| EM | EM algorithm |
| EM_step | One step of EM algorithm |
| extract_score | Find the predicted Bradley-Terry score of a player |
| feature_matrix_test | Test feature matrix |
| feature_matrix_train | Training feature matrix |
| feature_surface | Matrix of surface features |
| head_to_head | Head to head performance |
| load_data | Load data |
| log_reg | Logistic regression |
| log_reg_naive | Likelihood function |
| match_based_form_total | Historical performance of player |
| player_data_frame | Construct player data frame |
| plot_comparisons | Plots graph of matrix |
| predict_winner | Predict the winner of a series of matches |
| reduce_to_connected | Forms strongly connected graph |
| sigma_f | Sigmoid function |
| strongly_connected | Check for strongly connected graph |
| surface_based_form_total | Performance of player on different surfaces |
| w_fill | Construct the matrix of players wins/losses |
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