Construct a Real-Valued Column
column_numeric(..., shape = c(1L), default_value = NULL,
dtype = tf$float32, normalizer_fn = NULL)
Expression(s) identifying input feature(s). Used as the column name and the dictionary key for feature parsing configs, feature tensors, and feature columns.
An integer vector that specifies the shape of the tensor. An
integer can be given which means a single dimension tensor with given
width. The tensor representing the column will have the shape of
batch_size + shape
.
A single value compatible with dtype
or an iterable of
values compatible with dtype
which the column takes on during parsing if
data is missing. A default value of NULL
will cause tf$parse_example
to
fail if an example does not contain this column. If a single value is
provided, the same value will be applied as the default value for every
item. If an iterable of values is provided, the shape of the
default_value
should be equal to the given shape
.
The types for values contained in the column. The default value
is tf$float32
. Must be a non-quantized, real integer or floating point
type.
If not NULL
, a function that can be used to normalize
the value of the tensor after default_value
is applied for parsing.
Normalizer function takes the input Tensor
as its argument, and returns
the output tensor. (e.g. function(x) {(x - 3.0) / 4.2)}
. Please note that
even though the most common use case of this function is normalization, it
can be used for any kind of Tensorflow transformations.
A numeric column.
TypeError: if any dimension in shape is not an int
ValueError: if any dimension in shape is not a positive integer
TypeError: if default_value
is an iterable but not compatible with shape
TypeError: if default_value
is not compatible with dtype
ValueError: if dtype
is not convertible to tf$float32
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