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Functions2,677 in github.com/yzhao062/pyod

Method__init__
(self, model_name, device=None, pooling='cls', modality='text')
pyod/utils/encoders/huggingface.py:46
Method__init__
(self, knowledge_dir=None)
pyod/utils/knowledge/__init__.py:27
Method__init__
(self, name)
pyod/test/test_mcp_server_import.py:116
Method__init__
(self, **kwargs)
pyod/test/test_ad_engine.py:872
Method__init__
(self, feature_size)
pyod/test/test_base_dl.py:34
Method__init__
(self, contamination=0.1, epoch_num=1, optimizer_name='adam', loss_func=None, criterion=None,
pyod/test/test_base_dl.py:43
Method__init__
(self, contamination=0.1, epoch_num=1, optimizer_name='adam', loss_func=None, criterion=None,
pyod/test/test_base_dl.py:74
Method__init__
(self, real_tree, *, transform)
pyod/test/test_persistence.py:159
Method__init__
(self)
pyod/test/test_cd.py:163
Method__init__
(self, l1=0, empty=None)
pyod/test/test_base.py:32
Method__init__
(self, a=None, b=None)
pyod/test/test_base.py:58
Method__init__
(self, a=np.array([0]))
pyod/test/test_base.py:76
Method__init__
(self, *vargs)
pyod/test/test_base.py:90
Method__init__
(self, contamination=0.1)
pyod/test/test_base.py:101
Method__init__
(self, contamination=0.1)
pyod/test/test_base.py:112
Method__init__
(self, contamination=0.1)
pyod/test/test_base.py:123
Method__init__
(self)
pyod/models/pyg_cola.py:182
Method__init__
(self, contamination=0.1, perplexity=4.5, metric='euclidean', eps=1e-5)
pyod/models/sos.py:118
Method__init__
(self, contamination=0.1, n_neighbors=20, method="fast")
pyod/models/cof.py:80
Method__init__
(self, latent_size)
pyod/models/so_gaal.py:30
Method__init__
(self, latent_size, data_size)
pyod/models/so_gaal.py:44
Method__init__
(self, score_window=3, contamination=0.1, channel_aggregation='max')
pyod/models/ts_spectral_residual.py:70
Method__init__
(self)
pyod/models/pyg_conad.py:234
Method__init__
(self, detector_list, local_region_size=30, local_max_features=1.0, n_bins=10,
pyod/models/lscp.py:116
Method__init__
(self, n_components=None, n_selected_components=None, contamination=0.1, copy=True, whiten=Fa
pyod/models/pca.py:185
Method__init__
(self, contamination=0.1)
pyod/models/qmcd.py:76
Method__init__
(self, n_neighbors=20, algorithm='auto', leaf_size=30, metric='minkowski', p=2, metric_params
pyod/models/lof.py:142
Method__init__
(self)
pyod/models/pyg_guide.py:205
Method__init__
(self, k=10, stop_epochs=20, lr_d=0.01, lr_g=0.0001, momentum=0.9, contamination=0.1)
pyod/models/mo_gaal.py:83
Method__init__
(self, embed_dim=64, num_heads=4, alpha=0.5, dropout=0.3, epochs=100, lr=5e-3,
pyod/models/pyg_anomalydae.py:63
Method__init__
(self, threshold=3.5, contamination=0.1)
pyod/models/mad.py:69
Method__init__
(self, hidden_dim=64, num_layers=2, dropout=0.3, alpha=0.5, epochs=100, lr=5e-3, contaminati
pyod/models/pyg_dominant.py:64
Method__init__
(self, contamination=0.1, n_jobs=1)
pyod/models/copod.py:88
Method__init__
(self, contamination=0.1, n_bins=10, n_random_cuts=100, random_state=None)
pyod/models/loda.py:75
Method__init__
(self, contamination=0.1)
pyod/models/base.py:60
Method__init__
(self, contamination=0.1, alpha=0.5, k=3)
pyod/models/loci.py:146
Method__init__
(self, feature_size, encoder_neuron_list=[128, 64, 32], dec
