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Imputation of missing values in tables.

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--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) in 19 return imputed 20 ---> 21 actor1_pred = predict_missing_values(original_data, "Actor1") 22 actor1_pred in predict_missing_values(df, col) 16 17 #Impute missing values and return...

*Issue #, if available:* Major dependencies were outdated, such as pandas, sklearn, mxnet, as highlighted in issue #150. *Description of changes:* I changed mxnet version in requirements.txt and local tests...

I tried to install Datawig as follows: **pip3 install Datawig** I notice that it tries to use numpy-1.14.6 . My numpy version is 1.19.2 which is newer. Then it tries...

*Description of changes:* Import ABC from `collections.abc` for Python 3.10 compatibility. Importing from `collections` was deprecated and removed.

Dear Sir, May I know how to run the tool on GPU? I have installed the GPU version of Datawig. I always get an error. Thank you. RuntimeError: simple_bind error....

Dear Sir or Madam, May I know if the package can be used for survival data with survival time and event? Thank you!

``` df_with_missing = prepare_training_data().iloc[:, : 12] print("Null value in every column\n", df_with_missing.isnull().sum(axis=0)) # impute missing values df_with_missing_imputed = datawig.SimpleImputer.complete(df_with_missing, precision_threshold=0.8) print("Null value in every column\n", df_with_missing_imputed.isnull().sum(axis=0)) ``` ### mainly two...

When using Categorical columns, `imputer.fit(train_df=df_train)` raises error `ValueError: Cannot setitem on a Categorical with a new category, set the categories first` _validate_setitem_value, categorical.py:2044 stack is : ``` ***pandas files ***...

Enable to use newer versions of mxnet, for example mxnet==1.6.0. *Issue #, if available:* *Description of changes:* By submitting this pull request, I confirm that my contribution is made under...