Comments (1)
Great idea! That's how HCRTools works. For both packages, thought is to focus on SQL Server and Oracle since those seem to dominate in healthcare. We appreciate your contributions! Feel free to tackle this if you're interested. :)
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Related Issues (20)
- Regression metric predicting the mean
- When instantiating trainer guess which label is positive class for binary classifications HOT 1
- Pass all params through to sklearn
- Method for changing a Y/N column to 1/0 should be made generic
- Trained random forest models should have a .plot_feature_importances() method
- Random forest feature importance plot should be rotated so labels are readable
- random forest feature importance plot should have fixed height bars and scale the plot as n increases
- Models trained with no grain column fail on making predictions HOT 2
- Turn off top factors HOT 2
- Allow custom Scikit params to be passed through in the advanced class HOT 3
- Error in verification HOT 1
- Utilities :: Stratified Sampling HOT 1
- Utilities :: Validation Prediction Distribution Plots
- resolve merge conflict with 449/467
- Prediction fails if no grain column existed on training HOT 1
- confusion matrix plot should accept an optional cutoff argument HOT 1
- module 'pandas.core.common' has no attribute 'is_categorical_dtype' error HOT 4
- Imputation of missing values using ML models. HOT 3
- Methods to implement dimension reduction techniques.
- Error after installing healthcareai on ubuntu (Pyhton 3.8)
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