Specifies a numerical value between 0 and 1 used to detect periodicity. Setting this value closer to 1 favors discovery of ...

Specifies a numerical value between 0 and 1 used to detect periodicity. Setting this value closer to 1 favors discovery of many near-periodic patterns and automatic generation of periodicity hints. Dealing with a large number of periodicity hints will likely lead to significantly longer model training times. If the value is closer to 0, periodicity is detected only for strongly periodic data.

Specifies a Multidimensional Expressions (MDX) expression that returns the trend of the key performance indicator (KPI) over ... Specifies a Multidimensional Expressions (MDX) expression that returns the weight of the key performance indicator (KPI). ... Specifies a number to use to seed the pseudo-random generator when randomly determining the holdout data for this algorithm. ... Specifies a number used in determining the number of nodes in the hidden layer. The algorithm calculates the number of nodes ... Specifies a numerical value between 0 and 1 used to detect periodicity. Setting this value closer to 1 favors discovery of ... Specifies a value between 0 and 1 that controls the blend of ARTXP and ARIMA time series algorithms. The specified value ... Specifies an existing relationship to be used in the evaluation of a DAX expression. The relationship is defined by naming, ... Specifies an existing relationship to be used in the evaluation of a DAX expression. The relationship is defined by naming, ... Specifies cross filtering direction to be used in the evaluation of a DAX expression. The relationship is defined by naming, ...