CfnCollaboration
- class aws_cdk.aws_cleanrooms.CfnCollaboration(scope, id, *, creator_display_name, creator_member_abilities, description, members, name, query_log_status, analytics_engine=None, creator_ml_member_abilities=None, creator_payment_configuration=None, data_encryption_metadata=None, tags=None)
Bases:
CfnResource
Creates a new collaboration.
- See:
- CloudformationResource:
AWS::CleanRooms::Collaboration
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_cleanrooms as cleanrooms cfn_collaboration = cleanrooms.CfnCollaboration(self, "MyCfnCollaboration", creator_display_name="creatorDisplayName", creator_member_abilities=["creatorMemberAbilities"], description="description", members=[cleanrooms.CfnCollaboration.MemberSpecificationProperty( account_id="accountId", display_name="displayName", member_abilities=["memberAbilities"], # the properties below are optional ml_member_abilities=cleanrooms.CfnCollaboration.MLMemberAbilitiesProperty( custom_ml_member_abilities=["customMlMemberAbilities"] ), payment_configuration=cleanrooms.CfnCollaboration.PaymentConfigurationProperty( query_compute=cleanrooms.CfnCollaboration.QueryComputePaymentConfigProperty( is_responsible=False ), # the properties below are optional machine_learning=cleanrooms.CfnCollaboration.MLPaymentConfigProperty( model_inference=cleanrooms.CfnCollaboration.ModelInferencePaymentConfigProperty( is_responsible=False ), model_training=cleanrooms.CfnCollaboration.ModelTrainingPaymentConfigProperty( is_responsible=False ) ) ) )], name="name", query_log_status="queryLogStatus", # the properties below are optional analytics_engine="analyticsEngine", creator_ml_member_abilities=cleanrooms.CfnCollaboration.MLMemberAbilitiesProperty( custom_ml_member_abilities=["customMlMemberAbilities"] ), creator_payment_configuration=cleanrooms.CfnCollaboration.PaymentConfigurationProperty( query_compute=cleanrooms.CfnCollaboration.QueryComputePaymentConfigProperty( is_responsible=False ), # the properties below are optional machine_learning=cleanrooms.CfnCollaboration.MLPaymentConfigProperty( model_inference=cleanrooms.CfnCollaboration.ModelInferencePaymentConfigProperty( is_responsible=False ), model_training=cleanrooms.CfnCollaboration.ModelTrainingPaymentConfigProperty( is_responsible=False ) ) ), data_encryption_metadata=cleanrooms.CfnCollaboration.DataEncryptionMetadataProperty( allow_cleartext=False, allow_duplicates=False, allow_joins_on_columns_with_different_names=False, preserve_nulls=False ), tags=[CfnTag( key="key", value="value" )] )
- Parameters:
scope (
Construct
) – Scope in which this resource is defined.id (
str
) – Construct identifier for this resource (unique in its scope).creator_display_name (
str
) – A display name of the collaboration creator.creator_member_abilities (
Sequence
[str
]) – The abilities granted to the collaboration creator. Allowed valuesCAN_QUERY
|CAN_RECEIVE_RESULTS
description (
str
) – A description of the collaboration provided by the collaboration owner.members (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,MemberSpecificationProperty
,Dict
[str
,Any
]]]]) – A list of initial members, not including the creator. This list is immutable.name (
str
) – A human-readable identifier provided by the collaboration owner. Display names are not unique.query_log_status (
str
) – An indicator as to whether query logging has been enabled or disabled for the collaboration.analytics_engine (
Optional
[str
]) – The analytics engine for the collaboration.creator_ml_member_abilities (
Union
[IResolvable
,MLMemberAbilitiesProperty
,Dict
[str
,Any
],None
]) – The ML member abilities for a collaboration member.creator_payment_configuration (
Union
[IResolvable
,PaymentConfigurationProperty
,Dict
[str
,Any
],None
]) – An object representing the collaboration member’s payment responsibilities set by the collaboration creator.data_encryption_metadata (
Union
[IResolvable
,DataEncryptionMetadataProperty
,Dict
[str
,Any
],None
]) – The settings for client-side encryption for cryptographic computing.tags (
Optional
[Sequence
[Union
[CfnTag
,Dict
[str
,Any
]]]]) – An optional label that you can assign to a resource when you create it. Each tag consists of a key and an optional value, both of which you define. When you use tagging, you can also use tag-based access control in IAM policies to control access to this resource.
