Partitioner#

class Partitioner[source]#

Bases: ABC

The base partitioner class that enables obtaining federated partitions.

The initialization is intended to take all necessary arguments such that the call to the load_partition method can be used in the same way for all partitioners.

Methods

`is_dataset_assigned`()	Check if a dataset has been assigned to the partitioner.
`load_partition`(partition_id)	Load a single partition based on the partition index.

Attributes

`dataset`	Dataset property.
`num_partitions`	Total number of partitions.

property dataset: Dataset#: Dataset property.

is_dataset_assigned() → bool[source]#

Check if a dataset has been assigned to the partitioner.

This method returns True if a dataset is already set for the partitioner, otherwise, it returns False.

Returns:: dataset_assigned – True if a dataset is assigned, otherwise False.
Return type:: bool

abstract load_partition(partition_id: int) → Dataset[source]#

Load a single partition based on the partition index.

Parameters:: partition_id (int) – the index that corresponds to the requested partition
Returns:: dataset_partition – single dataset partition
Return type:: Dataset

abstract property num_partitions: int#: Total number of partitions.