified in the solution configuration (recipeArn must not be specified). When false (the default), Amazon Personalize uses recipeArn for training.

The ARN of the recipe used to create the solution.

The date and time (in Unix time) that the solution was last updated.

The event type (for example, 'click' or 'like') that is used for training the model. If no eventType is provided, Amazon Personalize uses all interactions for training with equal weight regardless of type.

The name of the solution.

When performAutoML is true, specifies the best recipe found.

The creation date and time (in Unix time) of the solution.

The Amazon Resource Name (ARN) of the dataset group that provides the training data.

Describes the latest version of the solution, including the status and the ARN.

Describes the configuration properties for the solution.

Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.

Lists the feature transformation parameters.

Describes the properties for hyperparameter optimization (HPO).

Only events with a value greater than or equal to this threshold are used for training a model.

The AutoMLConfig object containing a list of recipes to search when AutoML is performed.

Lists the hyperparameter names and ranges.

Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.

The Amazon Resource Name (ARN) of the solution.

The status of the solution.

A solution can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
• DELETE PENDING > DELETE IN_PROGRESS