class_docstr: Vector collection type
  
  This class instantiates a VectorCollectionType object, as subclass of CollectionType
  where the collection type is defined as Vector.
  
  Attributes:
      dimension (int): The dimension size for the Vector.
class_docstr_tok: ["Vector","collection","type","This","class","instantiates","a","VectorCollectionType","object",",","as","subclass","of","CollectionType","where","the","collection","type","is","defined","as","Vector",".","Attributes",":","dimension","(","int",")",":","The","dimension","size","for","the","Vector","."]
docstr: Construct an instance of VectorCollectionType.
  
  Attributes:
  dimension (int): The dimension size for the Vector.
docstr_tok: ["Construct","an","instance","of","VectorCollectionType",".","Attributes",":","dimension","(","int",")",":","The","dimension","size","for","the","Vector","."]
code: def __init__(self, dimension: int):
      """Construct an instance of VectorCollectionType.
  
      Attributes:
      dimension (int): The dimension size for the Vector.
      """
      collection_config: Dict[str, Any] = {}
      vector_config: Dict[str, Any] = {}
      vector_config["Dimension"] = dimension
      collection_config["VectorConfig"] = vector_config
      super(VectorCollectionType, self).__init__(
          CollectionTypeEnum.VECTOR, collection_config
      )
  
imports: from __future__ import absolute_import
  from enum import Enum
  from typing import Dict, Any
  import attr
  from sagemaker.feature_store.inputs import Config
label_desc: Use image node_id 1 to create a new VectorCollectionType object from inherited base classes: CollectionType with example: obj = VectorCollectionType(dimension)