'NearMiss' object has no attribute '_validate_data'

Question

This is the code below which shows the error.

from imblearn.under_sampling import NearMiss
nm = NearMiss()
X_res,y_res=nm.fit_sample(X,Y)

that code fails with `X is not defined`. is there a small **self contained** runnable example you could share? — Tadhg McDonald-Jensen, Jul 08 '20 at 17:49
the issue though does seem odd, code inside the library is calling an internal method that just doesn't exist? seems like a library issue most likely, could you provide the version of imblearn? (look for `imblearn.version` if it exists or maybe `imblearn.__version__`) — Tadhg McDonald-Jensen, Jul 08 '20 at 17:52

score 1 · Accepted Answer · answered May 13 '21 at 12:58

1

You are probably trying to under sample your imbalanced dataset. For this purpose, you can use RandomUnderSampler instead of NearMiss.

Try the following code:

from imblearn.under_sampling import RandomUnderSampler  

under_sampler = RandomUnderSampler()
X_res, y_res = under_sampler.fit_resample(X, y)

Now, your dataset is balanced. You can verify it using y_res.value_counts().

Cheers!

answered May 13 '21 at 12:58

Harsh Dhamecha

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Is there a specific reason why it's better to use `RandomUnderSampler` instead `NearMiss` ? – Kiwi Feb 15 '22 at 10:13

score 0 · Answer 2 · answered Jul 08 '20 at 18:22

0

Instead of "imblearn" package my conda installed a package named "imbalanced-learn" that's why it does not take the data. But it is strange that the jupyter notebook doesn't tell me that "imblearn" isn't installed.

answered Jul 08 '20 at 18:22

Yashraj Jain

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'NearMiss' object has no attribute '_validate_data'

2 Answers2