Index

A

align_y_axis() (in module rankeval.visualization.feature)

avg_tree_shape() (rankeval.analysis.topological.TopologicalAnalysisResult method)

B

bias_variance() (in module rankeval.analysis.statistical)

C

clear_cache() (rankeval.model.rt_ensemble.RTEnsemble method) (rankeval.model.RTEnsemble method) clear_X() (rankeval.dataset.Dataset method) (rankeval.dataset.dataset.Dataset method)

copy() (rankeval.model.rt_ensemble.RTEnsemble method) (rankeval.model.RTEnsemble method)

D

Dataset (class in rankeval.dataset) (class in rankeval.dataset.dataset) DatasetContainer (class in rankeval.dataset) (class in rankeval.dataset.dataset_container) DCG (class in rankeval.metrics) (class in rankeval.metrics.dcg)

describe_tree_height() (rankeval.analysis.topological.TopologicalAnalysisResult method) document_graded_relevance() (in module rankeval.analysis.effectiveness) dump() (rankeval.dataset.Dataset method) (rankeval.dataset.dataset.Dataset method) dump_svmlight_file() (in module rankeval.dataset.svmlight_format)

E

ERR (class in rankeval.metrics) (class in rankeval.metrics.err) eval() (rankeval.metrics.DCG method) (rankeval.metrics.ERR method) (rankeval.metrics.Kendalltau method) (rankeval.metrics.MAP method) (rankeval.metrics.MRR method) (rankeval.metrics.MSE method) (rankeval.metrics.Metric method) (rankeval.metrics.NDCG method) (rankeval.metrics.Pfound method) (rankeval.metrics.Precision method) (rankeval.metrics.RBP method) (rankeval.metrics.RMSE method) (rankeval.metrics.Recall method) (rankeval.metrics.SpearmanRho method) (rankeval.metrics.dcg.DCG method) (rankeval.metrics.err.ERR method) (rankeval.metrics.kendall_tau.Kendalltau method) (rankeval.metrics.map.MAP method) (rankeval.metrics.metric.Metric method) (rankeval.metrics.mrr.MRR method) (rankeval.metrics.mse.MSE method) (rankeval.metrics.ndcg.NDCG method) (rankeval.metrics.pfound.Pfound method) (rankeval.metrics.precision.Precision method) (rankeval.metrics.rbp.RBP method) (rankeval.metrics.recall.Recall method) (rankeval.metrics.rmse.RMSE method) (rankeval.metrics.spearman_rho.SpearmanRho method)

eval_per_query() (rankeval.metrics.DCG method) (rankeval.metrics.ERR method) (rankeval.metrics.Kendalltau method) (rankeval.metrics.MAP method) (rankeval.metrics.MRR method) (rankeval.metrics.MSE method) (rankeval.metrics.Metric method) (rankeval.metrics.NDCG method) (rankeval.metrics.Pfound method) (rankeval.metrics.Precision method) (rankeval.metrics.RBP method) (rankeval.metrics.RMSE method) (rankeval.metrics.Recall method) (rankeval.metrics.SpearmanRho method) (rankeval.metrics.dcg.DCG method) (rankeval.metrics.err.ERR method) (rankeval.metrics.kendall_tau.Kendalltau method) (rankeval.metrics.map.MAP method) (rankeval.metrics.metric.Metric method) (rankeval.metrics.mrr.MRR method) (rankeval.metrics.mse.MSE method) (rankeval.metrics.ndcg.NDCG method) (rankeval.metrics.pfound.Pfound method) (rankeval.metrics.precision.Precision method) (rankeval.metrics.rbp.RBP method) (rankeval.metrics.recall.Recall method) (rankeval.metrics.rmse.RMSE method) (rankeval.metrics.spearman_rho.SpearmanRho method) export_scikit_model() (rankeval.model.proxy_ScikitLearn.ProxyScikitLearn static method) (rankeval.model.ProxyScikitLearn static method)

