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Trying to import Imputer from sklearn,
import pandas as pd dataset = pd.read_csv('Data.csv') X = dataset.iloc[:, :-1].values y = dataset.iloc[:, 3].values #PART WHERE ERROR OCCURS:- from sklearn.preprocessing import Imputer Shows "ImportError: cannot import name 'Imputer' from 'sklearn.preprocessing' (/home/codeknight13/anaconda3/lib/python3.7/site-packages/sklearn/preprocessing/__init__.py)"
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The imputation strategy. If “mean”, then replace missing values using the mean along the axis. If “median”, then replace missing values using the median along the axis. If “most_frequent”, then replace missing using the most frequent value along the axis.
You use an Imputer to handle missing data in your dataset. Imputer gives you easy methods to replace NaNs and blanks with something like the mean of the column or even median. But before it can replace these values, it has to calculate the value that will be used to replace blanks.
from sklearn.preprocessing import Imputer was deprecated with scikit-learn v0.20.4 and removed as of v0.22.2.
from sklearn.impute import SimpleImputer imputer = SimpleImputer(missing_values=np.nan, strategy='mean') If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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