Returns a column which is the input column scaled to have range [0,1].
tft.scale_to_0_1_per_key(
x, key, elementwise=False, key_vocabulary_filename=None, name=None
)
Args |
|---|
x
|
A numeric Tensor.
|
key
|
A Tensor of type string.
|
elementwise
|
If true, scale each element of the tensor independently.
|
key_vocabulary_filename
|
(Optional) The file name for the per-key file.
If None, this combiner will assume the keys fit in memory and will not
store the analyzer result in a file. If '', a file name will be chosen
based on the current TensorFlow scope. If not '', it should be unique
within a given preprocessing function.
|
name
|
(Optional) A name for this operation.
|
Returns |
|---|
A Tensor containing the input column scaled to [0, 1], per key. If the
analysis dataset is empty or contains a single distinct value, then x is
scaled using a sigmoid function.
|
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