How to use OneHotEncoded data into Isolation Forest?












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I have two columns in my dataframe and both are categorical. One of these columns contains misspellings and I want to do outlier detection in it and trying to use Isolation Forest.



I have applied OneHotEncoding on both columns but I don't know how to use this numpy array into Isolation Forest. I would appreciate some help. Here's my code for OneHotEncoding



newDF=pd.DataFrame()
labelEncoder = LabelEncoder()
newDF = df.apply(labelEncoder.fit_transform)

enc = OneHotEncoder()
enc.fit(newDF)

onehotlabels = enc.transform(newDF).toarray()
print(onehotlabels)









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    0















    I have two columns in my dataframe and both are categorical. One of these columns contains misspellings and I want to do outlier detection in it and trying to use Isolation Forest.



    I have applied OneHotEncoding on both columns but I don't know how to use this numpy array into Isolation Forest. I would appreciate some help. Here's my code for OneHotEncoding



    newDF=pd.DataFrame()
    labelEncoder = LabelEncoder()
    newDF = df.apply(labelEncoder.fit_transform)

    enc = OneHotEncoder()
    enc.fit(newDF)

    onehotlabels = enc.transform(newDF).toarray()
    print(onehotlabels)









    share|improve this question

























      0












      0








      0








      I have two columns in my dataframe and both are categorical. One of these columns contains misspellings and I want to do outlier detection in it and trying to use Isolation Forest.



      I have applied OneHotEncoding on both columns but I don't know how to use this numpy array into Isolation Forest. I would appreciate some help. Here's my code for OneHotEncoding



      newDF=pd.DataFrame()
      labelEncoder = LabelEncoder()
      newDF = df.apply(labelEncoder.fit_transform)

      enc = OneHotEncoder()
      enc.fit(newDF)

      onehotlabels = enc.transform(newDF).toarray()
      print(onehotlabels)









      share|improve this question














      I have two columns in my dataframe and both are categorical. One of these columns contains misspellings and I want to do outlier detection in it and trying to use Isolation Forest.



      I have applied OneHotEncoding on both columns but I don't know how to use this numpy array into Isolation Forest. I would appreciate some help. Here's my code for OneHotEncoding



      newDF=pd.DataFrame()
      labelEncoder = LabelEncoder()
      newDF = df.apply(labelEncoder.fit_transform)

      enc = OneHotEncoder()
      enc.fit(newDF)

      onehotlabels = enc.transform(newDF).toarray()
      print(onehotlabels)






      python one-hot-encoding






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 28 '18 at 13:27









      user8907896user8907896

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