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menelaus
menelaus.change_detection
menelaus.change_detection.adwin
menelaus.change_detection.cusum
menelaus.change_detection.page_hinkley
menelaus.concept_drift
menelaus.concept_drift.adwin_accuracy
menelaus.concept_drift.ddm
menelaus.concept_drift.eddm
menelaus.concept_drift.lfr
menelaus.concept_drift.md3
menelaus.concept_drift.stepd
menelaus.data_drift
menelaus.data_drift.cdbd
menelaus.data_drift.hdddm
menelaus.data_drift.histogram_density_method
menelaus.data_drift.kdq_tree
menelaus.data_drift.nndvi
menelaus.data_drift.pca_cd
menelaus.datasets
menelaus.datasets.generator
menelaus.datasets.make_example_data
menelaus.ensemble
menelaus.ensemble.election
menelaus.ensemble.ensemble
menelaus.partitioners
menelaus.partitioners.KDQTreePartitioner
menelaus.partitioners.NNSpacePartitioner
menelaus.detector
Change Detection Examples
Cumulative Sum (CUSUM) Test
Page-Hinkley (PH) Test
ADaptive WINdowing (ADWIN)
Concept Drift Detector Examples
Linear Four Rates (LFR)
ADaptive WINdowing (ADWIN)
Drift Detection Method (DDM)
Early Drift Detection Method (EDDM)
Statistical Test of Equal Proportions to Detect Concept Drift (STEPD)
Margin Density Drift Detection (MD3) Method
Data Drift Detector Examples
Confidence Distribution Batch Detection (CDBD)
Hellinger Distance Drift Detection Method (HDDDM)
PCA-Based Change Detection (PCA-CD)
KDQ-Tree Detection Method (Streaming Setting)
KDQ-Tree Detection Method (Batch Setting)
Nearest-Neighbor Density Variation Identification (NN-DVI)
Ensemble Drift Detector Examples
Imports
Import Data
Batch Ensemble
Streaming Ensemble
Partitioner Plot Example
Basic Plot
Modifications
Alternatives
References
menelaus
Index
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Index
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A
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B
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C
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D
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E
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F
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G
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H
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I
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K
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L
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M
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N
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O
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P
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R
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S
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T
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U
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V
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X
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Y
_
__init__() (menelaus.change_detection.adwin.ADWIN method)
(menelaus.change_detection.cusum.CUSUM method)
(menelaus.change_detection.page_hinkley.PageHinkley method)
(menelaus.concept_drift.adwin_accuracy.ADWINAccuracy method)
(menelaus.concept_drift.ddm.DDM method)
(menelaus.concept_drift.eddm.EDDM method)
(menelaus.concept_drift.lfr.LinearFourRates method)
