Description Usage Arguments Examples
step4 - Finding optimal results using optimal conditions
1 | step4(x_train, x_test, y1, y2, y3)
|
x_train |
: trainset |
x_test |
: newX(optimail conditon) |
y1 |
: y expression of training data( y~. ) |
y2 |
: y expression of newX( y~. ) |
y3 |
: y value of NewX( y ) |
1 2 3 4 5 | optimal results
step4(pss2.2 , pss2.3 , pss2.2$Firing_range~. , pss2.3$Firing_range~. ,pss2.3$Firing_range)
If there is no test set, put the training set in the test set field
Enter the news example name and value in data.frame parentheses
newx=data.frame(Firing_range=128, Number_of_ropes=3,Torsion_powered=49, catapult_weight=46, Catapult_armlength=38, Stopper_angle=48)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.