partitioner

Flower Datasets Partitioner package.

Classes

DirichletPartitioner(num_partitions, ...[, ...])	Partitioner based on Dirichlet distribution.
DistributionPartitioner(distribution_array, ...)	Partitioner based on a distribution.
ExponentialPartitioner(num_partitions)	Partitioner creates partitions of size that are correlated with exp(id).
GroupedNaturalIdPartitioner(partition_by, ...)	Partition dataset by creating groups of natural ids.
IdToSizeFncPartitioner(num_partitions, ...)	Base class for the deterministic size partitioning based on the partition_id.
IidPartitioner(num_partitions)	Partitioner creates each partition sampled randomly from the dataset.
InnerDirichletPartitioner(partition_sizes, ...)	Partitioner based on Dirichlet distribution.
LinearPartitioner(num_partitions)	Partitioner creates partitions of size that are linearly correlated with id.
NaturalIdPartitioner(partition_by)	Partitioner for a dataset that can be divided by a column with partition ids.
Partitioner()	The base partitioner class that enables obtaining federated partitions.
PathologicalPartitioner(num_partitions, ...)	Partition dataset such that each partition has a chosen number of classes.
ShardPartitioner(num_partitions, partition_by)	Partitioner based on shard of (typically) unique classes.
SizePartitioner(partition_sizes)	Partitioner that creates each partition with the size specified by a user.
SquarePartitioner(num_partitions)	Partitioner creates partitions of size that are correlated with squared id.
VerticalEvenPartitioner(num_partitions[, ...])	Partitioner that splits features (columns) evenly into vertical partitions.
VerticalSizePartitioner(partition_sizes[, ...])	Creates vertical partitions by spliting features (columns) based on sizes.