RealSeries
latest
Getting Started
Installation
Examples
IsolationForest Example
Pytorch basded Neural Network Example
Series and Label Visualize Example
Granger causality Example
Industrial demo
Simulation demo
VAE for anomaly detection Example
Documentation
API Cheetsheet
Model
Data
Visualize
API Reference
All Models
realseries.models.AR module
realseries.models.DWGC module
realseries.models.GC module
realseries.models.NAR module
realseries.models.base module
realseries.models.iforest module
realseries.models.lstm_dynamic module
realseries.models.lumino module
realseries.models.rcforest module
realseries.models.rnn module
realseries.models.seqvl module
realseries.models.sr module
realseries.models.srcnn module
realseries.models.stl module
realseries.models.vae_ad module
realseries.models.vae_dense module
realseries.models.crmmd module
realseries.models.hnn module
realseries.models.mc_dropout module
Utility Functions
realseries.utils.data module
realseries.utils.dataset module
realseries.utils.errors module
realseries.utils.evaluation module
realseries.utils.preprocess module
realseries.utils.segment module
realseries.utils.utility module
realseries.utils.visualize module
Time Series Datasets
Forecast Datasets
Anomaly Detection Datasets
Granger causality Datasets
RealSeries 101
Anomaly Detection
Problem Description
Models
Granger causality
Problem Description of Granger causality
Models of Granger causality
Forecast with Uncertainty
Problem Description
Models
Contribution
Contribution
How to Contribute
RealSeries
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Index
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Index
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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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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V
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X
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Y
A
adjust_metrics() (in module realseries.utils.evaluation)
adjust_predicts() (in module realseries.utils.evaluation)
aleatoric_loss (class in realseries.utils.utility)
anomaly_score (realseries.models.iforest.IForest attribute)
AR (class in realseries.models.AR)
augmentation() (in module realseries.utils.preprocess)
B
bandpass_cnt() (in module realseries.utils.preprocess)
baseline_oneday() (in module realseries.utils.evaluation)
baseline_threeday() (in module realseries.utils.evaluation)
BaseModel (class in realseries.models.base)
BatchSegment (class in realseries.utils.segment)
C
calc_seasonal() (realseries.models.stl.STL static method)
calc_trend() (realseries.models.stl.STL static method)
CRMMD (class in realseries.models.crmmd)
D
Data (class in realseries.utils.dataset)
data2supervised() (realseries.utils.dataset.Data method)
data_iterator() (realseries.utils.dataset.Data method)
data_to_seqvl_format() (realseries.utils.dataset.Data method)
detect() (realseries.models.AR.AR method)
(realseries.models.base.BaseModel method)
(realseries.models.DWGC.DWGC method)
(realseries.models.GC.GC method)
(realseries.models.iforest.IForest method)
(realseries.models.lstm_dynamic.LSTM_dynamic method)
(realseries.models.lumino.Lumino method)
(realseries.models.NAR.NAR_Network method)
(realseries.models.rcforest.RCForest method)
(realseries.models.rnn.LSTMED method)
(realseries.models.seqvl.SeqVL method)
(realseries.models.sr.SpectralResidual method)
(realseries.models.srcnn.SR_CNN method)
(realseries.models.stl.STL method)
(realseries.models.vae_ad.VAE_AD method)
(realseries.models.vae_dense.VAE_Dense method)
drift() (realseries.models.stl.STL static method)
DWGC (class in realseries.models.DWGC)
E
EarlyStopping (class in realseries.utils.utility)
estimators_ (realseries.models.iforest.IForest attribute)
(realseries.models.iforest.IForest property)
estimators_samples_ (realseries.models.iforest.IForest attribute)
(realseries.models.iforest.IForest property)
