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Linear regression equation is one of statistical analysis methods that uses regression analysis in mathematical statistics to determine the quantitative relationship between two or more variables.

 

How-To-Use:

The input of this node is model sample data [independent variable] and sample label [dependent variable].

 

Precautions:

[Dependent variable] Only one column of data can be selected.

 

❖Configuration

After adding  Linear regression node to the experiment, you can set the Linear regression node through the "Configuration" page on the right.

[Proportion of training set] Usually, the proportion of the training set in the entire data set is 0.8, and the rest is used as the verification set.

[Independent variable] There can be multiple characteristic fields of the model.

[Dependent variable] The target field of the model can only be one.

 

Right-click menu of linear regression:

❖Run Linear Regression Node

Run the node, pass the data to DM-Engine for calculation, and get the output result.

 

❖Reset Linear Regression Node

The node that has been running is reset, the returned result is deleted, and the node status is changed to not running.

 

❖Rename Linear Regression Node

In the right-click menu of the Linear Regression node, select "Rename" to rename the node.

 

❖Refresh Linear Regression Node

In the right-click menu of the Linear Regression node, select "Refresh" to update the synchronization data or parameter information.

 

❖Save as Composite Node

In the right-click menu of the Linear Regression node, select "Save as Composite Node",The selected node can be saved as a composite node to realize a multiplexing node, and the parameters of the saved node are consistent with the original node.

 

❖Cut Linear Regression Node

In the right-click menu of the Linear Regression node, select "Cut" to realize node cutting operation.

 

❖Copy Linear Regression Node

In the right-click menu of the Linear Regression node, select "Copy" to realize node  replication operation.

 

❖Delete Linear Regression Node

In the right-click menu of a Linear Regression node, select "Delete" or click the delete key on the keyboard to delete the node and its input and output connections.