F

feature_importance() (in module rankeval.analysis.feature)

fullness_per_level() (rankeval.analysis.topological.TopologicalAnalysisResult method)

G

get_partial_predicted_scores() (rankeval.scoring.Scorer method) (rankeval.scoring.scorer.Scorer method)

get_predicted_scores() (rankeval.scoring.Scorer method) (rankeval.scoring.scorer.Scorer method)

I

init_plot_style() (in module rankeval.visualization.effectiveness) initialize() (rankeval.model.rt_ensemble.RTEnsemble method) (rankeval.model.RTEnsemble method)

is_leaf_node() (rankeval.model.rt_ensemble.RTEnsemble method) (rankeval.model.RTEnsemble method) is_log_scale_matrix() (in module rankeval.visualization.effectiveness)

K

Kendalltau (class in rankeval.metrics) (class in rankeval.metrics.kendall_tau)

L

license_agreement (rankeval.dataset.dataset_container.DatasetContainer attribute) (rankeval.dataset.DatasetContainer attribute) load() (rankeval.dataset.Dataset static method) (rankeval.dataset.dataset.Dataset static method) (rankeval.model.ProxyLightGBM static method) (rankeval.model.ProxyQuickRank static method) (rankeval.model.ProxyScikitLearn static method) (rankeval.model.ProxyXGBoost static method) (rankeval.model.proxy_LightGBM.ProxyLightGBM static method) (rankeval.model.proxy_QuickRank.ProxyQuickRank static method) (rankeval.model.proxy_ScikitLearn.ProxyScikitLearn static method) (rankeval.model.proxy_XGBoost.ProxyXGBoost static method)

load_dataset() (in module rankeval.dataset.datasets_fetcher) load_svmlight_file() (in module rankeval.dataset.svmlight_format) load_svmlight_files() (in module rankeval.dataset.svmlight_format)

M

main() (in module rankeval.dataset.write_json_dataset_catalogue) MAP (class in rankeval.metrics) (class in rankeval.metrics.map) Metric (class in rankeval.metrics) (class in rankeval.metrics.metric) model_filenames (rankeval.dataset.dataset_container.DatasetContainer attribute) (rankeval.dataset.DatasetContainer attribute)

model_performance() (in module rankeval.analysis.effectiveness) MRR (class in rankeval.metrics) (class in rankeval.metrics.mrr) MSE (class in rankeval.metrics) (class in rankeval.metrics.mse)

N

NDCG (class in rankeval.metrics) (class in rankeval.metrics.ndcg)

P

Pfound (class in rankeval.metrics) (class in rankeval.metrics.pfound) plot_document_graded_relevance() (in module rankeval.visualization.effectiveness) plot_feature_importance() (in module rankeval.visualization.feature) plot_model_performance() (in module rankeval.visualization.effectiveness) plot_query_class_performance() (in module rankeval.visualization.effectiveness) plot_query_wise_performance() (in module rankeval.visualization.effectiveness) plot_rank_confusion_matrix() (in module rankeval.visualization.effectiveness) plot_shape() (in module rankeval.visualization.topological) plot_tree_wise_average_contribution() (in module rankeval.visualization.effectiveness)

plot_tree_wise_performance() (in module rankeval.visualization.effectiveness) Precision (class in rankeval.metrics) (class in rankeval.metrics.precision) ProxyLightGBM (class in rankeval.model) (class in rankeval.model.proxy_LightGBM) ProxyQuickRank (class in rankeval.model) (class in rankeval.model.proxy_QuickRank) ProxyScikitLearn (class in rankeval.model) (class in rankeval.model.proxy_ScikitLearn) ProxyXGBoost (class in rankeval.model) (class in rankeval.model.proxy_XGBoost)

Q

query_class_performance() (in module rankeval.analysis.effectiveness) query_iterator() (rankeval.metrics.Metric method) (rankeval.metrics.metric.Metric method)

query_offset_iterator() (rankeval.dataset.Dataset method) (rankeval.dataset.dataset.Dataset method) query_wise_performance() (in module rankeval.analysis.effectiveness)