(menelaus.concept_drift.md3.MD3 method)
(menelaus.concept_drift.stepd.STEPD method)
(menelaus.data_drift.cdbd.CDBD method)
(menelaus.data_drift.hdddm.HDDDM method)
(menelaus.data_drift.histogram_density_method.HistogramDensityMethod method)
(menelaus.data_drift.kdq_tree.KdqTreeBatch method)
(menelaus.data_drift.kdq_tree.KdqTreeDetector method)
(menelaus.data_drift.kdq_tree.KdqTreeStreaming method)
(menelaus.data_drift.nndvi.NNDVI method)
(menelaus.data_drift.pca_cd.PCACD method)
(menelaus.detector.BatchDetector method)
(menelaus.detector.DriftDetector method)
(menelaus.detector.StreamingDetector method)
(menelaus.ensemble.election.ConfirmedElection method)
(menelaus.ensemble.election.MinimumApprovalElection method)
(menelaus.ensemble.election.OrderedApprovalElection method)
(menelaus.ensemble.ensemble.BatchEnsemble method)
(menelaus.ensemble.ensemble.Ensemble method)
(menelaus.ensemble.ensemble.StreamingEnsemble method)
(menelaus.partitioners.KDQTreePartitioner.KDQTreeNode method)
(menelaus.partitioners.KDQTreePartitioner.KDQTreePartitioner method)
(menelaus.partitioners.NNSpacePartitioner.NNSpacePartitioner method)
A
adjacency_matrix (menelaus.partitioners.NNSpacePartitioner.NNSpacePartitioner attribute)
ADWIN (class in menelaus.change_detection.adwin)
ADWINAccuracy (class in menelaus.concept_drift.adwin_accuracy)
alpha (menelaus.data_drift.nndvi.NNDVI attribute)
,
[1]
as_flattened_array() (menelaus.partitioners.KDQTreePartitioner.KDQTreeNode static method)
as_text() (menelaus.partitioners.KDQTreePartitioner.KDQTreeNode static method)
axis (menelaus.partitioners.KDQTreePartitioner.KDQTreeNode attribute)
B
BatchDetector (class in menelaus.detector)
BatchEnsemble (class in menelaus.ensemble.ensemble)
batches_since_reset (menelaus.data_drift.cdbd.CDBD property)
(menelaus.data_drift.hdddm.HDDDM property)
(menelaus.data_drift.histogram_density_method.HistogramDensityMethod property)
(menelaus.data_drift.kdq_tree.KdqTreeBatch property)
(menelaus.data_drift.nndvi.NNDVI property)
(menelaus.detector.BatchDetector property)
(menelaus.ensemble.ensemble.BatchEnsemble property)
bins (menelaus.data_drift.cdbd.CDBD attribute)
(menelaus.data_drift.hdddm.HDDDM attribute)
build() (menelaus.partitioners.KDQTreePartitioner.KDQTreeNode static method)
(menelaus.partitioners.KDQTreePartitioner.KDQTreePartitioner method)
(menelaus.partitioners.NNSpacePartitioner.NNSpacePartitioner method)
C
calculate_distribution_statistics() (menelaus.concept_drift.md3.MD3 method)
calculate_margin_inclusion_signal() (menelaus.concept_drift.md3.MD3 method)
CDBD (class in menelaus.data_drift.cdbd)
compute_nnps_distance() (menelaus.partitioners.NNSpacePartitioner.NNSpacePartitioner static method)
ConfirmedElection (class in menelaus.ensemble.election)
count_ubound (menelaus.partitioners.KDQTreePartitioner.KDQTreePartitioner attribute)
CUSUM (class in menelaus.change_detection.cusum)
cutpoint_proportion_lbound (menelaus.partitioners.KDQTreePartitioner.KDQTreePartitioner attribute)
D
D (menelaus.partitioners.NNSpacePartitioner.NNSpacePartitioner attribute)
DDM (class in menelaus.concept_drift.ddm)
distances (menelaus.data_drift.cdbd.CDBD attribute)
(menelaus.data_drift.hdddm.HDDDM attribute)
(menelaus.data_drift.histogram_density_method.HistogramDensityMethod attribute)
drift_state (menelaus.change_detection.adwin.ADWIN property)
(menelaus.change_detection.cusum.CUSUM property)