Methods
- add_deletion_override(path)
Syntactic sugar for
addOverride(path, undefined)
.- Parameters:
path (
str
) – The path of the value to delete.- Return type:
None
- add_dependency(target)
Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- add_depends_on(target)
(deprecated) Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
- Parameters:
target (
CfnResource
) –- Deprecated:
use addDependency
- Stability:
deprecated
- Return type:
None
- add_metadata(key, value)
Add a value to the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –value (
Any
) –
- See:
- Return type:
None
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- add_override(path, value)
Adds an override to the synthesized CloudFormation resource.
To add a property override, either use
addPropertyOverride
or prefixpath
with “Properties.” (i.e.Properties.TopicName
).If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.
To include a literal
.
in the property name, prefix with a\
. In most programming languages you will need to write this as"\\."
because the\
itself will need to be escaped.For example:
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"]) cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")
would add the overrides Example:
"Properties": { "GlobalSecondaryIndexes": [ { "Projection": { "NonKeyAttributes": [ "myattribute" ] ... } ... }, { "ProjectionType": "INCLUDE" ... }, ] ... }
The
value
argument toaddOverride
will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.- Parameters:
path (
str
) –The path of the property, you can use dot notation to override values in complex types. Any intermediate keys will be created as needed.
value (
Any
) –The value. Could be primitive or complex.
- Return type:
None
- add_property_deletion_override(property_path)
Adds an override that deletes the value of a property from the resource definition.
- Parameters:
property_path (
str
) – The path to the property.- Return type:
None
- add_property_override(property_path, value)
Adds an override to a resource property.
Syntactic sugar for
addOverride("Properties.<...>", value)
.- Parameters:
property_path (
str
) – The path of the property.value (
Any
) – The value.
- Return type:
None
- apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)
Sets the deletion policy of the resource based on the removal policy specified.
The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.
The resource can be deleted (
RemovalPolicy.DESTROY
), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN
). In some cases, a snapshot can be taken of the resource prior to deletion (RemovalPolicy.SNAPSHOT
). A list of resources that support this policy can be found in the following link:- Parameters:
policy (
Optional
[RemovalPolicy
]) –apply_to_update_replace_policy (
Optional
[bool
]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: truedefault (
Optional
[RemovalPolicy
]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resource, please consult that specific resource’s documentation.
- See:
- Return type:
None
- get_att(attribute_name, type_hint=None)
Returns a token for an runtime attribute of this resource.
Ideally, use generated attribute accessors (e.g.
resource.arn
), but this can be used for future compatibility in case there is no generated attribute.- Parameters:
attribute_name (
str
) – The name of the attribute.type_hint (
Optional
[ResolutionTypeHint
]) –
- Return type:
- get_metadata(key)
Retrieve a value value from the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –- See:
- Return type:
Any
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- inspect(inspector)
Examines the CloudFormation resource and discloses attributes.
- Parameters:
inspector (
TreeInspector
) – tree inspector to collect and process attributes.- Return type:
None
- obtain_dependencies()
Retrieves an array of resources this resource depends on.
This assembles dependencies on resources across stacks (including nested stacks) automatically.
- Return type:
List
[Union
[Stack
,CfnResource
]]
- obtain_resource_dependencies()
Get a shallow copy of dependencies between this resource and other resources in the same stack.
- Return type:
List
[CfnResource
]
- override_logical_id(new_logical_id)
Overrides the auto-generated logical ID with a specific ID.
- Parameters:
new_logical_id (
str
) – The new logical ID to use for this stack element.- Return type:
None
- remove_dependency(target)
Indicates that this resource no longer depends on another resource.
