TrendMiner Python Experimental
trendminer_experimental package
TrendMiner Python Experimental
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Index
Index
A
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D
|
F
|
G
|
M
|
N
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P
|
S
|
T
|
W
A
anomaly_detection_container (trendminer_experimental.anomaly_detection.model.TMAnomalyDetectionModelParameters attribute)
D
DuplicateVariableNamesException
F
filtered_codebook (trendminer_experimental.anomaly_detection.model.TMAnomalyDetectionModelParameters attribute)
fit() (trendminer_experimental.anomaly_detection.model.TMAnomalyModel method)
G
get_params() (trendminer_experimental.anomaly_detection.model.TMAnomalyModel method)
M
mean_of_train_data (trendminer_experimental.anomaly_detection.model.TMAnomalyDetectionModelParameters attribute)
module
trendminer_experimental
trendminer_experimental.anomaly_detection
trendminer_experimental.anomaly_detection.exceptions
trendminer_experimental.anomaly_detection.model
N
normalized_train_data (trendminer_experimental.anomaly_detection.model.TMAnomalyDetectionModelParameters attribute)
NotFittedException
P
predict() (trendminer_experimental.anomaly_detection.model.TMAnomalyModel method)
S
score_samples() (trendminer_experimental.anomaly_detection.model.TMAnomalyModel method)
sd_of_train_data (trendminer_experimental.anomaly_detection.model.TMAnomalyDetectionModelParameters attribute)
T
TMAnomalyDetectionModelParameters (class in trendminer_experimental.anomaly_detection.model)
TMAnomalyModel (class in trendminer_experimental.anomaly_detection.model)
to_pmml() (trendminer_experimental.anomaly_detection.model.TMAnomalyModel method)
trendminer_experimental
module
trendminer_experimental.anomaly_detection
module
trendminer_experimental.anomaly_detection.exceptions
module
trendminer_experimental.anomaly_detection.model
module
W
WrongNumberOfDimensionsException
WrongNumberOfVariableNamesException
WrongValueForThresholdException