# Model prediction on meshgrid in python

Suppose I have data with two independent variable $$X_1$$, $$X_2$$ and one dependent variable say $$y$$, as follows:

$$X_1$$: $$x_{1,1}$$, $$x_{1,2}$$ , $$x_{1,3}$$

$$X_2$$: $$x_{2,1}$$, $$x_{2,2}$$, $$x_{2,3}$$

$$y$$: $$y_1$$, $$y_2$$, $$y_3$$

I built some Machine learning model which is good .

Now I want to generate predictions not just for test data but for all possible combinations of test data for example, if our test data looks like

$$X_1$$: $$a$$, $$b$$, $$c$$

$$X_2$$: $$p$$, $$q$$, $$r$$

then I want predictions for pairs $$(a,p)(a,q)$$,$$(a,r)$$,$$(b,p)$$,$$(b,q)$$....etc

I have tried np.ravel, Meshgrid kind of commands but find it difficult.

• Please be clear in which way the $y$ interacts with the $X$s, so we can help you further – Juan Esteban de la Calle Apr 27 at 15:08
• I ran ANN Regression ..There is no explicit equation – Milan Amrut Joshi Apr 27 at 15:16