> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fincept.in/llms.txt
> Use this file to discover all available pages before exploring further.

# Model Interpretability Analysis

> Analyzes model interpretability using permutation importance and partial dependence. Helps explain which features drive model predictions for regulatory and business understanding. [Tier: ENTERPRISE, Credits: 10]



## OpenAPI

````yaml api-specs/ml.json post /quantlib/ml/validation/interpretability
openapi: 3.1.0
info:
  title: FinceptQuantLib API - ML
  description: >-
    Machine Learning and Credit Risk module endpoints for FinceptQuantLib API.
    Pro Tier access required (5 credits per request). Covers credit scoring,
    model validation, regression models, clustering, anomaly detection, feature
    engineering, and preprocessing.
  version: 3.0.0
  contact:
    name: Fincept API Support
    url: https://fincept.in
servers:
  - url: https://api.fincept.in
    description: Fincept API Production Server
security:
  - APIKeyHeader: []
tags:
  - name: quantlib-ml
    description: Machine Learning and Credit Risk Analytics
    x-displayName: ML
paths:
  /quantlib/ml/validation/interpretability:
    post:
      tags:
        - quantlib-ml
      summary: Model Interpretability Analysis
      description: >-
        Analyzes model interpretability using permutation importance and partial
        dependence. Helps explain which features drive model predictions for
        regulatory and business understanding. [Tier: ENTERPRISE, Credits: 10]
      operationId: model_interpretability
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              required:
                - X
                - 'y'
              properties:
                model_predict:
                  type: string
                  description: Model label for reference
                  default: logistic
                  example: credit_model_v1
                X:
                  type: array
                  description: Feature matrix
                  items:
                    type: array
                    items:
                      type: number
                  example:
                    - - 1.2
                      - 0.5
                      - 3.1
                    - - 2.1
                      - 1.3
                      - 2.5
                'y':
                  type: array
                  description: Target values
                  items:
                    type: number
                  example:
                    - 0.234
                    - 0.567
                method:
                  type: string
                  description: Interpretability method
                  enum:
                    - permutation
                    - partial_dependence
                  default: permutation
                  example: permutation
      responses:
        '200':
          description: Interpretability results
          content:
            application/json:
              schema:
                type: object
                properties:
                  success:
                    type: boolean
                    example: true
                  data:
                    type: object
                    description: Feature importance scores and analysis
        '401':
          $ref: '#/components/responses/UnauthorizedError'
        '402':
          $ref: '#/components/responses/InsufficientCreditsError'
        '422':
          $ref: '#/components/responses/ValidationError'
components:
  responses:
    UnauthorizedError:
      description: Authentication information is missing or invalid
      content:
        application/json:
          schema:
            type: object
            properties:
              detail:
                type: string
                example: Invalid API key
    InsufficientCreditsError:
      description: Insufficient credits for this operation
      content:
        application/json:
          schema:
            type: object
            properties:
              detail:
                type: string
                example: Insufficient credits. This endpoint requires 5 credits.
    ValidationError:
      description: Request validation error
      content:
        application/json:
          schema:
            type: object
            properties:
              detail:
                type: array
                items:
                  type: object
                  properties:
                    loc:
                      type: array
                      items:
                        type: string
                    msg:
                      type: string
                    type:
                      type: string
  securitySchemes:
    APIKeyHeader:
      type: apiKey
      in: header
      name: X-API-Key
      description: >-
        API key for authentication. Get your key at
        https://api.fincept.in/auth/register

````