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On scikit learn, I run through this issue:
       if not (0 < max_samples <= X.shape[0]):
--> 306             raise ValueError("max_samples must be in (0, n_samples]")
    308         # Store validated integer row sampling value

ValueError: max_samples must be in (0, n_samples]

However my X.shape[0] is >= max_samples.

bgclassifier = BaggingClassifier(base_estimator=pipeline, n_estimators=100,
                                 random_state=1, n_jobs=5)

What I have tried:

I have tried to lookup a solution on stackoverflow but the most similar issue is for max_features.
I changed my max_samples from 10 to 5 to make it equal to X.shape[0].
Updated 26-Aug-21 21:19pm
Richard MacCutchan 27-Aug-21 3:37am    
The message is telling you that the value of max_samples is not in the range of the two values you provided.

1 solution

YOu can't say
if a < b < c
Python doesn't understand that and tries to compare the result of a < b with c and gets the wrong result.
if a < b and b < c
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Richard MacCutchan 27-Aug-21 3:36am    
That is a valid expression in Python; section 6.10 at 6. Expressions — Python 3.9.6 documentation[^].

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