(menelaus.change_detection.page_hinkley.PageHinkley property)
(menelaus.concept_drift.adwin_accuracy.ADWINAccuracy property)
(menelaus.concept_drift.ddm.DDM property)
(menelaus.concept_drift.eddm.EDDM property)
(menelaus.concept_drift.lfr.LinearFourRates property)
(menelaus.concept_drift.md3.MD3 property)
(menelaus.concept_drift.stepd.STEPD property)
(menelaus.data_drift.cdbd.CDBD property)
(menelaus.data_drift.hdddm.HDDDM property)
(menelaus.data_drift.histogram_density_method.HistogramDensityMethod property)
(menelaus.data_drift.kdq_tree.KdqTreeBatch property)
(menelaus.data_drift.kdq_tree.KdqTreeStreaming property)
(menelaus.data_drift.nndvi.NNDVI attribute)
(menelaus.data_drift.nndvi.NNDVI property)
(menelaus.data_drift.pca_cd.PCACD property)
(menelaus.detector.BatchDetector property)
(menelaus.detector.DriftDetector property)
(menelaus.detector.StreamingDetector property)
(menelaus.ensemble.ensemble.BatchEnsemble property)
(menelaus.ensemble.ensemble.StreamingEnsemble property)
DriftDetector (class in menelaus.detector)
E
EDDM (class in menelaus.concept_drift.eddm)
Election (class in menelaus.ensemble.election)
Ensemble (class in menelaus.ensemble.ensemble)
Epsilon (menelaus.data_drift.cdbd.CDBD attribute)
(menelaus.data_drift.hdddm.HDDDM attribute)
(menelaus.data_drift.histogram_density_method.HistogramDensityMethod attribute)
epsilon_values (menelaus.data_drift.cdbd.CDBD attribute)
(menelaus.data_drift.hdddm.HDDDM attribute)
(menelaus.data_drift.histogram_density_method.HistogramDensityMethod attribute)
F
fetch_circle_data() (in module menelaus.datasets.make_example_data)
fetch_rainfall_data() (in module menelaus.datasets.make_example_data)
fill() (menelaus.partitioners.KDQTreePartitioner.KDQTreeNode static method)
(menelaus.partitioners.KDQTreePartitioner.KDQTreePartitioner method)
G
give_oracle_label() (menelaus.concept_drift.md3.MD3 method)
H
HDDDM (class in menelaus.data_drift.hdddm)
HistogramDensityMethod (class in menelaus.data_drift.histogram_density_method)
I
input_type (menelaus.change_detection.cusum.CUSUM attribute)
(menelaus.change_detection.page_hinkley.PageHinkley attribute)
(menelaus.concept_drift.ddm.DDM attribute)
(menelaus.concept_drift.eddm.EDDM attribute)
(menelaus.concept_drift.lfr.LinearFourRates attribute)
(menelaus.concept_drift.md3.MD3 attribute)
(menelaus.concept_drift.stepd.STEPD attribute)
(menelaus.data_drift.cdbd.CDBD attribute)
(menelaus.data_drift.hdddm.HDDDM attribute)
(menelaus.data_drift.histogram_density_method.HistogramDensityMethod attribute)
(menelaus.data_drift.pca_cd.PCACD attribute)
(menelaus.detector.DriftDetector property)
K
k (menelaus.partitioners.NNSpacePartitioner.NNSpacePartitioner attribute)
k_nn (menelaus.data_drift.nndvi.NNDVI attribute)
,
[1]
KdqTreeBatch (class in menelaus.data_drift.kdq_tree)
KdqTreeDetector (class in menelaus.data_drift.kdq_tree)
KDQTreeNode (class in menelaus.partitioners.KDQTreePartitioner)
KDQTreePartitioner (class in menelaus.partitioners.KDQTreePartitioner)
KdqTreeStreaming (class in menelaus.data_drift.kdq_tree)
kl_distance() (menelaus.partitioners.KDQTreePartitioner.KDQTreePartitioner method)
L
lambda (menelaus.data_drift.cdbd.CDBD attribute)
(menelaus.data_drift.hdddm.HDDDM attribute)
leaf_counts() (menelaus.partitioners.KDQTreePartitioner.KDQTreePartitioner method)
