I got an error while running lasso regression method

Question

raise NotFittedError(msg % {'name': type(estimator).name}) sklearn.exceptions.NotFittedError: This Lasso instance is not fitted yet. Call 'fit' with appropriate arguments before using this estimator.


from sklearn import datasets
from sklearn.linear_model import Lasso
from sklearn.model_selection import train_test_split
#
# Load the Boston Data Set
#
bh = datasets.load_boston()
X = bh.data
y = bh.target
#
# Create training and test split
#
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)
#
# Create an instance of Lasso Regression implementation
#
lasso = Lasso(alpha=1.0)
#
# Fit the Lasso model
#
lasso.fit(X_test, y_test)
#
# Create the model score
#
#lasso.score(X_test, y_test), lasso.score(X_train, y_train)
lasso_reg = Lasso(normalize=True)
y_pred_lass =lasso_reg.predict(X_test)
print(y_pred_lass)

You create a new `Lasso` object *after* running `lasso.fit`, thus the old lasso objecct, and its fit result, will have been lost. — 9769953, Oct 25 '21 at 10:06
The old lasso object isn't actually lost, its just stored in a different variable. — pseudoabdul, Oct 25 '21 at 10:08

score 1 · Accepted Answer · edited Mar 15 '22 at 16:23

You've actually created two lasso models. One called lasso which you fit. But after that you create another one lasso_reg = Lasso(normalize=True) which you try to call predict on but that model hasn't been fitted yet. Try this:

from sklearn import datasets
from sklearn.linear_model import Lasso
from sklearn.model_selection import train_test_split

bh = datasets.load_boston()
X = bh.data
y = bh.target

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)

lasso = Lasso(alpha=1.0, normalize=True)

lasso.fit(X_test, y_test)

y_pred_lass =lasso.predict(X_test)
print(y_pred_lass)

score 0 · Answer 2 · answered Oct 25 '21 at 10:07

0

As the error says you have to call lasso_reg.fit(X_test, y_test) before calling lasso_reg.predict(X_test) This will fix the issue.

lasso_reg = Lasso(normalize=True)
lasso_reg.fit(X_test, y_test)
y_pred_lass =lasso_reg.predict(X_test)
print(y_pred_lass)

answered Oct 25 '21 at 10:07

Kaushal Sharma

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I got an error while running lasso regression method

2 Answers2