tf.strings.to_hash_bucket

Converts each string in the input Tensor to the specified numeric type.

tf.strings.to_number(
    input, out_type=tf.dtypes.float32, name=None
)

Used in the notebooks

Used in the guide	Used in the tutorials
Introduction to Tensors	Robust machine learning on streaming data using Kafka and Tensorflow-IO

(Note that int32 overflow results in an error while float overflow results in a rounded value.)

Examples:

tf.strings.to_number("1.55")
<tf.Tensor: shape=(), dtype=float32, numpy=1.55>
tf.strings.to_number("3", tf.int32)
<tf.Tensor: shape=(), dtype=int32, numpy=3>

Args
`input`	A `Tensor` of type `string`.
`out_type`	An optional `tf.DType` from: `tf.float32, tf.float64, tf.int32, tf.int64`. Defaults to `tf.float32`. The numeric type to interpret each string in `string_tensor` as.
`name`	A name for the operation (optional).

Returns
A `Tensor` of type `out_type`.

TensorFlow

tf.strings / to_hash_bucket_fast

Used in the notebooks

Examples:

Args

Returns

TensorFlow

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tf.strings / to_hash_bucket_fast

Used in the notebooks

Examples:

Args

Returns