tf.raw_ops.IsotonicRegression

Solves a batch of isotonic regression problems.

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.IsotonicRegression

 
tf.raw_ops.IsotonicRegression(
    input, output_dtype=tf.dtypes.float32, name=None
)

input A 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 An optional tf.DType from: tf.half, tf.bfloat16, tf.float32, tf.float64. Defaults to tf.float32. Dtype of output.
name A name for the operation (optional).

A tuple of Tensor objects (output, segments).
output A Tensor of type output_dtype.
segments A Tensor of type int32.