Channel¶
-
class
aws_cdk.aws_stepfunctions_tasks.
Channel
(*, channel_name, data_source, compression_type=None, content_type=None, input_mode=None, record_wrapper_type=None, shuffle_config=None)¶ Bases:
object
(experimental) Describes the training, validation or test dataset and the Amazon S3 location where it is stored.
- Parameters
channel_name (
str
) – (experimental) Name of the channel.data_source (
DataSource
) – (experimental) Location of the channel data.compression_type (
Optional
[CompressionType
]) – (experimental) Compression type if training data is compressed. Default: - Nonecontent_type (
Optional
[str
]) – (experimental) The MIME type of the data. Default: - Noneinput_mode (
Optional
[InputMode
]) – (experimental) Input mode to use for the data channel in a training job. Default: - Nonerecord_wrapper_type (
Optional
[RecordWrapperType
]) – (experimental) Specify RecordIO as the value when input data is in raw format but the training algorithm requires the RecordIO format. In this case, Amazon SageMaker wraps each individual S3 object in a RecordIO record. If the input data is already in RecordIO format, you don’t need to set this attribute. Default: - Noneshuffle_config (
Optional
[ShuffleConfig
]) – (experimental) Shuffle config option for input data in a channel. Default: - None
- Stability
experimental
Attributes
-
channel_name
¶ (experimental) Name of the channel.
- Stability
experimental
- Return type
str
-
compression_type
¶ (experimental) Compression type if training data is compressed.
- Default
None
- Stability
experimental
- Return type
Optional
[CompressionType
]
-
content_type
¶ (experimental) The MIME type of the data.
- Default
None
- Stability
experimental
- Return type
Optional
[str
]
-
data_source
¶ (experimental) Location of the channel data.
- Stability
experimental
- Return type
-
input_mode
¶ (experimental) Input mode to use for the data channel in a training job.
- Default
None
- Stability
experimental
- Return type
Optional
[InputMode
]
-
record_wrapper_type
¶ (experimental) Specify RecordIO as the value when input data is in raw format but the training algorithm requires the RecordIO format.
In this case, Amazon SageMaker wraps each individual S3 object in a RecordIO record. If the input data is already in RecordIO format, you don’t need to set this attribute.
- Default
None
- Stability
experimental
- Return type
Optional
[RecordWrapperType
]
-
shuffle_config
¶ (experimental) Shuffle config option for input data in a channel.
- Default
None
- Stability
experimental
- Return type
Optional
[ShuffleConfig
]