pyod/models/vae.py:302
Method__init__
(self, contamination=0.1, n_neighbors=5, method='fast', algorithm='auto', leaf_size=30, metri
pyod/models/abod.py:164
Method__init__
(self, contamination=0.1, preprocessing=True, lr=1e-3, epoch_num=10, batch_s
pyod/models/base_dl.py:104
Method__init__
(self, base_estimator=None, n_estimators=10, contamination=0.1, max_features=1.0, bootstrap_f
pyod/models/feature_bagging.py:184
Method__init__
(self, min_cluster_size=5, min_samples=None, metric='euclidean', alpha=1.0, algorithm='auto',
pyod/models/hdbscan.py:88
Method__init__
(self, n_features, n_hidden=[500, 100], n_output=20, activation='ReLU', bias=False, batch_nor
pyod/models/dif.py:289
Method__init__
(self, in_channels, out_channels, activation='Tanh', bias=False, batch_norm=False,
pyod/models/dif.py:336
Method__init__
(self, window_size=50, contamination=0.1, channel_aggregation='max')
pyod/models/ts_matrix_profile.py:223
Method__init__
(self, d_model, n_heads, window_size, d_ff=None, dropout=0.1)
pyod/models/ts_anomaly_transformer.py:132
Method__init__
(self, n_channels, window_size, d_model=512, n_heads=8, n_layers=3, dropout=0.1)
pyod/models/ts_anomaly_transformer.py:181
Method__init__
(self, window_size=100, d_model=512, n_heads=8, n_layers=3, epochs=10, lr=1e-4, batch_size=32
pyod/models/ts_anomaly_transformer.py:468
Method__init__
(self, alpha=1.0, gamma=0.01, max_iter=100, contamination=0.1)
pyod/models/pyg_radar.py:60
Method__init__
(self, feature_size, hidden_neuron_list=[64, 32], hidden_ac
pyod/models/auto_encoder.py:176
Method__init__
(self, n_mels=64, context=5, hop_length=512, sr=_DEFAULT_SR, contamination=0.1, epoch_num=40,
pyod/models/audio_ae.py:123
Method__init__
(self, detector='IForest', window_size=50, step=1, score_aggregation='max', contamination=0.1
pyod/models/ts_od.py:73
Method__init__
(self, contamination=0.1, store_precision=True, assume_centered=False, support_fraction=None,
pyod/models/mcd.py:111
Method__init__
(self, contamination=0.1, n_jobs=1)
pyod/models/ecod.py:90
Method__init__
( self, n_components=None, kernel="rbf", gamma=None,
pyod/models/kpca.py:19
Method__init__
(self, n_bins=10, alpha=0.1, tol=0.5, contamination=0.1)
pyod/models/hbos.py:74
Method__init__
(self, contamination=0.1, n_iter=50, dis_measure='aad', random_state=None)
pyod/models/lmdd.py:108
Method__init__
( self, contamination=0.1, bandwidth=1.0, algorithm="auto",
pyod/models/kde.py:99
Method__init__
(self, latent_dim_G, n_features, G_layers, dropout_rate, activation_hidden, output_activation
pyod/models/anogan.py:32
Method__init__
(self, n_features, D_layers, dropout_rate, activation_hidden)
pyod/models/anogan.py:64
Method__init__
(self, generator, discriminator, latent_dim_G)
pyod/models/anogan.py:91
Method__init__
(self, epsilon=0.5, mu=2, contamination=0.1)
pyod/models/pyg_scan.py:77
Method__init__
(self, contamination=0.1, model=None)
pyod/models/cd.py:159
Method__init__
(self, transition_steps=10, n_nonzero=10, gamma=50.0, gamma_nz=True, algorithm='lasso_lars',
pyod/models/rgraph.py:140
Method__init__
(self, estimator_list=None, standardization_flag_list=None, max_depth=3, learning_rate=0.1,
pyod/models/xgbod.py:148
Method__init__
( self, n_components=1, covariance_type="full", tol=1e-3,
