attributeerror: 'str' object has no attribute 'decode'. python by Marton on Mar 06 2021 Donate Comment. 2. # You are trying to decode an object that is already decoded # You have a str, there is no need to decode from UTF-8 anymore # Simply drop the part .decode ('utf-8') xxxxxxxxxx.
BayeSearchCV AttributeError: 'str' object has no attribute 'decode' when n_iter is set to a a high number #1051 Closed luisffranca mentioned this issue Oct 14, 2021
12.01.2021 · I tried to upgrade my scikit-learn using the below command, still, that didn't solve the AttributeError: 'str' object has no attribute 'decode' issue. pip install scikit-learn -U Finally, below code snippet solved the issue, add the solver as liblinear. model = LogisticRegression(solver='liblinear')
07.11.2021 · I tried to upgrade my scikit-learn using the below command, still, that didn’t solve the AttributeError: 'str' object has no attribute 'decode' issue. pip install scikit-learn -U Finally, below code snippet solved the issue, add the solver as liblinear. model = LogisticRegression(solver='liblinear')
17.02.2021 · AttributeError: 'str' object has no attribute 'decode' in fitting Logistic Regression Model (3 answers) Closed 10 months ago . I am trying to build a logistic regression model but it shows an AttributeError: 'str' object has no attribute 'decode' . please help me fix this.
AttributeError: 'str' object has no attribute 'decode'. from sklearn.linear_model import LogisticRegression logmodel = LogisticRegression () logmodel.fit (X_train, y_train) I was having the same problem with GaussianProcessRegressor, which does not have 'solver' as built-in.
How to sort attribute error while performing: from sklearn.linear_model import LogisticRegression logmodel = LogisticRegression() logmodel.fit(X_train, ...