leaves (menelaus.partitioners.KDQTreePartitioner.KDQTreePartitioner attribute)
left (menelaus.partitioners.KDQTreePartitioner.KDQTreeNode attribute)
LinearFourRates (class in menelaus.concept_drift.lfr)
M
make_example_batch_data() (in module menelaus.datasets.make_example_data)
MD3 (class in menelaus.concept_drift.md3)
mean() (menelaus.change_detection.adwin.ADWIN method)
(menelaus.concept_drift.adwin_accuracy.ADWINAccuracy method)
menelaus
module
menelaus.change_detection
module
menelaus.change_detection.adwin
module
menelaus.change_detection.cusum
module
menelaus.change_detection.page_hinkley
module
menelaus.concept_drift
module
menelaus.concept_drift.adwin_accuracy
module
menelaus.concept_drift.ddm
module
menelaus.concept_drift.eddm
module
menelaus.concept_drift.lfr
module
menelaus.concept_drift.md3
module
menelaus.concept_drift.stepd
module
menelaus.data_drift
module
menelaus.data_drift.cdbd
module
menelaus.data_drift.hdddm
module
menelaus.data_drift.histogram_density_method
module
menelaus.data_drift.kdq_tree
module
menelaus.data_drift.nndvi
module
menelaus.data_drift.pca_cd
module
menelaus.datasets
module
menelaus.datasets.generator
module
menelaus.datasets.make_example_data
module
menelaus.detector
module
menelaus.ensemble
module
menelaus.ensemble.election
module
menelaus.ensemble.ensemble
module
menelaus.partitioners
module
menelaus.partitioners.KDQTreePartitioner
module
menelaus.partitioners.NNSpacePartitioner
module
midpoint_at_axis (menelaus.partitioners.KDQTreePartitioner.KDQTreeNode attribute)
MinimumApprovalElection (class in menelaus.ensemble.election)
module
menelaus
menelaus.change_detection
menelaus.change_detection.adwin
menelaus.change_detection.cusum
menelaus.change_detection.page_hinkley
menelaus.concept_drift
menelaus.concept_drift.adwin_accuracy
menelaus.concept_drift.ddm
menelaus.concept_drift.eddm
menelaus.concept_drift.lfr
menelaus.concept_drift.md3
menelaus.concept_drift.stepd
menelaus.data_drift
menelaus.data_drift.cdbd
menelaus.data_drift.hdddm
menelaus.data_drift.histogram_density_method
menelaus.data_drift.kdq_tree
menelaus.data_drift.nndvi
menelaus.data_drift.pca_cd
menelaus.datasets
menelaus.datasets.generator
menelaus.datasets.make_example_data
menelaus.detector
menelaus.ensemble
menelaus.ensemble.election
menelaus.ensemble.ensemble
menelaus.partitioners
menelaus.partitioners.KDQTreePartitioner
menelaus.partitioners.NNSpacePartitioner
N
NNDVI (class in menelaus.data_drift.nndvi)
nnps_matrix (menelaus.partitioners.NNSpacePartitioner.NNSpacePartitioner attribute)
NNSpacePartitioner (class in menelaus.partitioners.NNSpacePartitioner)
node (menelaus.partitioners.KDQTreePartitioner.KDQTreePartitioner attribute)
num_feat (menelaus.data_drift.cdbd.CDBD attribute)
(menelaus.data_drift.hdddm.HDDDM attribute)
num_pcs (menelaus.data_drift.pca_cd.PCACD attribute)
num_samples_in_compared_subtrees (menelaus.partitioners.KDQTreePartitioner.KDQTreeNode attribute)
O
OrderedApprovalElection (class in menelaus.ensemble.election)
overall_accuracy() (menelaus.concept_drift.stepd.STEPD method)
P
PageHinkley (class in menelaus.change_detection.page_hinkley)
past_accuracy() (menelaus.concept_drift.stepd.STEPD method)
PCACD (class in menelaus.data_drift.pca_cd)
ph_threshold (menelaus.data_drift.pca_cd.PCACD attribute)
R
recent_accuracy() (menelaus.concept_drift.stepd.STEPD method)
