smote_variants

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Question

2

results= sv.evaluate_oversamplers(datasets= datasets, samplers= sv.get_n_quickest_oversamplers(10), classifiers= [knn_classifier, dt_classifier], cache_path= cache_path, n_jobs= 1, max_samp_par_comb= 35) output: File "C:\Users\Administrator\AppData\Roaming\Python\Python39\site-packages\smote_variants\_evaluation.py", line 988, in evaluate_oversamplers sampling_objs = _cache_samplings(folding, File "C:\Users\Administrator\AppData\Roaming\Python\Python39\site-packages\smote_variants\_evaluation.py", line 761, in _cache_samplings...

robot520

Why I get this error when I use smote_variants?

9

This is my code: ``` vectorCount = CountVectorizer(tokenizer=tokenize) X_trainCount = vectorCount.fit_transform(X_train) tf_transformer = TfidfTransformer(use_idf=False) tf_transformer.fit(X_trainCount) X_trainTF = tf_transformer.transform(X_trainCount) oversampler= sv.MulticlassOversampling(sv.distance_SMOTE()) X_res, y_res = oversampler.sample(X_trainTF,y_train) ``` and I get this error:...

ppleumyy

Hello, I am trying to vary the proportion parameter in the MulticlassOversampling class: #### I tried passing passing through the declaration of an instance of the class, but when executing...

jnatmed

Integration with imbalanced-learn

10

@gykovacs I was wondering if you would be interested in an integration of some of the algorithm in `imbalanced-learn`. It would be really nice to have more variant in `imbalanced-learn`...

glemaitre

Hello, When i am trying to use smote on text data then it gives me an error **provided out is the wrong size for the reduction**. Could you please help...

bharath8847

How to supress INFO verbose in smote_variants

4

How to supress INFO verbose in smote_variants?? I am using smote_variants in Jupyter notebook/lab environment and it shows lots of verbage ``` 2020-07-08 16:28:12,711:INFO:SMOTE_ENN: Running sampling via ('SMOTE_ENN', "{'proportion': 1.0,...

ashleyabraham

when use SOMO,Why did the two types of samples not reach a balance and the number did not change

2

leaphan

How do I use this package with image data?

5

I want to use this kind package with image data, how do I take input? Would converting it into a numpy array and feeding it work? I am also having...

apatra9

Minimum number of rows in a class

1

I've been using the ADOMS implementation in this package to balance classes for a while with great results. The other day a colleague asked me what the minimum number of...

RyanMetz

DEAGO : negative values for categorical features inside the data

3

hello, I am working with a dataset which contains both categorical & continuous features. On implementing DEAGO, it output -ve values for categorical features after sampling ?? Could someone let...

eponraj27392