tft.var | TFX | TensorFlow (original) (raw)
tft.var
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Computes the variance of the values of a Tensor over the whole dataset.
tft.var(
x: common_types.TensorType,
reduce_instance_dims: bool = True,
name: Optional[str] = None,
output_dtype: Optional[tf.DType] = None
) -> tf.Tensor
Uses the biased variance (0 delta degrees of freedom), as given by (x - mean(x))**2 / length(x).
| Args | |
|---|---|
| x | Tensor, SparseTensor, or RaggedTensor. Its type must be floating point (float{16|32 |
| reduce_instance_dims | By default collapses the batch and instance dimensions to arrive at a single scalar output. If False, only collapses the batch dimension and outputs a vector of the same shape as the input. |
| name | (Optional) A name for this operation. |
| output_dtype | (Optional) If not None, casts the output tensor to this type. |
| Returns |
|---|
| A Tensor containing the variance. If x is floating point, the variance will have the same type as x. If x is integral, the output is cast to float32. NaNs and infinite input values are ignored. |
| Raises | |
|---|---|
| TypeError | If the type of x is not supported. |
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Last updated 2024-11-01 UTC.