I am new to machine learning techniques. I was going through few supervised machine learning model examples and i have doubt in predicting future values.
To train and predict the models, we divide the dataset into train set, validation set and test set to check if the model is efficient or not. I have two independent variable and one target variable. I am using linear regression,Keras LSTM and other models.
My basic question is how do i predict for future values (for next one week, one month) when i don't have independent variables for next week? what am i supposed to give as predictors in that case?
Any information is much appreciated.