The shape of the input data per sequence id. E.g. if shape=(2,),
each example must contain 2 * sequence_length values.
default_value
A single value compatible with dtype that is used for
padding the sparse data into a dense Tensor.
dtype
The type of values.
normalizer_fn
If not None, a function that can be used to normalize the
value of the tensor after default_value is applied for parsing.
Normalizer function takes the input Tensor as its argument, and returns
the output Tensor. (e.g. lambda x: (x - 3.0) / 4.2). Please note that
even though the most common use case of this function is normalization, it
can be used for any kind of Tensorflow transformations.
Returns
A SequenceNumericColumn.
Raises
TypeError
if any dimension in shape is not an int.
ValueError
if any dimension in shape is not a positive integer.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[]]