pyanomaly.core.engine.functions package¶

Submodules¶

pyanomaly.core.engine.functions.amc module¶

@author: Yuhao Cheng @contact: yuhao.cheng[at]outlook.com

class pyanomaly.core.engine.functions.amc.AMCInference(*defaults, **kwargs)¶

Bases: pyanomaly.core.engine.abstract.base_engine.BaseInference

NAME = ['AMC.INFERENCE']¶

inference()¶

class pyanomaly.core.engine.functions.amc.AMCTrainer(*defaults, **kwargs)¶

Bases: pyanomaly.core.engine.abstract.base_engine.BaseTrainer

NAME = ['AMC.TRAIN']¶

custom_setup()¶

train(current_step)¶: the single step of training the model

pyanomaly.core.engine.functions.anopcn module¶

@author: Yuhao Cheng @contact: yuhao.cheng[at]outlook.com

class pyanomaly.core.engine.functions.anopcn.ANOPCNInference(*defaults, **kwargs)¶

Bases: pyanomaly.core.engine.abstract.base_engine.BaseInference

NAME = ['ANOPCN.INFERENCE']¶

inference()¶

class pyanomaly.core.engine.functions.anopcn.ANOPCNTrainer(*defaults, **kwargs)¶

Bases: pyanomaly.core.engine.abstract.base_engine.BaseTrainer

NAME = ['ANOPCN.TRAIN']¶

custom_setup()¶

train(current_step)¶: the single step of training the model

train_erm(current_step)¶

train_pcm(current_step)¶

pyanomaly.core.engine.functions.anopred module¶

@author: Yuhao Cheng @contact: yuhao.cheng[at]outlook.com

class pyanomaly.core.engine.functions.anopred.ANOPREDInference(*defaults, **kwargs)¶

Bases: pyanomaly.core.engine.abstract.base_engine.BaseInference

NAME = ['ANOPRED.INFERENCE']¶

inference()¶

class pyanomaly.core.engine.functions.anopred.ANOPREDTrainer(*defaults, **kwargs)¶

Bases: pyanomaly.core.engine.abstract.base_engine.BaseTrainer

NAME = ['ANOPRED.TRAIN']¶

custom_setup()¶

train(current_step)¶: the single step of training the model

pyanomaly.core.engine.functions.memae module¶

@author: Yuhao Cheng @contact: yuhao.cheng[at]outlook.com

class pyanomaly.core.engine.functions.memae.MEMAEInference(*defaults, **kwargs)¶

Bases: pyanomaly.core.engine.abstract.base_engine.BaseInference

NAME = ['MEMAE.INFERENCE']¶

inference()¶

class pyanomaly.core.engine.functions.memae.MEMAETrainer(*defaults, **kwargs)¶

Bases: pyanomaly.core.engine.abstract.base_engine.BaseTrainer

NAME = ['MEMAE.TRAIN']¶

custom_setup()¶

train(current_step)¶: the single step of training the model

pyanomaly.core.engine.functions.ocae module¶

@author: Yuhao Cheng @contact: yuhao.cheng[at]outlook.com

class pyanomaly.core.engine.functions.ocae.OCAEInference(*defaults, **kwargs)¶

Bases: pyanomaly.core.engine.abstract.base_engine.BaseInference

NAME = ['OCAE.INFERENCE']¶

custom_setup()¶

inference()¶

class pyanomaly.core.engine.functions.ocae.OCAETrainer(*defaults, **kwargs)¶

Bases: pyanomaly.core.engine.abstract.base_engine.BaseTrainer

NAME = ['OCAE.TRAIN']¶

custom_setup()¶

train(current_step)¶: the single step of training the model

pyanomaly.core.engine.functions.stae module¶

@author: Yuhao Cheng @contact: yuhao.cheng[at]outlook.com

class pyanomaly.core.engine.functions.stae.STAEInference(*defaults, **kwargs)¶

Bases: pyanomaly.core.engine.abstract.base_engine.BaseInference

NAME = ['STAE.INFERENCE']¶

inference()¶

class pyanomaly.core.engine.functions.stae.STAETrainer(*defaults, **kwargs)¶

Bases: pyanomaly.core.engine.abstract.base_engine.BaseTrainer

NAME = ['STAE.TRAIN']¶

custom_setup()¶

train(current_step)¶: the single step of training the model

Module contents¶

@author: Yuhao Cheng @contact: yuhao.cheng[at]outlook.com