| FileSystemRecordSet | R Documentation | 
Amazon SageMaker channel configuration for a file system data source for Amazon algorithms.
feature_dimThe dimensionality of "values" arrays in the Record features
num_recordsThe number of records in the set
channelThe SageMaker Training Job channel this RecordSet should be bound to
new()Initialize a “FileSystemRecordSet“ object.
FileSystemRecordSet$new( file_system_id, file_system_type, directory_path, num_records, feature_dim, file_system_access_mode = "ro", channel = "train" )
file_system_id(str): An Amazon file system ID starting with 'fs-'.
file_system_type(str): The type of file system used for the input. Valid values: 'EFS', 'FSxLustre'.
directory_path(str): Absolute or normalized path to the root directory (mount point) in the file system. Reference: https://docs.aws.amazon.com/efs/latest/ug/mounting-fs.html and https://docs.aws.amazon.com/efs/latest/ug/wt1-test.html
num_records(int): The number of records in the set.
feature_dim(int): The dimensionality of "values" arrays in the Record features, and label (if each Record is labeled).
file_system_access_mode(str): Permissions for read and write. Valid values: 'ro' or 'rw'. Defaults to 'ro'.
channel(str): The SageMaker Training Job channel this RecordSet should be bound to
print()Return an unambiguous representation of this RecordSet
Return an unambiguous representation of this RecordSet
FileSystemRecordSet$print()
data_channel()Return a dictionary to represent the training data in a channel for use with “fit()“
FileSystemRecordSet$data_channel()
clone()The objects of this class are cloneable with this method.
FileSystemRecordSet$clone(deep = FALSE)
deepWhether to make a deep clone.
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