reference_batch (menelaus.data_drift.nndvi.NNDVI attribute)
reference_n (menelaus.data_drift.cdbd.CDBD attribute)
(menelaus.data_drift.hdddm.HDDDM attribute)
(menelaus.data_drift.histogram_density_method.HistogramDensityMethod attribute)
reset() (menelaus.change_detection.adwin.ADWIN method)
(menelaus.change_detection.cusum.CUSUM method)
(menelaus.change_detection.page_hinkley.PageHinkley method)
(menelaus.concept_drift.adwin_accuracy.ADWINAccuracy method)
(menelaus.concept_drift.ddm.DDM method)
(menelaus.concept_drift.eddm.EDDM method)
(menelaus.concept_drift.lfr.LinearFourRates method)
(menelaus.concept_drift.md3.MD3 method)
(menelaus.concept_drift.stepd.STEPD method)
(menelaus.data_drift.cdbd.CDBD method)
(menelaus.data_drift.hdddm.HDDDM method)
(menelaus.data_drift.histogram_density_method.HistogramDensityMethod method)
(menelaus.data_drift.kdq_tree.KdqTreeBatch method)
(menelaus.data_drift.kdq_tree.KdqTreeDetector method)
(menelaus.data_drift.kdq_tree.KdqTreeStreaming method)
(menelaus.data_drift.nndvi.NNDVI method)
(menelaus.data_drift.pca_cd.PCACD method)
(menelaus.detector.BatchDetector method)
(menelaus.detector.DriftDetector method)
(menelaus.detector.StreamingDetector method)
(menelaus.ensemble.ensemble.BatchEnsemble method)
(menelaus.ensemble.ensemble.Ensemble method)
(menelaus.ensemble.ensemble.StreamingEnsemble method)
(menelaus.partitioners.KDQTreePartitioner.KDQTreeNode static method)
(menelaus.partitioners.KDQTreePartitioner.KDQTreePartitioner method)
retraining_recs (menelaus.change_detection.adwin.ADWIN property)
(menelaus.concept_drift.adwin_accuracy.ADWINAccuracy property)
(menelaus.concept_drift.ddm.DDM property)
(menelaus.concept_drift.eddm.EDDM property)
(menelaus.concept_drift.lfr.LinearFourRates property)
(menelaus.concept_drift.stepd.STEPD property)
right (menelaus.partitioners.KDQTreePartitioner.KDQTreeNode attribute)
S
samples_since_reset (menelaus.change_detection.adwin.ADWIN property)
(menelaus.change_detection.cusum.CUSUM property)
(menelaus.change_detection.page_hinkley.PageHinkley property)
(menelaus.concept_drift.adwin_accuracy.ADWINAccuracy property)
(menelaus.concept_drift.ddm.DDM property)
(menelaus.concept_drift.eddm.EDDM property)
(menelaus.concept_drift.lfr.LinearFourRates property)
(menelaus.concept_drift.stepd.STEPD property)
(menelaus.data_drift.kdq_tree.KdqTreeStreaming property)
(menelaus.data_drift.nndvi.NNDVI attribute)
(menelaus.data_drift.pca_cd.PCACD property)
(menelaus.detector.StreamingDetector property)
(menelaus.ensemble.ensemble.StreamingEnsemble property)
sampling_times (menelaus.data_drift.nndvi.NNDVI attribute)
,
[1]
set_reference() (menelaus.concept_drift.md3.MD3 method)
(menelaus.data_drift.cdbd.CDBD method)
(menelaus.data_drift.hdddm.HDDDM method)
(menelaus.data_drift.histogram_density_method.HistogramDensityMethod method)
(menelaus.data_drift.kdq_tree.KdqTreeBatch method)
(menelaus.data_drift.nndvi.NNDVI method)
(menelaus.detector.BatchDetector method)
(menelaus.ensemble.ensemble.BatchEnsemble method)
SimpleMajorityElection (class in menelaus.ensemble.election)
step (menelaus.data_drift.pca_cd.PCACD attribute)
STEPD (class in menelaus.concept_drift.stepd)
StreamingDetector (class in menelaus.detector)
StreamingEnsemble (class in menelaus.ensemble.ensemble)
T
thresholds (menelaus.data_drift.cdbd.CDBD attribute)
(menelaus.data_drift.hdddm.HDDDM attribute)
