diff --git a/Machine_Learning_for_Asset_Managers/ch6_feature_importance_analysis.py b/Machine_Learning_for_Asset_Managers/ch6_feature_importance_analysis.py index eea5d56..bbddaa6 100644 --- a/Machine_Learning_for_Asset_Managers/ch6_feature_importance_analysis.py +++ b/Machine_Learning_for_Asset_Managers/ch6_feature_importance_analysis.py @@ -10,7 +10,7 @@ import statsmodels.api as sm1 import matplotlib.pylab as plt -from ch4_optimal_clustering import clusterKMeansBase +from .ch4_optimal_clustering import clusterKMeansBase #Code snippet 6.1 generating a set of informative, redundant, and noisy explanatory variables # returns matrix X of training samples, and vector y of class labels for the training samples