SKLearn warning "valid feature names" in version 1.0
I'm getting the following warning after upgrading to version 1.0 of scikit-learn: UserWarning: X does not have valid feature names, but IsolationForest was fitted with feature name I cannot find in the docs on what is a "valid feature name". How do I deal with this warning?
I got the same warning message with another sklearn model. I realized that it was showing up because I fitted the model with a data in a dataframe, and then used only the values to predict. From the moment I fixed that, the warning disappeared. Here is an example: model_reg.fit(scaled_x_train, y_train[vp].values) data_pred = model_reg.predict(scaled_x_test.values) This first code had the warning, because scaled_x_train is a DataFrame with feature names, while scaled_x_test.values is only values, without feature names. Then, I changed to this: model_reg.fit(scaled_x_train.values, y_train[vp].values) data_pred = model_reg.predict(scaled_x_test.values) And now there are no more warnings on my code.
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