pyod/models/gmm.py:123
Method__init__
(self, n_features, encoding_dim, rff_dim, sigma=1.0, hidden_neurons=(128, 64),
pyod/models/ae1svm.py:56
Method__init__
(self, input_dim, output_dim, sigma=1.0)
pyod/models/ae1svm.py:155
Method__init__
(self, contamination=0.1, subset_size=20, metric="minkowski
pyod/models/sampling.py:97
Method__init__
(self, n_features, use_ae, hidden_neurons, hidden_activation, output_activat
pyod/models/deep_svdd.py:73
Method__init__
(self, n_clusters=8, contamination=0.1, clustering_estimator=None, alpha=0.9, beta=5,
pyod/models/cblof.py:135
Method__init__
(self, contamination=0.1, n_neighbors=5, method='largest', radius=1.0, algorithm='auto', leaf
pyod/models/knn.py:141
Method__init__
(self, kernel='rbf', degree=3, gamma='auto', coef0=0.0, tol=1e-3, nu=0.5, shrinking=True, cac
pyod/models/ocsvm.py:114
Method__init__
(self, base_estimators=None, contamination=0.1, combination='average', n_jobs=None,
pyod/models/suod.py:134
Method__init__
(self, window_size=50, n_clusters=5, alpha=0.5, batch_size=100, max_iter=50, contamination=0.
pyod/models/ts_sand.py:94
Method__init__
(self, activation_hidden_gen='tanh', activation_hidden_disc='tanh', output_a
pyod/models/alad.py:133
Method__init__
(self, feature_size)
pyod/models/so_gaal_new.py:145
Method__init__
(self, feature_size, data_num)
pyod/models/so_gaal_new.py:159
Method__init__
(self, input_shape)
pyod/models/devnet.py:32
Method__init__
(self, input_shape)
pyod/models/devnet.py:48
Method__init__
(self, input_shape)
pyod/models/devnet.py:60
Method__init__
(self, x, outlier_indices, inlier_indices, rng)
pyod/models/devnet.py:133
Method__init__
(self, modalities, combination='average', contamination=0.1, standardize_scores=True)
pyod/models/embedding.py:556
Method__init__
(self, n_estimators=100, max_samples="auto", contamination=0.1,
pyod/models/iforest.py:165
Method__init__
(self, contamination=0.1, parallel_execution=False)
pyod/models/rod.py:376
Method__init__
(self, n_clusters=3, window_size=50, max_iter=100, contamination=0.1, channel_aggregation='ma
pyod/models/ts_kshape.py:295
Method__init__
(self, latent_size, data_size)
pyod/models/gaal_base.py:38
Method__init__
(self, alpha=1.0, gamma=1.0, lambda_r=0.01, max_iter=100, contamination=0.1)
pyod/models/pyg_anomalous.py:61
Method__init__
(self, n_estimators=200, max_samples="auto", contamination=
pyod/models/inne.py:82
Method__init__
(self, contamination=0.1, n_neighbors=20, ref_set=10, alpha=0.8, algorithm='auto', leaf_size=
pyod/models/sod.py:111
Method__init__
(self, k)
pyod/models/lunar.py:63
Method__init__
(self, k)
pyod/models/lunar.py:84
Method__init__
(self, n_features, hidden_size, n_layers)
pyod/models/ts_lstm.py:325
Method__init__
(self)
pyod/models/ts_lstm.py:329
Method__iter__
(self)
pyod/models/lscp.py:407
Method__iter__
Returns iterator over estimators in the ensemble.
pyod/models/feature_bagging.py:407
Method__len__
(self)
pyod/utils/torch_utility.py:24
Method__len__
(self)
pyod/models/lscp.py:401
Method__len__
Returns the number of estimators in the ensemble.
pyod/models/feature_bagging.py:399
Method__len__
(self)
pyod/models/devnet.py:140
Method__reduce__
(self)
pyod/test/test_persistence.py:170
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