contrib.layers.real_valued_column
tf.contrib.layers.real_valued_column
tf.contrib.layers.real_valued_column
real_valued_column( column_name, dimension=1, default_value=None, dtype=tf.float32, normalizer=None )
Defined in tensorflow/contrib/layers/python/layers/feature_column.py
.
See the guide: Layers (contrib) > Feature columns
Creates a _RealValuedColumn
for dense numeric data.
Args:
-
column_name
: A string defining real valued column name. -
dimension
: An integer specifying dimension of the real valued column. The default is 1. -
default_value
: A single value compatible with dtype or a list of values compatible with dtype which the column takes on during tf.Example parsing if data is missing. When dimension is not None, a default value of None 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 dimension. If a list of values is provided, the length of the list should be equal to the value ofdimension
. Only scalar default value is supported in case dimension is not specified. -
dtype
: defines the type of values. Default value is tf.float32. Must be a non-quantized, real integer or floating point type. -
normalizer
: If not None, a function that can be used to normalize the value of the real valued column 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). Note that for variable length columns, the normalizer should expect an input_tensor of typeSparseTensor
.
Returns:
A _RealValuedColumn.
Raises:
-
TypeError
: if dimension is not an int -
ValueError
: if dimension is not a positive integer -
TypeError
: if default_value is a list but its length is not equal to the value ofdimension
. -
TypeError
: if default_value is not compatible with dtype. -
ValueError
: if dtype is not convertible to tf.float32.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/layers/real_valued_column