machine-learningscikit-learnneural-networklinear-regressiontraining-data

Found input variables with inconsistent numbers of samples: [3, 1509]

I'm trying to pass y_train and u_train data to sklearn's LinearRegression.fit() function as follows:

LinearRegression.fit(u_train, y_train)

Both u_train and y_train have sizes of (503,3) (see below)

enter image description here

I don't understand why I am getting a dimension mismatch error since u_train and y_train are the same size. I get the error "Found input variables with inconsistent numbers of samples: [3, 1509]." Any help is greatly appreciated.

Solution

  • It might be that you're invoking the class rather than an instance. Usage should be like:

    from sklearn.linear_model import LinearRegression

#Make new instance
linear_reg = LinearRegression()
#Fit
linear_reg.fit(u_train, y_train)

#One-liner alternative
linear_reg = LinearRegression().fit(u_train, y_train)