How to use OneHotEncoded data into Isolation Forest?












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)





python one-hot-encoding







share|improve this question



























    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)





    python one-hot-encoding







    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)





      python one-hot-encoding







      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




      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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