This can be used for resources across stacks (including nested stacks) and the dependency will automatically be removed from the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- replace_dependency(target, new_target)
Replaces one dependency with another.
- Parameters:
target (
CfnResource
) – The dependency to replace.new_target (
CfnResource
) – The new dependency to add.
- Return type:
None
- to_string()
Returns a string representation of this construct.
- Return type:
str
- Returns:
a string representation of this resource
Attributes
- CFN_RESOURCE_TYPE_NAME = 'AWS::CleanRooms::Collaboration'
- analytics_engine
The analytics engine for the collaboration.
- attr_arn
Returns the Amazon Resource Name (ARN) of the specified collaboration.
Example:
arn:aws:cleanrooms:us-east-1:111122223333:collaboration/a1b2c3d4-5678-90ab-cdef-EXAMPLE11111
- CloudformationAttribute:
Arn
- attr_collaboration_identifier
Returns the unique identifier of the specified collaboration.
Example:
a1b2c3d4-5678-90ab-cdef-EXAMPLE11111
- CloudformationAttribute:
CollaborationIdentifier
- cdk_tag_manager
Tag Manager which manages the tags for this resource.
- cfn_options
Options for this resource, such as condition, update policy etc.
- cfn_resource_type
AWS resource type.
- creation_stack
return:
the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.
- creator_display_name
A display name of the collaboration creator.
- creator_member_abilities
The abilities granted to the collaboration creator.
- creator_ml_member_abilities
The ML member abilities for a collaboration member.
- creator_payment_configuration
An object representing the collaboration member’s payment responsibilities set by the collaboration creator.
- data_encryption_metadata
The settings for client-side encryption for cryptographic computing.
- description
A description of the collaboration provided by the collaboration owner.
- logical_id
The logical ID for this CloudFormation stack element.
The logical ID of the element is calculated from the path of the resource node in the construct tree.
To override this value, use
overrideLogicalId(newLogicalId)
.- Returns:
the logical ID as a stringified token. This value will only get resolved during synthesis.
- members
A list of initial members, not including the creator.
- name
A human-readable identifier provided by the collaboration owner.
- node
The tree node.
- query_log_status
An indicator as to whether query logging has been enabled or disabled for the collaboration.
- ref
Return a string that will be resolved to a CloudFormation
{ Ref }
for this element.If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through
Lazy.any({ produce: resource.ref })
.
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
- tags
An optional label that you can assign to a resource when you create it.
Static Methods
- classmethod is_cfn_element(x)
Returns
true
if a construct is a stack element (i.e. part of the synthesized cloudformation template).Uses duck-typing instead of
instanceof
to allow stack elements from different versions of this library to be included in the same stack.- Parameters:
x (
Any
) –- Return type:
bool
- Returns:
The construct as a stack element or undefined if it is not a stack element.
- classmethod is_cfn_resource(x)
Check whether the given object is a CfnResource.
- Parameters:
x (
Any
) –- Return type:
bool
- classmethod is_construct(x)
Checks if
x
is a construct.Use this method instead of
instanceof
to properly detectConstruct
instances, even when the construct library is symlinked.Explanation: in JavaScript, multiple copies of the
constructs
library on disk are seen as independent, completely different libraries. As a consequence, the classConstruct
in each copy of theconstructs
library is seen as a different class, and an instance of one class will not test asinstanceof
the other class.npm install
will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of theconstructs
library can be accidentally installed, andinstanceof
will behave unpredictably. It is safest to avoid usinginstanceof
, and using this type-testing method instead.- Parameters:
x (
Any
) – Any object.- Return type:
bool
- Returns:
true if
x
is an object created from a class which extendsConstruct
.
DataEncryptionMetadataProperty
- class CfnCollaboration.DataEncryptionMetadataProperty(*, allow_cleartext, allow_duplicates, allow_joins_on_columns_with_different_names, preserve_nulls)
Bases:
object
The settings for client-side encryption for cryptographic computing.
