Partition a dataset into N-groups of the sample attribute.
For example, NGroupPartitioner(2) is the same as the HalfPartitioner and yields exactly the same partitions and labeling patterns.
Notes
Available conditional attributes:
(Conditional attributes enabled by default suffixed with +)
Methods
generate(ds) | |
get_partition_specs(ds) | Returns the specs for all to be generated partition sets. |
get_partitions_attr(ds, specs) | Create a partition attribute array for a particular partion spec. |
get_postproc() | Returns the post-processing node or None. |
get_space() | Query the processing space name of this node. |
reset() | |
set_postproc(node) | Assigns a post-processing node |
set_space(name) | Set the processing space name of this node. |
Parameters: | ngroups : int
enable_ca : None or list of str
disable_ca : None or list of str
count : None or int
selection_strategy : str
attr : str
space : str
pass_attr : str, list of str|tuple, optional
postproc : Node instance, optional
descr : str
|
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Methods
generate(ds) | |
get_partition_specs(ds) | Returns the specs for all to be generated partition sets. |
get_partitions_attr(ds, specs) | Create a partition attribute array for a particular partion spec. |
get_postproc() | Returns the post-processing node or None. |
get_space() | Query the processing space name of this node. |
reset() | |
set_postproc(node) | Assigns a post-processing node |
set_space(name) | Set the processing space name of this node. |