column_numeric {tfestimators} | R Documentation |
Construct a Real-Valued Column
Description
Construct a Real-Valued Column
Usage
column_numeric(
...,
shape = c(1L),
default_value = NULL,
dtype = tf$float32,
normalizer_fn = NULL
)
Arguments
... |
Expression(s) identifying input feature(s). Used as the column name and the dictionary key for feature parsing configs, feature tensors, and feature columns. |
shape |
An integer vector that specifies the shape of the tensor. An
integer can be given which means a single dimension tensor with given
width. The tensor representing the column will have the shape of
|
default_value |
A single value compatible with |
dtype |
The types for values contained in the column. The default value
is |
normalizer_fn |
If not |
Value
A numeric column.
Raises
TypeError: if any dimension in shape is not an int
ValueError: if any dimension in shape is not a positive integer
TypeError: if
default_value
is an iterable but not compatible withshape
TypeError: if
default_value
is not compatible withdtype
ValueError: if
dtype
is not convertible totf$float32
See Also
Other feature column constructors:
column_bucketized()
,
column_categorical_weighted()
,
column_categorical_with_hash_bucket()
,
column_categorical_with_identity()
,
column_categorical_with_vocabulary_file()
,
column_categorical_with_vocabulary_list()
,
column_crossed()
,
column_embedding()
,
input_layer()