Man pages for AlexandreRives/RegLog-EDA
Logistic Regression
| add_constant | Add constant function |
| AIC_function | AIC |
| batch_gradient_descent | Batch gradient descent |
| breast | Breast cancer |
| df_mini_batch | Mini batch |
| dummies | Re-coding variables |
| dummies_y | Re-coding target variable |
| f_Formula | Formula function |
| filtered_x | Filter feature variables |
| filtered_y | Filter target variable |
| fit_reg_log | ————-# |
| gradient_mini_batch | Mini_batch gradient descent |
| logLikelihood_function | logLikelihood |
| log_loss_function | Log Loss function |
| ncores | Get the cores of the CPU |
| normalize | Normalize |
| online_stochastic_gradient_descent | Online stochastic gradient descent |
| predict_reg_log | Predict function |
| print.reg_log | Print function |
| print.reg_log_parallel | Print function for parallel batch mode |
| residuals_summary_function | Residuals summary |
| sampled_df | Sample a dataset |
| sigmoid | Sigmoid function |
| summary.reg_log | Summary function |
