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add method and model docs for powershell and python v2025

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---
id: v2025-role-mining-session-parameters-dto
title: RoleMiningSessionParametersDto
pagination_label: RoleMiningSessionParametersDto
sidebar_label: RoleMiningSessionParametersDto
sidebar_class_name: pythonsdk
keywords: ['python', 'Python', 'sdk', 'RoleMiningSessionParametersDto', 'V2025RoleMiningSessionParametersDto']
slug: /tools/sdk/python/v2025/models/role-mining-session-parameters-dto
tags: ['SDK', 'Software Development Kit', 'RoleMiningSessionParametersDto', 'V2025RoleMiningSessionParametersDto']
---
# RoleMiningSessionParametersDto
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**id** | **str** | The ID of the role mining session | [optional]
**name** | **str** | The session's saved name | [optional]
**min_num_identities_in_potential_role** | **int** | Minimum number of identities in a potential role | [optional]
**prune_threshold** | **int** | The prune threshold to be used or null to calculate prescribedPruneThreshold | [optional]
**saved** | **bool** | The session's saved status | [optional] [default to True]
**scope** | [**RoleMiningSessionScope**](role-mining-session-scope) | | [optional]
**type** | [**RoleMiningRoleType**](role-mining-role-type) | | [optional]
**state** | [**RoleMiningSessionState**](role-mining-session-state) | | [optional]
**scoping_method** | [**RoleMiningSessionScopingMethod**](role-mining-session-scoping-method) | | [optional]
}
## Example
```python
from sailpoint.v2025.models.role_mining_session_parameters_dto import RoleMiningSessionParametersDto
role_mining_session_parameters_dto = RoleMiningSessionParametersDto(
id='9f36f5e5-1e81-4eca-b087-548959d91c71',
name='Saved RM Session - 07/10',
min_num_identities_in_potential_role=20,
prune_threshold=5,
saved=True,
scope=sailpoint.v2025.models.role_mining_session_scope.RoleMiningSessionScope(
identity_ids = [2c918090761a5aac0176215c46a62d58, 2c918090761a5aac01722015c46a62d42],
criteria = 'source.name:DataScienceDataset',
attribute_filter_criteria = {displayName={untranslated=Location: Miami}, ariaLabel={untranslated=Location: Miami}, data={displayName={translateKey=IDN.IDENTITY_ATTRIBUTES.LOCATION}, name=location, operator=EQUALS, values=[Miami]}}, ),
type='SPECIALIZED',
state='CREATED',
scoping_method='MANUAL'
)
```
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