- Parameters:
allow_cleartext (
Union
[bool
,IResolvable
]) – Indicates whether encrypted tables can contain cleartext data (TRUE
) or are to cryptographically process every column (FALSE
).allow_duplicates (
Union
[bool
,IResolvable
]) – Indicates whether Fingerprint columns can contain duplicate entries (TRUE
) or are to contain only non-repeated values (FALSE
).allow_joins_on_columns_with_different_names (
Union
[bool
,IResolvable
]) – Indicates whether Fingerprint columns can be joined on any other Fingerprint column with a different name (TRUE
) or can only be joined on Fingerprint columns of the same name (FALSE
).preserve_nulls (
Union
[bool
,IResolvable
]) – Indicates whether NULL values are to be copied as NULL to encrypted tables (TRUE
) or cryptographically processed (FALSE
).
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_cleanrooms as cleanrooms data_encryption_metadata_property = cleanrooms.CfnCollaboration.DataEncryptionMetadataProperty( allow_cleartext=False, allow_duplicates=False, allow_joins_on_columns_with_different_names=False, preserve_nulls=False )
Attributes
- allow_cleartext
Indicates whether encrypted tables can contain cleartext data (
TRUE
) or are to cryptographically process every column (FALSE
).
- allow_duplicates
Indicates whether Fingerprint columns can contain duplicate entries (
TRUE
) or are to contain only non-repeated values (FALSE
).
- allow_joins_on_columns_with_different_names
Indicates whether Fingerprint columns can be joined on any other Fingerprint column with a different name (
TRUE
) or can only be joined on Fingerprint columns of the same name (FALSE
).
- preserve_nulls
Indicates whether NULL values are to be copied as NULL to encrypted tables (
TRUE
) or cryptographically processed (FALSE
).
MLMemberAbilitiesProperty
- class CfnCollaboration.MLMemberAbilitiesProperty(*, custom_ml_member_abilities)
Bases:
object
The ML member abilities for a collaboration member.
- Parameters:
custom_ml_member_abilities (
Sequence
[str
]) – The custom ML member abilities for a collaboration member.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_cleanrooms as cleanrooms m_lMember_abilities_property = cleanrooms.CfnCollaboration.MLMemberAbilitiesProperty( custom_ml_member_abilities=["customMlMemberAbilities"] )
Attributes
- custom_ml_member_abilities
The custom ML member abilities for a collaboration member.
MLPaymentConfigProperty
- class CfnCollaboration.MLPaymentConfigProperty(*, model_inference=None, model_training=None)
Bases:
object
An object representing the collaboration member’s machine learning payment responsibilities set by the collaboration creator.
- Parameters:
model_inference (
Union
[IResolvable
,ModelInferencePaymentConfigProperty
,Dict
[str
,Any
],None
]) – The payment responsibilities accepted by the member for model inference.model_training (
Union
[IResolvable
,ModelTrainingPaymentConfigProperty
,Dict
[str
,Any
],None
]) – The payment responsibilities accepted by the member for model training.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_cleanrooms as cleanrooms m_lPayment_config_property = cleanrooms.CfnCollaboration.MLPaymentConfigProperty( model_inference=cleanrooms.CfnCollaboration.ModelInferencePaymentConfigProperty( is_responsible=False ), model_training=cleanrooms.CfnCollaboration.ModelTrainingPaymentConfigProperty( is_responsible=False ) )
Attributes
- model_inference
The payment responsibilities accepted by the member for model inference.
- model_training
The payment responsibilities accepted by the member for model training.
MemberSpecificationProperty
- class CfnCollaboration.MemberSpecificationProperty(*, account_id, display_name, member_abilities, ml_member_abilities=None, payment_configuration=None)
Bases:
object
Basic metadata used to construct a new member.
