Personalize Feature Transformation

Personalize Feature Transformation in AWS is part of Amazon Personalize, which prepares and processes input data for machine learning models. It applies transformations such as normalization, encoding, and handling of categorical or numerical features to ensure the data is in the right format for training recommendation models. This step improves the quality and accuracy of personalized recommendations.

aws.personalize_feature_transformation

Fields

TitleIDTypeData TypeDescription
_keycorestring
account_idcorestring
creation_date_timecoretimestampThe creation date and time (in Unix time) of the feature transformation.
default_parameterscorehstoreProvides the default parameters for feature transformation.
feature_transformation_arncorestringThe Amazon Resource Name (ARN) of the FeatureTransformation object.
last_updated_date_timecoretimestampThe last update date and time (in Unix time) of the feature transformation.
namecorestringThe name of the feature transformation.
statuscorestringThe 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
tagscorehstore