Metadata-Version: 2.1
Name: qoa4ml
Version: 0.0.19
Summary: Quality of Analysis for Machine Learning
Home-page: https://rdsea.github.io/
Author: Aaltosea
License: MIT
Description: # QoA4ML - Quality of Analytics for ML
        
        ## Source code
        https://github.com/rdsea/QoA4ML
        
        ## Probes
        * [QoA4ML Probes](https://github.com/rdsea/QoA4ML/tree/main/qoa4ml_lib/qoa4ml/probes.py): libraries and lightweight modules capturing metrics. They are integrated into suitable ML serving frameworks and ML code
        * Probe properties:
          - Can be written in different languages (Python, GoLang)
          - Can have different communications to monitoring systems (depending on probes and its ML support)
          - Capture metrics with a clear definition/scope
            - e.g., Response time for an ML stage (training) or a service call (of ML APIs)
            - Thus output of probes must be correlated to objects to be monitored and the tenant
          - Support high or low-level metrics/attributes
            - depending on probes implementation
          - Can be instrumented into source code or standlone
        
        ## [QoA4ML Reports](https://github.com/rdsea/QoA4ML/blob/main/qoa4ml_lib/qoa4ml/reports.py)
        
        This module defines ``QoA_Client``, an object that will gather metrics from probes and client information, create simple reports and send it to handler
        
        ## [Examples](https://github.com/rdsea/QoA4ML/tree/main/example)
        https://github.com/rdsea/QoA4ML/tree/main/example
        
        
        
        
        
        Change Log
        ======================
        
        0.0.13 (18/04/2022)
        ---------------------
        First Release 
        
        0.0.18 (10/05/2022)
        ---------------------
        Update system metric
        
        0.0.19 (31/05/2022)
        ---------------------
        Update process metric
Platform: UNKNOWN
Description-Content-Type: text/markdown