- Parameters:
account_id (
str
) – The identifier used to reference members of the collaboration. Currently only supports AWS account ID.display_name (
str
) – The member’s display name.member_abilities (
Sequence
[str
]) – The abilities granted to the collaboration member. Allowed Values :CAN_QUERY
|CAN_RECEIVE_RESULTS
ml_member_abilities (
Union
[IResolvable
,MLMemberAbilitiesProperty
,Dict
[str
,Any
],None
]) – The ML abilities granted to the collaboration member.payment_configuration (
Union
[IResolvable
,PaymentConfigurationProperty
,Dict
[str
,Any
],None
]) – The collaboration member’s payment responsibilities set by the collaboration creator. If the collaboration creator hasn’t specified anyone as the member paying for query compute costs, then the member who can query is the default payer.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_cleanrooms as cleanrooms member_specification_property = cleanrooms.CfnCollaboration.MemberSpecificationProperty( account_id="accountId", display_name="displayName", member_abilities=["memberAbilities"], # the properties below are optional ml_member_abilities=cleanrooms.CfnCollaboration.MLMemberAbilitiesProperty( custom_ml_member_abilities=["customMlMemberAbilities"] ), payment_configuration=cleanrooms.CfnCollaboration.PaymentConfigurationProperty( query_compute=cleanrooms.CfnCollaboration.QueryComputePaymentConfigProperty( is_responsible=False ), # the properties below are optional machine_learning=cleanrooms.CfnCollaboration.MLPaymentConfigProperty( model_inference=cleanrooms.CfnCollaboration.ModelInferencePaymentConfigProperty( is_responsible=False ), model_training=cleanrooms.CfnCollaboration.ModelTrainingPaymentConfigProperty( is_responsible=False ) ) ) )
Attributes
- account_id
The identifier used to reference members of the collaboration.
Currently only supports AWS account ID.
- display_name
The member’s display name.
- member_abilities
The abilities granted to the collaboration member.
Allowed Values :
CAN_QUERY
|CAN_RECEIVE_RESULTS
- ml_member_abilities
The ML abilities granted to the collaboration member.
- payment_configuration
The collaboration member’s payment responsibilities set by the collaboration creator.
If the collaboration creator hasn’t specified anyone as the member paying for query compute costs, then the member who can query is the default payer.
ModelInferencePaymentConfigProperty
- class CfnCollaboration.ModelInferencePaymentConfigProperty(*, is_responsible)
Bases:
object
An object representing the collaboration member’s model inference payment responsibilities set by the collaboration creator.
- Parameters:
is_responsible (
Union
[bool
,IResolvable
]) – Indicates whether the collaboration creator has configured the collaboration member to pay for model inference costs (TRUE
) or has not configured the collaboration member to pay for model inference costs (FALSE
). Exactly one member can be configured to pay for model inference costs. An error is returned if the collaboration creator sets aTRUE
value for more than one member in the collaboration. If the collaboration creator hasn’t specified anyone as the member paying for model inference costs, then the member who can query is the default payer. An error is returned if the collaboration creator sets aFALSE
value for the member who can query.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_cleanrooms as cleanrooms model_inference_payment_config_property = cleanrooms.CfnCollaboration.ModelInferencePaymentConfigProperty( is_responsible=False )
Attributes
- is_responsible
Indicates whether the collaboration creator has configured the collaboration member to pay for model inference costs (
TRUE
) or has not configured the collaboration member to pay for model inference costs (FALSE
).Exactly one member can be configured to pay for model inference costs. An error is returned if the collaboration creator sets a
TRUE
value for more than one member in the collaboration.If the collaboration creator hasn’t specified anyone as the member paying for model inference costs, then the member who can query is the default payer. An error is returned if the collaboration creator sets a
FALSE
value for the member who can query.
ModelTrainingPaymentConfigProperty
- class CfnCollaboration.ModelTrainingPaymentConfigProperty(*, is_responsible)
Bases:
object
An object representing the collaboration member’s model training payment responsibilities set by the collaboration creator.
