Hi,
Please i'd like to use prediction techniques in sklearn
I have this file:
x | y
1| 1
2| 4
4|16
--> prediction techniques must give me this model y=x*x
using this model i can predict the value y of x=3
This is a sample example. In my experiment i use a file with 1000 lines.
Please, how can transform these lines on codes ?
from sklearn.preprocessing import PolynomialFeatures
from sklearn import linear_model
X = [[1, 2, 4], [1, 4, 16]]
poly = PolynomialFeatures(degree=2)
X_ = poly.fit_transform(X)
Thank you so much for help.
Kind regards.
Neo
2
Sorry, I don't fully understand your question.
This is a Python programming question?
Yes, using sklearn library (like tensorflow).
Neo
4
I've not had a change to user tensorflow on a project yet.
Did you look at code samples from project on GIT, like this one:
GitHub - karthikmswamy/TFTutorials: Contains code for understanding TensorFlow workflow and basics