---
title: MeasureNoiseLearningOptions (latest version)
description: API reference for qiskit_ibm_runtime.options.MeasureNoiseLearningOptions in the latest version of qiskit-ibm-runtime
source: https://eu-de.quantum.cloud.ibm.com/docs/en/api/qiskit-ibm-runtime/options-measure-noise-learning-options
---

# MeasureNoiseLearningOptions

*class* `MeasureNoiseLearningOptions(num_randomizations=Unset, shots_per_randomization=Unset)`

[GitHub](https://github.com/Qiskit/qiskit-ibm-runtime/tree/stable/0.49/qiskit_ibm_runtime/options/measure_noise_learning_options.py#L23-L67)

Bases: `object`

Options for measurement noise learning. This is only used by V2 Estimator.

> **Note**
>
> These options are only used when the resilience level or options specify a technique that requires measurement noise learning.

## Attributes

**Parameters**

- **num\_randomizations** (*UnsetType | int*)
- **shots\_per\_randomization** (*UnsetType | int | Literal\['auto']*)

### num\_randomizations

Type: `UnsetType | int`

Default value: `Unset`

The number of random circuits to draw for the measurement learning experiment.

Default: 32.

### shots\_per\_randomization

Type: `UnsetType | int | Literal['auto']`

Default value: `Unset`

The number of shots to use for the learning experiment per random circuit.

If “auto”, the value will be chosen automatically based on the input PUBs.

Default: “auto”.

## Methods