TensorNormalize
streaming mode | Standard category
Inputs
- tensor (tensor_real) - the input tensor
Outputs
- tensor (tensor_real) - the normalized output tensor
Parameters
- axis (integer ∈ [-1, 4), default = 0) :
- Normalize along the given axis. -1 to normalize along all the dimensions
- scaler (string ∈ {standard, minMax}, default = standard) :
- the type of the normalization to apply to input tensor
- skipConstantSlices (bool ∈ {false, true}, default = true) :
- Whether to prevent dividing by zero constant slices (zero standard deviation)
Description
This algorithm performs normalization over a tensor. When the axis parameter is set to -1 the input tensor is globally normalized. Any other value means that the tensor will be normalized along that axis. This algorithm supports Standard and MinMax normalizations.
- References:
- [1] Feature scaling - Wikipedia, the free encyclopedia, https://en.wikipedia.org/wiki/Feature_scaling
See also
MinMax (standard) MinMax (streaming) TensorNormalize (standard)