API 参考¶
- 所有模型
- pyod.models.abod 模块
- pyod.models.ae1svm 模块
- pyod.models.alad 模块
- pyod.models.anogan 模块
- pyod.models.auto_encoder 模块
AutoEncoderAutoEncoder.modelAutoEncoder.optimizerAutoEncoder.criterionAutoEncoder.decision_scores_AutoEncoder.threshold_AutoEncoder.labels_AutoEncoder.build_model()AutoEncoder.decision_function()AutoEncoder.evaluate()AutoEncoder.fit()AutoEncoder.fit_predict()AutoEncoder.fit_predict_score()AutoEncoder.predict()AutoEncoder.predict_confidence()AutoEncoder.predict_proba()AutoEncoder.save()AutoEncoder.train()AutoEncoder.training_forward()AutoEncoder.training_prepare()
- pyod.models.auto_encoder_torch 模块
- pyod.models.cblof 模块
CBLOFCBLOF.clustering_estimator_CBLOF.cluster_labels_CBLOF.n_clusters_CBLOF.cluster_sizes_CBLOF.decision_scores_CBLOF.cluster_centers_CBLOF.small_cluster_labels_CBLOF.large_cluster_labels_CBLOF.threshold_CBLOF.labels_CBLOF.decision_function()CBLOF.fit()CBLOF.fit_predict()CBLOF.fit_predict_score()CBLOF.predict()CBLOF.predict_confidence()CBLOF.predict_proba()
- pyod.models.cof 模块
- pyod.models.combination 模块
- pyod.models.cd 模块
- pyod.models.copod 模块
- pyod.models.deep_svdd 模块
- pyod.models.devnet 模块
- pyod.models.dif 模块
- pyod.models.ecod 模块
- pyod.models.feature_bagging 模块
FeatureBaggingFeatureBagging.decision_scores_FeatureBagging.threshold_FeatureBagging.labels_FeatureBagging.decision_function()FeatureBagging.fit()FeatureBagging.fit_predict()FeatureBagging.fit_predict_score()FeatureBagging.get_params()FeatureBagging.predict()FeatureBagging.predict_confidence()FeatureBagging.predict_proba()FeatureBagging.set_params()
- pyod.models.gmm 模块
GMMGMM.weights_GMM.means_GMM.covariances_GMM.precisions_GMM.precisions_cholesky_GMM.converged_GMM.n_iter_GMM.lower_bound_GMM.decision_scores_GMM.threshold_GMM.labels_GMM.decision_function()GMM.fit()GMM.fit_predict()GMM.fit_predict_score()GMM.precisions_GMM.precisions_cholesky_GMM.predict()GMM.predict_confidence()GMM.predict_proba()
- pyod.models.hbos 模块
- pyod.models.iforest 模块
IForestIForest.estimators_IForest.estimators_samples_IForest.max_samples_IForest.decision_scores_IForest.threshold_IForest.labels_IForest.decision_function()IForest.feature_importances_IForest.fit()IForest.fit_predict()IForest.fit_predict_score()IForest.max_samples_IForest.n_features_in_IForest.offset_IForest.predict()IForest.predict_confidence()IForest.predict_proba()
- pyod.models.inne 模块
- pyod.models.kde 模块
- pyod.models.knn 模块
- pyod.models.kpca 模块
- pyod.models.lmdd 模块
- pyod.models.loda 模块
- pyod.models.lof 模块
- pyod.models.loci 模块
- pyod.models.lunar 模块
- pyod.models.lscp 模块
- pyod.models.mad 模块
- pyod.models.mcd 模块
MCDMCD.raw_location_MCD.raw_covariance_MCD.raw_support_MCD.location_MCD.covariance_MCD.precision_MCD.support_MCD.decision_scores_MCD.threshold_MCD.labels_MCD.decision_function()MCD.fit()MCD.fit_predict()MCD.fit_predict_score()MCD.get_params()MCD.predict()MCD.predict_confidence()MCD.predict_proba()MCD.set_params()
- pyod.models.mo_gaal 模块
- pyod.models.ocsvm 模块
OCSVMOCSVM.support_OCSVM.support_vectors_OCSVM.dual_coef_OCSVM.coef_OCSVM.intercept_OCSVM.decision_scores_OCSVM.threshold_OCSVM.labels_OCSVM.decision_function()OCSVM.fit()OCSVM.fit_predict()OCSVM.fit_predict_score()OCSVM.get_params()OCSVM.predict()OCSVM.predict_confidence()OCSVM.predict_proba()OCSVM.set_params()
- pyod.models.pca 模块
PCAPCA.components_PCA.explained_variance_PCA.explained_variance_ratio_PCA.singular_values_PCA.mean_PCA.n_components_PCA.noise_variance_PCA.decision_scores_PCA.threshold_PCA.labels_PCA.decision_function()PCA.explained_variance_PCA.fit()PCA.fit_predict()PCA.fit_predict_score()PCA.get_params()PCA.noise_variance_PCA.predict()PCA.predict_confidence()PCA.predict_proba()PCA.set_params()
- pyod.models.qmcd 模块
- pyod.models.rgraph 模块
- pyod.models.rod 模块
- pyod.models.sampling 模块
- pyod.models.sod 模块
- pyod.models.so_gaal 模块
- pyod.models.sos 模块
- pyod.models.suod 模块
- pyod.models.thresholds 模块
- pyod.models.vae 模块
VAEVAE.modelVAE.optimizerVAE.criterionVAE.decision_scores_VAE.threshold_VAE.labels_VAE.build_model()VAE.decision_function()VAE.decision_function_update()VAE.epoch_update()VAE.evaluate()VAE.evaluating_forward()VAE.evaluating_prepare()VAE.fit()VAE.fit_predict()VAE.fit_predict_score()VAE.get_params()VAE.load()VAE.predict()VAE.predict_confidence()VAE.predict_proba()VAE.save()VAE.set_params()VAE.train()VAE.training_forward()VAE.training_prepare()
- pyod.models.xgbod 模块
- 模块内容
- 实用函数