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We are trying to support SM algorithms, where the user has multiple channels of processed data in S3 that is ready. The plan is to create a AmazonS3BaseEstimator class that will inherit from AmazonBaseEstimator class and will overwrite the record_set method. In this method, we will return a list of RecordSet objects. The _TrainingJob class already works with a dictionary of multiple channels of data. Therefore, we will overwrite the fit method in our class with data element being a dictionary of multiple channels of record objects.
User will have to supply in their fit call, a list of S3 uri's.
Thanks,
R
The text was updated successfully, but these errors were encountered:
ragavvenkatesan
changed the title
RecordSet modification required for SM 1P algorithms to support multiple channels directly from S3
Support processing datasets from S3 directly which have already been processed in the desired format
Jan 12, 2018
Hi,
We are trying to support SM algorithms, where the user has multiple channels of processed data in S3 that is ready. The plan is to create a
AmazonS3BaseEstimator
class that will inherit fromAmazonBaseEstimator
class and will overwrite therecord_set
method. In this method, we will return a list ofRecordSet
objects. The_TrainingJob
class already works with a dictionary of multiple channels of data. Therefore, we will overwrite thefit
method in our class withdata
element being a dictionary of multiple channels ofrecord
objects.User will have to supply in their
fit
call, a list of S3 uri's.Thanks,
R
The text was updated successfully, but these errors were encountered: