Solves a batch of isotonic regression problems.
tf.raw_ops.IsotonicRegression(
input,
output_dtype=tf.dtypes.float32,
name=None
)
input
Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64.
A (batch_size, dim)-tensor holding a batch of inputs.
output_dtype
tf.DType from: tf.half, tf.bfloat16, tf.float32, tf.float64. Defaults to tf.float32.
Dtype of output.
name
Returns | |
|---|---|
A tuple of Tensor objects (output, segments).
|
|
output
|
A Tensor of type output_dtype.
|
segments
|
A Tensor of type int32.
|
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Last updated 2024-04-26 UTC.