| calc_removal_to_reach_target | Compute the Traces to Remove in order for Score1 to Reach... |
| check_decision_trace_after_adjustment | Check Adjustment Status After a Specific Setting of... |
| check_score1 | Check Score 1 Based on Prediction |
| check_score1_with_failed_pos | Check Score 1 Based on Prediction |
| check_score2 | Check Score 2 Based on Prediction |
| check_score_param | Check Score Of An Entire Parameter Setting. |
| check_score_pred | Check Scores Of A Single Prediction. |
| check_score_trace | Check Score Of An Entire Trace. |
| check_score_trace_after_adjusment | Check Tracewise score After Applying Adjustment Policy |
| check_summary_statistics_trace | Check Summary Statistics of Prediction Result |
| check_valid_anovatree_pred | Validity Checker for anovatree_pred Object |
| check_valid_arima_sim | Validity Checker for arima_sim Object |
| check_valid_auto_arima_sim | Validity Checker for auto_arima_sim Object |
| check_valid_autopilot_sim | Validity Checker for autopilot_sim Object |
| check_valid_ets_sim | Validity Checker for ets_sim Object |
| check_valid_gmm_pred | Validity Checker for gmm_pred Object |
| check_valid_lm_sim | Validity Checker for lm_sim Object |
| check_valid_markov_sim | Validity Checker for markov_sim Object |
| check_valid_multinom_sim | Validity Checker for multinom_sim Object |
| check_valid_nn_sim | Validity Checker for nn_sim Object |
| check_valid_pred | Validity Checker for pred Object |
| check_valid_sim | Validity Checker for sim Object |
| check_valid_stlm_sim | Validity Checker for stlm_sim Object |
| check_valid_structual_sim | Validity Checker for structual_sim Object |
| check_valid_surtree_pred | Validity Checker for surtree_pred Object |
| check_valid_var_sim | Validity Checker for var_sim Object |
| combined_sim_job_centered | Combinations of Predictions of Background Jobs and Foreground... |
| combined_sim_machine_centered | Combined Simulation with Synthetic Background Jobs |
| compute_summary_performance | Compute Performance of Scheduling of Jobs in Summary |
| convert_frequency_dataset | Convert Dataset Frequency Using Disjoint Windows. |
| convert_frequency_dataset_overlapping | Convert Dataset Frequency Using Overlapping Windows. |
| discretization | Discretize A Vector of Duration Time. |
| discretized_from_normal_param_prediction | Predict Parameters by Discretizing to States from Normal... |
| do_prediction | Do Prediction |
| estimate_outliers | Estimate the effect of outliers |
| find_and_remove_outliers_testing_set | Find and Adjust the Newly Observed Data in Tesing Set |
| find_expectation_gaussian_mixture | Find Expected Value of Gaussian Mixture Random Variable |
| find_expectation_skewnorm | Find Expected Value of Skew Normal Random Variable |
| find_expectation_state_based_dist | Find Expected Value of Discrete Random variable |
| find_extra_margin | Find Number of Cores As Extra Margin to Reach Targt |
| find_score_after_buffer | Find the Score Changes After Adding Buffers |
| find_score_change | Find the Score Change Information |
| find_shifted_skewnorm | Find Updated Parameters For Skew Normal Distribution |
| find_shifted_state_based_dist | Find Discrete Random Variable Distribution After Mean Shift |
| find_state_based_cdf | Find CDF of Discrete Random Variable |
| find_state_num | Find Corresponding State |
| get_adjust_switch | Get Updated Adjustment Status. |
| get_characteristic_slots | Get The Slots that Are Considered Charactersitics of... |
| get_hidden_slots | Get The Slots that Are Not Displayed |
| get_param_slots | Get The Slots that Are Considered Hyperparameters of... |
| get_representation | Get Representation |
| google_runtime_data | 11409 Samples of Jobs of Google ClusterData 2011 traces |
| label_performance_trace | Label Traces Based on Their Performance |
| machines_select | Select the Best Machine for A Foreground Job |
| machine_survival | Find Outcome of A Scheduled Foreground Job |
| machine_update | Update Machine PI After Job Scheduling |
| microsoft_avg_100 | 100 Samples of Azure Public Dataset V1 |
| microsoft_max_100 | 100 Samples of Azure Public Dataset V1 |
| normalize_predict_info | Normalize Parameter Info |
| order_by_weighted_score1 | Order the Performance of Traces Based on Weighted Score1 |
| parameter_parser | Convert Predicted Paraemeters into Lists |
| periodic_avg_78 | 78 Samples of Periodic Azure Public Dataset V1 |
| periodic_max_78 | 78 Samples of Periodic Azure Public Dataset V1 |
| plot_buffer_needed_to_reach_target | Plot the Buffer Size Needed to Reach Target Score. |
| plot_ecdf_acf | Plot the ECDF of ACF, PACF and CCF |
| plot_ecdf_correlation | Plot the ECDF of Correlation Or Cross-correlation of... |
| plot_ecdf_data | Plot the ECDF of data |
| plot_ecdf_traces_performance | Plot ECDF of Performance of Traces of A Control Variable |
| plot_generated_trace_diagnosis | Plot the Diagnosis of Generated Traces |
| plot_heatmap_correlations | Plot the Heatmap of Correlation Or Cross-correlation of... |
| plot_score_change_with_buffer | Plot the Score Change After Buffer |
| plot_sim_charwise | Automatically Detect Parameters in Charwise Summary |
| plot_sim_paramwise | Plot Simulation Result Type Tracewise |
| plot_sim_tracewise | Plot Simulation Result Type Tracewise |
| plot_trace_removal_information | Plot Score Change After Removing Traces |
| pre_compute_models_background | Precomputation for Clustering and Runtime Distribution for... |
| pre_compute_models_foreground | Precompute the Predicted Statistics of Foreground Models |
| pred-class | An S4 Class to Represent A Prediction. |
| predicting_pred | Simulation of Scheduling Jobs Based On Predictions |
| predicting_sim | Simulation of Scheduling Jobs Based On Predictions. |
| prediction_including_outlier_effect | Do Prediction Considering Outlier Occurrence Probability and... |
| predict_model | Schedule Jobs Using Predictions On Given Test Set |
| predict_pred | Predict Runtime of Jobs On Given Test Set |
| replenish_jobs | Replenish the Background Queue by Using Bg_predict_info |
| round_to_nearest | Round To Nearest. |
| run_pred | Predictions of Foreground Jobs. |
| run_sim | Predictions of Foreground Jobs. |
| sample_moment_lag | Calculate Sample Covariance in Time Series |
| show_result | Print The Result Of Simulation |
| sim-class | An S4 Class to Represent A Simulation. |
| skew_norm_param_estimation | Estimate Parameters of Skew Normal Distribution Using MOM |
| skew_norm_param_prediction | Predict Parameters of Skew Normal Distribution Using MOM |
| svt_combine_simulation | Single Combined Simulation with Synthetic Background Jobs |
| svt_machine_survival | Find Outcome of A Scheduled Foreground Job for Single Machine |
| svt_predicting_sim | Simulation of Scheduling Jobs Based On Predictions On A... |
| trace_reconstruct | Reconstruct More Granular Trace Based on Average Trace. |
| train_model | Train Model |
| write_location_check | Check Write Location |
| write_sim_result | Write The Result Of Simulation |
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