tft.min
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Computes the minimum of the values of x over the whole dataset.
tft.min(
x: common_types.TensorType,
reduce_instance_dims: bool = True,
name: Optional[str] = None
) -> tf.Tensor
In the case of a CompositeTensor missing values will be used in return
value: for float, NaN is used and for other dtypes the max is used.
Args |
|---|
x
|
A Tensor, SparseTensor, or RaggedTensor.
|
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 Tensor of the same shape as the input.
|
name
|
(Optional) A name for this operation.
|
Returns |
|---|
A Tensor with the same type as x.
|
Raises |
|---|
TypeError
|
If the type of x is not supported.
|
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Last updated 2024-11-01 UTC.
[null,null,["Last updated 2024-11-01 UTC."],[],[],null,["# tft.min\n\n\u003cbr /\u003e\n\n|---------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/transform/blob/v1.16.0/tensorflow_transform/analyzers.py#L425-L449) |\n\nComputes the minimum of the values of `x` over the whole dataset. \n\n tft.min(\n x: common_types.TensorType,\n reduce_instance_dims: bool = True,\n name: Optional[str] = None\n ) -\u003e tf.Tensor\n\nIn the case of a `CompositeTensor` missing values will be used in return\nvalue: for float, NaN is used and for other dtypes the max is used.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `x` | A `Tensor`, `SparseTensor`, or `RaggedTensor`. |\n| `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 `Tensor` of the same shape as the input. |\n| `name` | (Optional) A name for this operation. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor` with the same type as `x`. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|-------------|--------------------------------------|\n| `TypeError` | If the type of `x` is not supported. |\n\n\u003cbr /\u003e"]]
View source on GitHub