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I trained a model with parameters : model_names model_names=['GradientBoostingRegressor','RandomForestRegressor'] Then Error occured in
#predictor.py : line 42 if m.im_self is None: AttributeError: 'function' object has no attribute 'im_self'
The text was updated successfully, but these errors were encountered:
I run this code
import os os.environ['is_test_suite']="True" from auto_ml import Predictor from auto_ml.utils import get_boston_dataset from auto_ml.utils_models import load_ml_model # Load data df_train, df_test = get_boston_dataset() # Tell auto_ml which column is 'output' # Also note columns that aren't purely numerical # Examples include ['nlp', 'date', 'categorical', 'ignore'] # column_descriptions = { 'CHAS': 'output' } ml_predictor = Predictor(type_of_estimator='regressor', column_descriptions=column_descriptions) ml_predictor.train(df_train,model_names=['GradientBoostingRegressor','RandomForestRegressor'])
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I trained a model with parameters : model_names model_names=['GradientBoostingRegressor','RandomForestRegressor']
Then Error occured in
The text was updated successfully, but these errors were encountered: