gluonts.shell.sagemaker.train module#

class gluonts.shell.sagemaker.train.DataConfig(*, ContentType: Optional[str] = None, TrainingInputMode: Optional[str] = None, S3DistributionType: Optional[str] = None, RecordWrapperType: Optional[str] = None)[source]#

Bases: pydantic.v1.main.BaseModel

ContentType: Optional[str]#

RecordWrapperType: Optional[str]#

S3DistributionType: Optional[str]#

TrainingInputMode: Optional[str]#

class gluonts.shell.sagemaker.train.InpuDataConfig(*, __root__: Dict[str, gluonts.shell.sagemaker.train.DataConfig])[source]#

Bases: pydantic.v1.main.BaseModel

channel_names()[source]#

channels()[source]#

class gluonts.shell.sagemaker.train.TrainEnv(path: pathlib.Path = PosixPath('/opt/ml'))[source]#

Bases: object

copy_code_to_model()[source]#

install_dynamic()[source]#

class gluonts.shell.sagemaker.train.TrainPaths(base: pathlib.Path = PosixPath('/opt/ml'))[source]#: Bases: object