evaluate() (in module realseries.utils.evaluation)
evaluation_model() (realseries.models.crmmd.CRMMD method)
(realseries.models.hnn.HNN method)
(realseries.models.mc_dropout.MC_dropout method)
exponential_running_demean() (in module realseries.utils.preprocess)
exponential_running_standardize() (in module realseries.utils.preprocess)
extend_series() (realseries.models.sr.SpectralResidual static method)
F
filter_is_stable() (in module realseries.utils.preprocess)
fit() (realseries.models.AR.AR method)
(realseries.models.base.BaseModel method)
(realseries.models.crmmd.CRMMD method)
(realseries.models.DWGC.DWGC method)
(realseries.models.GC.GC method)
(realseries.models.hnn.HNN method)
(realseries.models.iforest.IForest method)
(realseries.models.lstm_dynamic.LSTM_dynamic method)
(realseries.models.lumino.Lumino method)
(realseries.models.mc_dropout.MC_dropout method)
(realseries.models.NAR.NAR_Network method)
(realseries.models.rcforest.RCForest method)
(realseries.models.rnn.LSTMED method)
(realseries.models.seqvl.SeqVL method)
(realseries.models.sr.SpectralResidual method)
(realseries.models.srcnn.SR_CNN method)
(realseries.models.stl.STL method)
(realseries.models.vae_ad.VAE_AD method)
(realseries.models.vae_dense.VAE_Dense method)
flatten() (realseries.models.vae_dense.VAE_Dense method)
forecast() (realseries.models.base.BaseModel method)
(realseries.models.crmmd.CRMMD method)
(realseries.models.hnn.HNN method)
(realseries.models.mc_dropout.MC_dropout method)
(realseries.models.stl.STL method)
(realseries.models.vae_ad.VAE_AD method)
(realseries.models.vae_dense.VAE_Dense method)
forward() (realseries.utils.utility.aleatoric_loss method)
(realseries.utils.utility.mmd_loss method)
G
gaussian_kernel_matrix() (realseries.utils.utility.mmd_loss method)
GC (class in realseries.models.GC)
generate_arma_data() (in module realseries.utils.data)
generate_spectral_score() (realseries.models.sr.SpectralResidual method)
get_errors() (in module realseries.utils.errors)
get_iterator() (realseries.utils.segment.BatchSegment method)
H
highpass_cnt() (in module realseries.utils.preprocess)
HNN (class in realseries.models.hnn)
I
IF (realseries.models.iforest.IForest attribute)
IForest (class in realseries.models.iforest)
impute() (realseries.models.base.BaseModel method)
L
load() (realseries.models.base.BaseModel method)
(realseries.models.vae_ad.VAE_AD method)
(realseries.models.vae_dense.VAE_Dense method)
load_data() (realseries.utils.dataset.Data method)
load_exp_data() (in module realseries.utils.data)
load_model() (in module realseries.utils.utility)
(realseries.models.crmmd.CRMMD method)
(realseries.models.hnn.HNN method)
(realseries.models.mc_dropout.MC_dropout method)
load_NAB() (in module realseries.utils.data)
load_SMD() (in module realseries.utils.data)
load_split_NASA() (in module realseries.utils.data)
load_splitted_RNN() (in module realseries.utils.data)
load_Yahoo() (in module realseries.utils.data)
load_yahoo() (realseries.utils.dataset.Data method)
loss (realseries.utils.utility.aleatoric_loss attribute)
loss_value (realseries.utils.utility.mmd_loss attribute)
lowpass_cnt() (in module realseries.utils.preprocess)
LSTM_dynamic (class in realseries.models.lstm_dynamic)
LSTMED (class in realseries.models.rnn)
Lumino (class in realseries.models.lumino)
M
mat_plot() (in module realseries.utils.visualize)
max_samples_ (realseries.models.iforest.IForest attribute)
(realseries.models.iforest.IForest property)
maximum_mean_discrepancy() (realseries.utils.utility.mmd_loss method)
MC_dropout (class in realseries.models.mc_dropout)
mean() (realseries.models.stl.STL static method)
mmd_loss (class in realseries.utils.utility)
model (realseries.models.crmmd.CRMMD attribute)
,
[1]
(realseries.models.hnn.HNN attribute)
,
[1]
(realseries.models.lstm_dynamic.LSTM_dynamic attribute)
(realseries.models.mc_dropout.MC_dropout attribute)
,
[1]
(realseries.models.rnn.LSTMED attribute)
