tft.scale_to_0_1 | TFX | TensorFlow (original) (raw)
tft.scale_to_0_1
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Returns a column which is the input column scaled to have range [0,1].
tft.scale_to_0_1(
x: common_types.ConsistentTensorType,
elementwise: bool = False,
name: Optional[str] = None
) -> common_types.ConsistentTensorType
Used in the notebooks
| Used in the tutorials |
|---|
| Preprocessing data with TensorFlow Transform Preprocess data with TensorFlow Transform |
| Args | |
|---|---|
| x | A numeric Tensor, SparseTensor, or RaggedTensor. |
| elementwise | If true, scale each element of the tensor independently. |
| name | (Optional) A name for this operation. |
| Returns |
|---|
| A Tensor, SparseTensor, or RaggedTensor containing the input column scaled to [0, 1]. If the analysis dataset is empty or contains a single distinct value, then x is scaled using a sigmoid function. |
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Last updated 2024-11-01 UTC.