Specifies the value used to determine when convergence is reached and the algorithm is finished building the model. Convergence is reached when the overall change in cluster probabilities is less than the ratio of the STOPPING_TOLERANCE divided by the size of the model.
Specifies the the monotonically increasing version number of the database object. Returns 0 if the database type does not ...
Specifies the time lag between two consecutive historic models. For example, setting this value to g results in historic ...
Specifies the type of information the measure group contains. In some cases, this enables specific treatment by the server ...
Specifies the upper constraint for any time series prediction. Predicted values will never be greater than this constraint. ...
Specifies the value used to determine when convergence is reached and the algorithm is finished building the model. Convergence ...
Specify an isolation level that defines the degree that one data source will be isolated from other data sources. Privacy ...
Specify an isolation level that defines the degree that one data source will be isolated from other data sources. Privacy ...
Specify DAX expressions that return Boolean values. Only rows that match the specified filters are visible to users in this ...
Specify the columns, measures, and field ordering that define the default field set when visualizing this table in certain ...