(menelaus.data_drift.histogram_density_method.HistogramDensityMethod attribute)
to_dataframe() (menelaus.change_detection.page_hinkley.PageHinkley method)
to_plotly_dataframe() (menelaus.data_drift.kdq_tree.KdqTreeBatch method)
(menelaus.data_drift.kdq_tree.KdqTreeDetector method)
(menelaus.data_drift.kdq_tree.KdqTreeStreaming method)
(menelaus.partitioners.KDQTreePartitioner.KDQTreePartitioner method)
total_batches (menelaus.data_drift.cdbd.CDBD property)
(menelaus.data_drift.hdddm.HDDDM property)
(menelaus.data_drift.histogram_density_method.HistogramDensityMethod property)
(menelaus.data_drift.kdq_tree.KdqTreeBatch property)
(menelaus.data_drift.nndvi.NNDVI property)
(menelaus.detector.BatchDetector property)
(menelaus.ensemble.ensemble.BatchEnsemble property)
total_epsilon (menelaus.data_drift.cdbd.CDBD attribute)
(menelaus.data_drift.hdddm.HDDDM attribute)
(menelaus.data_drift.histogram_density_method.HistogramDensityMethod attribute)
total_samples (menelaus.change_detection.adwin.ADWIN property)
(menelaus.change_detection.cusum.CUSUM property)
(menelaus.change_detection.page_hinkley.PageHinkley property)
(menelaus.concept_drift.adwin_accuracy.ADWINAccuracy property)
(menelaus.concept_drift.ddm.DDM property)
(menelaus.concept_drift.eddm.EDDM property)
(menelaus.concept_drift.lfr.LinearFourRates property)
(menelaus.concept_drift.stepd.STEPD property)
(menelaus.data_drift.kdq_tree.KdqTreeStreaming property)
(menelaus.data_drift.nndvi.NNDVI attribute)
(menelaus.data_drift.pca_cd.PCACD property)
(menelaus.detector.StreamingDetector property)
(menelaus.ensemble.ensemble.StreamingEnsemble property)
total_updates (menelaus.concept_drift.md3.MD3 property)
(menelaus.detector.DriftDetector property)
U
update() (menelaus.change_detection.adwin.ADWIN method)
(menelaus.change_detection.cusum.CUSUM method)
(menelaus.change_detection.page_hinkley.PageHinkley method)
(menelaus.concept_drift.adwin_accuracy.ADWINAccuracy method)
(menelaus.concept_drift.ddm.DDM method)
(menelaus.concept_drift.eddm.EDDM method)
(menelaus.concept_drift.lfr.LinearFourRates method)
(menelaus.concept_drift.md3.MD3 method)
(menelaus.concept_drift.stepd.STEPD method)
(menelaus.data_drift.cdbd.CDBD method)
(menelaus.data_drift.hdddm.HDDDM method)
(menelaus.data_drift.histogram_density_method.HistogramDensityMethod method)
(menelaus.data_drift.kdq_tree.KdqTreeBatch method)
(menelaus.data_drift.kdq_tree.KdqTreeStreaming method)
(menelaus.data_drift.nndvi.NNDVI method)
(menelaus.data_drift.pca_cd.PCACD method)
(menelaus.detector.BatchDetector method)
(menelaus.detector.DriftDetector method)
(menelaus.detector.StreamingDetector method)
(menelaus.ensemble.ensemble.BatchEnsemble method)
(menelaus.ensemble.ensemble.Ensemble method)
(menelaus.ensemble.ensemble.StreamingEnsemble method)
updates_since_reset (menelaus.concept_drift.md3.MD3 property)
(menelaus.detector.DriftDetector property)
V
v1 (menelaus.partitioners.NNSpacePartitioner.NNSpacePartitioner attribute)
v2 (menelaus.partitioners.NNSpacePartitioner.NNSpacePartitioner attribute)
variance() (menelaus.change_detection.adwin.ADWIN method)
(menelaus.concept_drift.adwin_accuracy.ADWINAccuracy method)
X
X (menelaus.data_drift.nndvi.NNDVI attribute)
Y
y_pred (menelaus.data_drift.nndvi.NNDVI attribute)
y_true (menelaus.data_drift.nndvi.NNDVI attribute)
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