R

rank_confusion_matrix() (in module rankeval.analysis.effectiveness) rankeval (module) rankeval.analysis (module) rankeval.analysis.effectiveness (module) rankeval.analysis.feature (module) rankeval.analysis.statistical (module) rankeval.analysis.topological (module) rankeval.dataset (module) rankeval.dataset.dataset (module) rankeval.dataset.dataset_container (module) rankeval.dataset.datasets_fetcher (module) rankeval.dataset.svmlight_format (module) rankeval.dataset.write_json_dataset_catalogue (module) rankeval.metrics (module) rankeval.metrics.dcg (module) rankeval.metrics.err (module) rankeval.metrics.kendall_tau (module) rankeval.metrics.map (module) rankeval.metrics.metric (module) rankeval.metrics.mrr (module) rankeval.metrics.mse (module) rankeval.metrics.ndcg (module) rankeval.metrics.pfound (module) rankeval.metrics.precision (module)

rankeval.metrics.rbp (module) rankeval.metrics.recall (module) rankeval.metrics.rmse (module) rankeval.metrics.spearman_rho (module) rankeval.model (module) rankeval.model.proxy_LightGBM (module) rankeval.model.proxy_QuickRank (module) rankeval.model.proxy_ScikitLearn (module) rankeval.model.proxy_XGBoost (module) rankeval.model.rt_ensemble (module) rankeval.scoring (module) rankeval.scoring.scorer (module) rankeval.visualization (module) rankeval.visualization.effectiveness (module) rankeval.visualization.feature (module) rankeval.visualization.topological (module) RBP (class in rankeval.metrics) (class in rankeval.metrics.rbp) Recall (class in rankeval.metrics) (class in rankeval.metrics.recall) resolvexticks() (in module rankeval.visualization.effectiveness) RMSE (class in rankeval.metrics) (class in rankeval.metrics.rmse) RTEnsemble (class in rankeval.model) (class in rankeval.model.rt_ensemble)

S

save() (rankeval.model.proxy_LightGBM.ProxyLightGBM static method) (rankeval.model.ProxyLightGBM static method) (rankeval.model.ProxyQuickRank static method) (rankeval.model.ProxyScikitLearn static method) (rankeval.model.ProxyXGBoost static method) (rankeval.model.RTEnsemble method) (rankeval.model.proxy_QuickRank.ProxyQuickRank static method) (rankeval.model.proxy_ScikitLearn.ProxyScikitLearn static method) (rankeval.model.proxy_XGBoost.ProxyXGBoost static method) (rankeval.model.rt_ensemble.RTEnsemble method)

score() (rankeval.model.rt_ensemble.RTEnsemble method) (rankeval.model.RTEnsemble method) (rankeval.scoring.Scorer method) (rankeval.scoring.scorer.Scorer method) Scorer (class in rankeval.scoring) (class in rankeval.scoring.scorer) SpearmanRho (class in rankeval.metrics) (class in rankeval.metrics.spearman_rho) statistical_significance() (in module rankeval.analysis.statistical) subset_features() (rankeval.dataset.Dataset method) (rankeval.dataset.dataset.Dataset method)

T

test_dataset (rankeval.dataset.dataset_container.DatasetContainer attribute) (rankeval.dataset.DatasetContainer attribute) topological_analysis() (in module rankeval.analysis.topological) TopologicalAnalysisResult (class in rankeval.analysis.topological)

train_dataset (rankeval.dataset.dataset_container.DatasetContainer attribute) (rankeval.dataset.DatasetContainer attribute) tree_wise_average_contribution() (in module rankeval.analysis.effectiveness) tree_wise_performance() (in module rankeval.analysis.effectiveness)

V

validation_dataset (rankeval.dataset.dataset_container.DatasetContainer attribute) (rankeval.dataset.DatasetContainer attribute)