CODEWITHSUNDEEP
pythonarraysnumpyscikit-learnlinear-regression
toy
toy

Reputation: 12141

How to fit SGDRegressor with two numpy arrays?

I'm trying to learn SGDRegressor. I generate my own data but I don't know how to fit that into the algorithm. I get this error.

x = np.random.randint(100, size=1000)
y = x * 0.10
clf = linear_model.SGDRegressor()
clf.fit(x, y, coef_init=0, intercept_init=0)

Found arrays with inconsistent numbers of samples: [ 1 1000]

I'm new to python and Machine Learning. What do I miss?

Upvotes: 0

Views: 112

Answers (1)

o-90
o-90

Reputation: 17593

>>> np.random.randint(100, size=1000)

will give you a 1 x 1000 array. Your features and target variables need to be in a column. Try

>>> x = x.reshape(1000,)

Upvotes: 1

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