The following properties are for the model nuggets created using the Microsoft
database modeling nodes.
MS Decision Tree
Table 1. MS Decision Tree properties
applymstreenode Properties |
Values |
Description |
analysis_database_name
|
string
|
This node can be scored directly in a stream.
This property is used to identify the
name of the Analysis Services database. |
analysis_server_name
|
string
|
Name of the Analysis server host. |
datasource
|
string
|
Name of the SQL Server ODBC data source name (DSN). |
sql_generate
|
flag
udf |
Enables SQL generation. |
MS Linear Regression
Table 2. MS Linear Regression properties
applymsregressionnode Properties |
Values |
Description |
analysis_database_name
|
string
|
This node can be scored directly in a stream.
This property is used to identify the
name of the Analysis Services database. |
analysis_server_name
|
string
|
Name of the Analysis server host. |
MS Neural Network
Table 3. MS Neural Network properties
applymsneuralnetworknode Properties |
Values |
Description |
analysis_database_name
|
string
|
This node can be scored directly in a stream.
This property is used to identify the
name of the Analysis Services database. |
analysis_server_name
|
string
|
Name of the Analysis server host. |
MS Logistic Regression
Table 4. MS Logistic Regression properties
applymslogisticnode Properties |
Values |
Description |
analysis_database_name
|
string
|
This node can be scored directly in a stream.
This property is used to identify the
name of the Analysis Services database. |
analysis_server_name
|
string
|
Name of the Analysis server host. |
MS Time Series
Table 5. MS Time Series properties
applymstimeseriesnode Properties |
Values |
Description |
analysis_database_name
|
string
|
This node can be scored directly in a stream.
This property is used to identify the
name of the Analysis Services database. |
analysis_server_name
|
string
|
Name of the Analysis server host. |
start_from
|
new_prediction
historical_
prediction
|
Specifies whether to make future predictions or historical predictions. |
new_step
|
number
|
Defines starting time period for future predictions. |
historical_step
|
number
|
Defines starting time period for historical predictions. |
end_step
|
number
|
Defines ending time period for predictions. |
MS Sequence Clustering
Table 6. MS Sequence Clustering properties
applymssequenceclusternode Properties |
Values |
Description |
analysis_database_name
|
string
|
This node can be scored directly in a stream.
This property is used to identify the
name of the Analysis Services database. |
analysis_server_name
|
string
|
Name of the Analysis server host. |