I am trying to generate a dataset which involves 1 feature variable(
X) and 1 target variable(
The feature variable represents values on the X-axis on the graph and target variable represents values on Y-axis.
y: floating point
N such graphs for same values of
X, but a slight variation in
One of the graph is as follows:
I want to fit the data into a regression.
Now, my question is how to generate the dataset for this use case. Should I include values from all graphs into a single dataset? But, in this case, for every unique value of
X, I will have
N rows with same value of
X and a different value of
I am doubtful about this approach.
Any help is greatly appreciated!