Suppose I have a dataset of
Say I perform an outlier detection algorithm such as One-class SVM (http://scikit-learn.org/stable/modules/generated/sklearn.svm.OneClassSVM.html) or IsolationForest (http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html) on the dataset.
Suppose that I have some domain knowledge, such as if
X1<10 the data point is really
abnormal, or if
X2==1 the value of
X4 is not important anymore etc.
How could I integrate these information to One-class SVM or IsolationForest?