Skip to content

Neuropype Documentation

RandomSubset

← tensor_math package

`RandomSubset`¶

Select a random subset of instances in the given data.

Version 1.1.0

Ports/Properties¶

`data`¶

Data to process.

verbose name: Data
default value: None
port type: DataPort
value type: Packet (can be None)
data direction: INOUT

`subset_axis`¶

Axis along which to subset the data.

verbose name: Subset Axis
default value: instance
port type: ComboPort
value type: str (can be None)

`count`¶

Number of items to retain (you may only set this property or fraction, not both).

verbose name: Count
default value: None
port type: IntPort
value type: int (can be None)

`fraction`¶

Fraction of items to retain (you may only set this property or count not both).

verbose name: Fraction
default value: None
port type: FloatPort
value type: float (can be None)

`only_targets`¶

Act only on instance elements that have the TargetMarkers field set. This can be accomplished via the AssignTargets node.

verbose name: Only Targets
default value: False
port type: BoolPort
value type: bool (can be None)

`random_seed`¶

Seed for the random number generator. If not set, a random seed is chosen each time the node is run.

verbose name: Random Seed
default value: None
port type: IntPort
value type: int (can be None)

`set_breakpoint`¶

Set a breakpoint on this node. If this is enabled, your debugger (if one is attached) will trigger a breakpoint.

verbose name: Set Breakpoint (Debug Only)
default value: False
port type: BoolPort
value type: bool (can be None)

`metadata`¶

User-definable meta-data associated with the node. Usually reserved for technical purposes.

verbose name: Metadata
default value: {}
port type: DictPort
value type: dict (can be None)