- Parameters:
is_responsible (
Union
[bool
,IResolvable
]) – Indicates whether the collaboration creator has configured the collaboration member to pay for model training costs (TRUE
) or has not configured the collaboration member to pay for model training costs (FALSE
). Exactly one member can be configured to pay for model training costs. An error is returned if the collaboration creator sets aTRUE
value for more than one member in the collaboration. If the collaboration creator hasn’t specified anyone as the member paying for model training costs, then the member who can query is the default payer. An error is returned if the collaboration creator sets aFALSE
value for the member who can query.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_cleanrooms as cleanrooms model_training_payment_config_property = cleanrooms.CfnCollaboration.ModelTrainingPaymentConfigProperty( is_responsible=False )
Attributes
- is_responsible
Indicates whether the collaboration creator has configured the collaboration member to pay for model training costs (
TRUE
) or has not configured the collaboration member to pay for model training costs (FALSE
).Exactly one member can be configured to pay for model training costs. An error is returned if the collaboration creator sets a
TRUE
value for more than one member in the collaboration.If the collaboration creator hasn’t specified anyone as the member paying for model training costs, then the member who can query is the default payer. An error is returned if the collaboration creator sets a
FALSE
value for the member who can query.
PaymentConfigurationProperty
- class CfnCollaboration.PaymentConfigurationProperty(*, query_compute, machine_learning=None)
Bases:
object
An object representing the collaboration member’s payment responsibilities set by the collaboration creator.
- Parameters:
query_compute (
Union
[IResolvable
,QueryComputePaymentConfigProperty
,Dict
[str
,Any
]]) – The collaboration member’s payment responsibilities set by the collaboration creator for query compute costs.machine_learning (
Union
[IResolvable
,MLPaymentConfigProperty
,Dict
[str
,Any
],None
]) – An object representing the collaboration member’s machine learning payment responsibilities set by the collaboration creator.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_cleanrooms as cleanrooms payment_configuration_property = cleanrooms.CfnCollaboration.PaymentConfigurationProperty( query_compute=cleanrooms.CfnCollaboration.QueryComputePaymentConfigProperty( is_responsible=False ), # the properties below are optional machine_learning=cleanrooms.CfnCollaboration.MLPaymentConfigProperty( model_inference=cleanrooms.CfnCollaboration.ModelInferencePaymentConfigProperty( is_responsible=False ), model_training=cleanrooms.CfnCollaboration.ModelTrainingPaymentConfigProperty( is_responsible=False ) ) )
Attributes
- machine_learning
An object representing the collaboration member’s machine learning payment responsibilities set by the collaboration creator.
- query_compute
The collaboration member’s payment responsibilities set by the collaboration creator for query compute costs.
QueryComputePaymentConfigProperty
- class CfnCollaboration.QueryComputePaymentConfigProperty(*, is_responsible)
Bases:
object
An object representing the collaboration member’s payment responsibilities set by the collaboration creator for query compute costs.
- Parameters:
is_responsible (
Union
[bool
,IResolvable
]) – Indicates whether the collaboration creator has configured the collaboration member to pay for query compute costs (TRUE
) or has not configured the collaboration member to pay for query compute costs (FALSE
). Exactly one member can be configured to pay for query compute costs. An error is returned if the collaboration creator sets aTRUE
value for more than one member in the collaboration. If the collaboration creator hasn’t specified anyone as the member paying for query compute costs, then the member who can query is the default payer. An error is returned if the collaboration creator sets aFALSE
value for the member who can query.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_cleanrooms as cleanrooms query_compute_payment_config_property = cleanrooms.CfnCollaboration.QueryComputePaymentConfigProperty( is_responsible=False )
Attributes
- is_responsible
Indicates whether the collaboration creator has configured the collaboration member to pay for query compute costs (
TRUE
) or has not configured the collaboration member to pay for query compute costs (FALSE
).Exactly one member can be configured to pay for query compute costs. An error is returned if the collaboration creator sets a
TRUE
value for more than one member in the collaboration.If the collaboration creator hasn’t specified anyone as the member paying for query compute costs, then the member who can query is the default payer. An error is returned if the collaboration creator sets a
FALSE
value for the member who can query.