Levi Thatcher

Add mixed effects models

1

Make similar to linear/rf models already there. Use the statsmodels package. http://statsmodels.sourceforge.net/devel/mixed_linear.html

If one chooses regression and pred col is binary, throw error

2

This is the current unhelpful message: ValueError: Unable to parse string "N" at position 0 Set error (with helpful message) when classification is chosen and pred col is numeric

Create function to remove columns that are only NaN

4

Please make sure this works for cols that are 1) NA only and 2) NaN only - [ ] implement - [ ] unit tests Can use this to test:...

Create date-time feature engineering function

1

Use the HCRTools example in common.R as an example. - [ ] implement feature engineering - [ ] test coverage

Add favicon to py readthedocs

1

@levithatcher commented on [Fri Feb 24 2017](https://github.com/HealthCatalyst/healthcareai-r/issues/288) Look at the r repo for an example

Having issue with first step. Also, add instructions on how to update sklearn after activating virt env

Using http://contrib.scikit-learn.org/lightning/ We probably are fine without CV, as lasso prevents over-fitting. Can start with this code that includes CV and non-CV implementations using lightning's CDClassifier. ``` python from hcpytools.impute_custom...

Based on PCA, we want to be able to convert text (using tm package) to a varying number of numeric columns. Have an argument letting user specify which is the...

hcai_impute param names

1

This awesome function takes `nominal` or `numeric` params. Ordinal type cols fall between `nominal` and `numeric` and it isn't clear to the user which to use (since behavior changes from...