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watson-openscale-samples's Introduction

IBM Watson OpenScale tutorials

SDK DETAILS:

Additional resources:

IBM Cloud

Tutorial 1: Working with Watson Machine Learning engine

  • Step 1: Credit risk prediction model creation, deployment as web-service and monitoring using Watson OpenScale - notebook

Tutorial 2: Working with Azure Machine Learning Studio engine

  • Step 1: Data mart creation, model deployment monitoring and data analysis - notebook

Tutorial 3: Working with Azure Machine Learning Service engine

  • Step 1: Model creation with Azure Service and deployment - notebook

  • Step 2: Data mart creation, deployment wrapper for payload logging, model deployment monitoring and data analysis - notebook

Tutorial 4: Working with Amazon SageMaker Machine Learning engine

  • Step 1: Creation and deployment of credit risk prediction model - notebook
  • Step 2: Data mart creation, model deployment monitoring and data analysis - notebook

Tutorial 5: Working with Image-based models

  • Step 1: Watson OpenScale Explanation for Image Binary Classification Model- notebook

  • Step 2: Watson OpenScale Explanation for Image Multiclass Classification Model- notebook

Tutorial 6: Working with Text-based models

  • Step 1: Watson OpenScale Explanation for Text based Binary Classification Model- notebook

Tutorial 7: Working with Regression models

  • Step 1: Watson OpenScale monitoring for Regression Model- notebook

Tutorial 8: Working with Custom Machine Learning Provider

  • Step 1: Watson OpenScale Monitoring using Custom ML Provider - notebook

IBM Cloud Pak for Data

Tutorial 1. Working with Watson Machine Learning engine on CP4D

  • Step 1: Credit risk prediction model creation, deployment as web-service and monitoring using Watson OpenScale - notebook

Tutorial 2. Working with IBM SPSS C&DS engine

  • Step 1: Data mart creation, model deployment monitoring and data analysis - notebook

Tutorial 3. Working with Batch Support (Quality and Drift ONLY)

  • Step 1: Generate common configuration for batch subscriptions - notebook

  • Step 2: Analyze drifted transactions for batch subscriptions- notebook

Tutorial 4. Working with Batch Support using IBM Analytics Engine - notebook

Tutorial 5. Working with Batch Support using Remote Spark Engine - notebook

Model Risk Management, Governance, Adversarial Robustness Checks & Other Features

Watson OpenScale Model Risk Management

IBM Cloud

  • Tutorial 1. OpenScale Model Risk Governance with OpenPages Integration on IBM Cloud - notebook
  • Tutorial 2. OpenScale Model Risk Management on IBM Cloud - notebook
  • Tutorial 3. OpenScale Model Metrics Mapping with Openpages - notebook

IBM Cloud Pak for Data

  • Tutorial 1. OpenScale Model Risk Governance with OpenPages Integration on IBM Cloud Pak for Data - notebook
  • Tutorial 2. OpenScale Model Risk Management on IBM Cloud Pak for Data - notebook

Watson OpenScale Indirect Bias detection

  • Tutorial 1: Watson OpenScale indirect bias detection for protected features - notebook

  • Tutorial 2: Watson OpenScale indirect bias and active debiasing on IBM Cloud Pak for data - notebook

Watson Openscale Adversarial attack detection on image models

  • Tutorial: Adversarial Robustness Metrics for Image models - notebook

Miscellaneous

  • Tutorial 1: Watson OpenScale Configure subscription monitors using training data statistics - notebook

watson-openscale-samples's People

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watson-openscale-samples's Issues

Openscale MRM Metrics Mapping.ipynb: unable to send metrics to OpenPages.

Hello,

I followed the "OpenScale MRM Metrics Mapping.ipynb" notebook sample. But in the metrics sending to OpenPages step I have the following error:
{'trace': '2a4a6bccf30b4de2bd6eb7854fdbb431', 'errors': [{'code': 'AIQRM5002E', 'message': "Failed while authenticating user : HTTPSConnectionPool(host='aiopenscale-ibm-aios-nginx-internal.r-ctai.svc.cluster.local', port=443): Max retries exceeded with url: /auth/jwtpublic (Caused by SSLError(SSLCertVerificationError(1, '[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: certificate has expired (_ssl.c:1129)')))."}]}
Also, I haven't been able to find documentation of the "integrated_system_metrics" endpoint, is there some docs about it ?

ModuleNotFoundError: No module named 'sklearn.externals.joblib'

Hello,

I am running on AzureML the following notebook provided as an example in this repo:
https://github.com/IBM/watson-openscale-samples/blob/main/IBM%20Cloud/Azure/notebo[โ€ฆ]dit%20model%20with%20Azure%20Service%20and%20scikit-learn.ipynb

For the cell containing:

model_name = "german_credit_risk"
model_path = "german_credit_risk_20.joblib" #"german_credit_risk.joblib"
clf = joblib.load(os.path.join(os.getcwd(), model_path))

I am getting this error:
ModuleNotFoundError: No module named 'sklearn.externals.joblib'

Any advice on how this issue can be overcome? I believe this is because of the sklearn syntax - instead of "#from sklearn.externals import joblib" should be "import joblib" but german_credit_risk_20.joblib file is binary and can't be modified.

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