ai.onnx.ml - Scaler#
Scaler - 1 (ai.onnx.ml)#
Version
name: Scaler (GitHub)
domain: ai.onnx.ml
since_version: 1
function: False
support_level: SupportType.COMMON
shape inference: False
This version of the operator has been available since version 1 of domain ai.onnx.ml.
Summary
Rescale input data, for example to standardize features by removing the mean and scaling to unit variance.
Attributes
offset: First, offset by this.<br>Can be length of features in an [N,F] tensor or length 1, in which case it applies to all features, regardless of dimension count.
scale: Second, multiply by this.<br>Can be length of features in an [N,F] tensor or length 1, in which case it applies to all features, regardless of dimension count.<br>Must be same length as ‘offset’
Inputs
X (heterogeneous) - T: Data to be scaled.
Outputs
Y (heterogeneous) - tensor(float): Scaled output data.
Type Constraints
T in ( tensor(double), tensor(float), tensor(int32), tensor(int64) ): The input must be a tensor of a numeric type.
Examples