Auto detect sensitivity for minimum support. Setting this value to 1.0 causes the algorithm to autodetect the smallest appropriate value of minimum support. Setting this value to 0 turns off auto detect and the algorithm operates on the actual value of minimum support. This parameter is used only when MINIMUM_SUPPORT is set to 0.0.
Authentication failed: Authority is not found for ClaimsToken integrated security (either valid Identity Provider or valid ...
Authentication failed: Impersonation Level set to 'Anonymous' implies that Certificate would not be provided in the connection ...
Authentication tags are only generated during encryption operations, and cannot be retrieved from a decryption transform. ...
AuthenticationKind, ConnectionDetails or Credential properties cannot be specified for datasource '%{Datasource/}' that has ...
Auto detect sensitivity for minimum support. Setting this value to 1.0 causes the algorithm to autodetect the smallest appropriate ...
Automatic feature selection has been applied to model, '%{modelname/}' due to the large number of attributes. Set MAXIMUM_INPUT_ATTRIBUTES ...
Avoid creating linked dimensions to a source that contains UnaryOperatorColumns, CustomRollupColumns, or CustomRollupPropertiesColumns ...
Avoid defining many-to-many relationships when either the intermediate measure group or any of the intermediate dimensions ...
Avoid redundant attribute relationships because these relationships may prevent data from being aggregated when the granularity ...