These are my go-to libraries for Python data crunching.

. ├── src/ │ ├── train.py # Train Linear Regression model │ ├── quantize.py # Quantize model coefficients │ ├── predict.py # Make predictions │ └── utils.py # Shared functions ├── tests/ │ └── ...

Abstract: It has been observed that the performances of many high-dimensional estimation problems are universal with respect to underlying sensing (or design) matrices. Specifically, matrices with ...

matrix_tmp[,1] <- (data %>% filter(is_aggregated(Group), is_aggregated(Subgroup)))[[variable]] matrix_tmp[,2] <- (data %>% filter(Group == "A", is_aggregated(Subgroup ...

ABSTRACT: Adaptive fractional polynomial modeling of general correlated outcomes is formulated to address nonlinearity in means, variances/dispersions, and correlations. Means and ...