(realseries.models.srcnn.SR_CNN attribute)
(realseries.models.vae_ad.VAE_AD attribute)
(realseries.models.vae_dense.VAE_Dense attribute)
module
realseries.models.AR
realseries.models.base
realseries.models.crmmd
realseries.models.DWGC
realseries.models.GC
realseries.models.hnn
realseries.models.iforest
realseries.models.lstm_dynamic
realseries.models.lumino
realseries.models.mc_dropout
realseries.models.NAR
realseries.models.rcforest
realseries.models.rnn
realseries.models.seqvl
realseries.models.sr
realseries.models.srcnn
realseries.models.stl
realseries.models.vae_ad
realseries.models.vae_dense
realseries.utils.data
realseries.utils.dataset
realseries.utils.errors
realseries.utils.evaluation
realseries.utils.preprocess
realseries.utils.segment
realseries.utils.utility
realseries.utils.visualize
N
naive() (realseries.models.stl.STL static method)
NAR_Network (class in realseries.models.NAR)
normalization() (in module realseries.utils.preprocess)
normalize() (realseries.utils.dataset.Data method)
O
obtain_anomaly() (realseries.models.lstm_dynamic.LSTM_dynamic static method)
P
pairwise_distance() (realseries.utils.utility.mmd_loss method)
pd_plot() (in module realseries.utils.visualize)
plot_anom() (in module realseries.utils.visualize)
plot_mne() (in module realseries.utils.visualize)
point_metrics() (in module realseries.utils.evaluation)
predict() (realseries.models.lstm_dynamic.LSTM_dynamic method)
(realseries.models.vae_ad.VAE_AD method)
(realseries.models.vae_dense.VAE_Dense method)
predict_next() (realseries.models.sr.SpectralResidual static method)
process_errors() (in module realseries.utils.errors)
R
RCForest (class in realseries.models.rcforest)
realseries.models.AR
module
realseries.models.base
module
realseries.models.crmmd
module
realseries.models.DWGC
module
realseries.models.GC
module
realseries.models.hnn
module
realseries.models.iforest
module
realseries.models.lstm_dynamic
module
realseries.models.lumino
module
realseries.models.mc_dropout
module
realseries.models.NAR
module
realseries.models.rcforest
module
realseries.models.rnn
module
realseries.models.seqvl
module
realseries.models.sr
module
realseries.models.srcnn
module
realseries.models.stl
module
realseries.models.vae_ad
module
realseries.models.vae_dense
module
realseries.utils.data
module
realseries.utils.dataset
module
realseries.utils.errors
module
realseries.utils.evaluation
module
realseries.utils.preprocess
module
realseries.utils.segment
module
realseries.utils.utility
module
realseries.utils.visualize
module
reform() (realseries.models.vae_dense.VAE_Dense method)
reshape_for_test() (realseries.models.seqvl.SeqVL method)
reshape_for_training() (realseries.models.seqvl.SeqVL method)
S
save() (realseries.models.base.BaseModel method)
(realseries.models.vae_ad.VAE_AD method)
(realseries.models.vae_dense.VAE_Dense method)
save_checkpoint() (realseries.utils.utility.EarlyStopping method)
save_model() (in module realseries.utils.utility)
(realseries.models.crmmd.CRMMD method)
(realseries.models.hnn.HNN method)
(realseries.models.mc_dropout.MC_dropout method)
SeqVL (class in realseries.models.seqvl)
slice_generator() (in module realseries.utils.segment)
spectral_residual_transform() (realseries.models.sr.SpectralResidual method)
SpectralResidual (class in realseries.models.sr)
SR_CNN (class in realseries.models.srcnn)
standardization() (in module realseries.utils.preprocess)
STL (class in realseries.models.stl)
T
thres_search() (in module realseries.utils.evaluation)
training (realseries.utils.utility.aleatoric_loss attribute)
(realseries.utils.utility.mmd_loss attribute)
V
VAE_AD (class in realseries.models.vae_ad)
VAE_Dense (class in realseries.models.vae_dense)
X
X_train (realseries.models.AR.AR attribute)
Y
y_hat (realseries.models.lstm_dynamic.LSTM_dynamic attribute)
y_test (realseries.models.lstm_dynamic.LSTM_dynamic attribute)
Y_train (realseries.models.AR.AR attribute)
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