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Hello,
I was trying to deal with missing/new values with Imputer(). I was able to handle numerical encodings by imputation using Imputer() and LabelEncoder() chained together in a sklearn2pmml datafr…
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```
from fancyimpute import MICE
X_filled_mice = MICE().complete(X_incomplete)
```
```
[MICE] Completing matrix with shape (902, 368)
[MICE] Starting imputation round 1/110, elapsed time 0.009
…
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according to the knn code there is a parameter "normalizer". And says it could be object like Biscale. But when I do this:
`data_clean = KNN(k=5, normalizer=BiScaler).complete(data) `
the error be…
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This weekend some test images that were produced in preparation for Run 2.0i revealed some problems - see y-band image below:
![v12365_r22_s10_y_knots1_gal2](https://user-images.githubusercontent.c…
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The distribution of income quintiles in the PUF appears incorrect.
Using the Tax-Calculator, I found the following values for median tax unit income. The numbers in parentheses are the nominal med…
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According to the `genomic_convereter()` documentation, the default method for imputation is "rf", while in fact it is `NULL`. It caused me some confusion trying to understand where the imputed results…
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Hi, I'm really excited about using assigner, but I keep getting an error when trying to run it. It seems to create 'fst.ranked_*.tsv' and 'assignment_data_iteration_*_markers_10_no_imputation.txt" fil…
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From Arisha A Ashraf via email:
I tried using the following for quantile regression on my imputed datasets, but this doesn’t recognize the combined imputed data file from Amelia.
```r
z.out.qua…
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I tried the following:
```
from fancyimpute import MICE
imputer = MICE()
imputed = imputer.complete(dummied)
```
The code crashed with the following stack trace:
```
imputed = imputer.complete(dumm…
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The fact that tax-calculator relies on semi-proprietary data for many use-cases, namely the IRS public use file, gives us a wonderful opportunity to explore and implement solutions to the following qu…