support vector regression time series forecasting - python
given multi-variable regression, y = 
Regression is a multi-dimensional separation which can be hard to visualize in ones head since it is not 3D.
The better question might be, which  are consequential to the output value `y'.
Since you have the code to the loadavg in the kernel source, you can use the input parameters.
I have a dataset of peak load for a year. Its a simple two column dataset with the date and load(kWh). 
I want to train it on the first 9 months and then let it predict the next three months .  I can't get my head around how to implement SVR. I understand my 'y' would be predicted value in kWh but what about my X values?
Can anyone help?