combined_data | Cross-situational word learning experiment data |
create_cooc_matrix | Creates Co-occurrence Matrix from Training Trials |
cross_validated_group_fits | Perform Cross-Validation on Group Fits of a Model |
fit_by_cond | Fit Model to Each Condition Individually |
fit_model | Fit Model to Conditions Using Differential Evolution |
fit_stochastic_by_cond | Fit Stochastic Model to Each Condition Individually |
fit_stochastic_model | Fit Stochastic Model to Conditions Using Differential... |
get_example_ambiguous_condition | Get example ambiguous condition |
get_example_unambiguous_condition | Get example unambiguous condition |
get_fscore | Calculate F-score, Precision, Recall, and Specificity for a... |
get_model_dataframe | Create a Data Frame from Model Fits |
get_model_dataframe_cond_fits | Generate Data Frame for Model Fits by Condition |
get_perf | Calculate Luce Choice (Proportion Correct) for Each Item in a... |
get_roc | Calculate Receiver Operating Characteristic (ROC) Scores for... |
get_roc_max | Get Maximum F-score from ROC Scores |
get_tp | Get True Positives (TP), Given a Knowledge Matrix and a Gold... |
get_train_test_split | Split Data into Training and Testing Sets Based on Indices |
mafc_test | Evaluate m-alternative forced choice test |
models | Cross-situational word learning models |
plot_training_trials | Create Animated Plot of Co-Occurrence Matrix from Training... |
run_model | Run specified model on provided condition(s) |
run_stochastic_model | Run Stochastic Model on Provided Conditions |
shannon.entropy | Calculates Shannon entropy of a supplied vector, after... |
stochastic_dummy | Dummy Function for Stochastic Simulation |
update_known | Utility function for several models that fills in a given... |
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