tft.scale_by_min_max

Scale a numerical column into the range [output_min, output_max].

tft.scale_by_min_max(
    x: common_types.ConsistentTensorType,
    output_min: float = 0.0,
    output_max: float = 1.0,
    elementwise: bool = False,
    name: Optional[str] = None
) -> common_types.ConsistentTensorType

Args

---

x: A numeric Tensor, SparseTensor, or RaggedTensor. output_min: The minimum of the range of output values. output_max: The maximum of the range of output values. elementwise: If true, scale each element of the tensor independently. name: (Optional) A name for this operation.

Returns

---

A Tensor containing the input column scaled to [output_min, output_max]. If the analysis dataset is empty or contains a singe distinct value, then x is scaled using a sigmoid function.

Raises

---

ValueError: If output_min, output_max have the wrong order.