ApplyLinearTransformation¶
Calculates a dot product or matrix multiply of the data tensor with a filters tensor.
(If the data and filter tensors have two axes (2D tensors), then a matrix multiply is applied. If they have a single axis (1D tensor), then a dot product is applied.) The data and filters tensor must both have an axis of the same type and size. This node may be used to apply to these data e.g., a spatial filter or linear classifier that was calculated elsewhere. Version 0.2.0
Ports/Properties¶
data¶
Data to process.
- verbose name: Data
- default value: None
- port type: DataPort
- value type: Packet (can be None)
- data direction: INOUT
filters¶
The model through which the data will be transformed.
- verbose name: Filters
- default value: None
- port type: DataPort
- value type: Packet (can be None)
- data direction: IN
axis¶
Axis along which to align data and filter tensors.
- verbose name: Transform Along Axis
- default value: space
- port type: ComboPort
- value type: str (can be None)
intercept¶
Support for linear transforms that expect an intercept feature. This can be set to either prepend or append a special feature that is all-1.
- verbose name: Handle Intercept
- default value: no
- port type: EnumPort
- value type: str (can be None)
segsize¶
Set the total number of array items (e.g ., samples) to process segment-by-segment.
- verbose name: Segsize
- default value: 0
- port type: IntPort
- value type: int (can be None)
use_caching¶
Enable caching.
- verbose name: Use Caching
- default value: False
- port type: BoolPort
- value type: bool (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)