/AWS1/CL_CRLMDELTRNDATACHANNEL¶
Information about the model training data channel. A training data channel is a named data source that the training algorithms can consume.
CONSTRUCTOR¶
IMPORTING¶
Required arguments:¶
iv_mlinputchannelarn TYPE /AWS1/CRLMLINPUTCHANNELARN /AWS1/CRLMLINPUTCHANNELARN¶
The Amazon Resource Name (ARN) of the ML input channel for this model training data channel.
iv_channelname TYPE /AWS1/CRLMDELTRNDATACHANNELN00 /AWS1/CRLMDELTRNDATACHANNELN00¶
The name of the training data channel.
Optional arguments:¶
iv_s3datadistributiontype TYPE /AWS1/CRLS3DATADISTRIBTYPE /AWS1/CRLS3DATADISTRIBTYPE¶
Specifies how the training data stored in Amazon S3 should be distributed to training instances. This parameter controls the data distribution strategy for the training job:
FullyReplicated- The entire dataset is replicated on each training instance. This is suitable for smaller datasets and algorithms that require access to the complete dataset.
ShardedByS3Key- The dataset is distributed across training instances based on Amazon S3 key names. This is suitable for larger datasets and distributed training scenarios where each instance processes a subset of the data.
Queryable Attributes¶
mlInputChannelArn¶
The Amazon Resource Name (ARN) of the ML input channel for this model training data channel.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_MLINPUTCHANNELARN() |
Getter for MLINPUTCHANNELARN, with configurable default |
ASK_MLINPUTCHANNELARN() |
Getter for MLINPUTCHANNELARN w/ exceptions if field has no v |
HAS_MLINPUTCHANNELARN() |
Determine if MLINPUTCHANNELARN has a value |
channelName¶
The name of the training data channel.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_CHANNELNAME() |
Getter for CHANNELNAME, with configurable default |
ASK_CHANNELNAME() |
Getter for CHANNELNAME w/ exceptions if field has no value |
HAS_CHANNELNAME() |
Determine if CHANNELNAME has a value |
s3DataDistributionType¶
Specifies how the training data stored in Amazon S3 should be distributed to training instances. This parameter controls the data distribution strategy for the training job:
FullyReplicated- The entire dataset is replicated on each training instance. This is suitable for smaller datasets and algorithms that require access to the complete dataset.
ShardedByS3Key- The dataset is distributed across training instances based on Amazon S3 key names. This is suitable for larger datasets and distributed training scenarios where each instance processes a subset of the data.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_S3DATADISTRIBUTIONTYPE() |
Getter for S3DATADISTRIBUTIONTYPE, with configurable default |
ASK_S3DATADISTRIBUTIONTYPE() |
Getter for S3DATADISTRIBUTIONTYPE w/ exceptions if field has |
HAS_S3DATADISTRIBUTIONTYPE() |
Determine if S3DATADISTRIBUTIONTYPE has a value |
Public Local Types In This Class¶
Internal table types, representing arrays and maps of this class, are defined as local types:
TT_MODELTRAININGDATACHANNELS¶
TYPES TT_MODELTRAININGDATACHANNELS TYPE STANDARD TABLE OF REF TO /AWS1/CL_CRLMDELTRNDATACHANNEL WITH DEFAULT KEY
.