A.18 Conda Environment in Notebook

Prior to 8126 environments used 3 different python interpreters, each with pre-defined python versions and libraries, in 8126 this has been replaced with a common python interpreter and multiple conda environments. Now when executing models users can select one of 3 predefined conda environments or can select their own. The recommended conda environments for each model are shown below. Assume we are going to complete this table.

Note:

Users may need to wait 10 to 20 seconds to display the message “Invalidated the session and Initialized the connection” on the Pipeline UI to proceed with notebook execution

Select the corresponding conda environment while executing model as described in the following table.

Table A-8 Builtin Python Notebooks and its corresponding Conda Environment

Notebook	Conda Environment
Admin.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Admin Notebook.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
AMLES Admin Notebook.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
AMLES Data Load.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
AMLES Update Event Labels.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
AMLES Update Event Scores.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
AMLES User Notebook.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
AML Event Scoring.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
AML Human Trafficking.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
AML Scenario Generate Alerts.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
AML Shell Scenario.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
ATL Analysis.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environmenti s required for the pre-configured notebooks during execution.
Auto-MLOutput Tracking.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Auto-MLOutput Viewing Using REST.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
BTLAnalysis.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Customer Risk Scoring.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Customer Segmentation.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
ICIJCSV to DB_CSV Loader.dsnb	default_<CS version>
ML_Address_Matching_Training_Admin.dsnb	sane_<CS version>
ML_Address_Matching_Training_ETL.dsnb	sane_<CS version>
ML_Name_Matching_Training_Admin.dsnb	sane_<CS version>
MLNamematchingTrainingAdminPublish.dsnb	sane_<CS version>
ML_Name_Matching_Training_ETL.dsnb	sane_<CS version>
ML_Name_Matching_Training_ETLPublish.dsnb	sane_<CS version>
Outcome Analysis.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
PreProd Analysis.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Sanctions Admin.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Sanctions EDQ Update.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Sanctions Event Scoring User Notebook.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Scenario Execution.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Supervised ML Annual Ongoing Model Validation.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Supervised ML Create Events.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Supervised ML Data Aggregation in Big Data.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Supervised ML Graph Analytics.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Supervised ML Historic Data Load.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Supervised ML Monthly Ongoing Data Quality Report.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Supervised ML Monthly Ongoing Model Validation.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Supervised ML Scoring Data Load.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Supervised ML User Notebook.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Transaction Analysis.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Unsupervised ML Historic Data Load.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Unsupervised ML Scoring Data Load.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
Unsupervised ML User Notebook.dsnb	Pre-configured with ml4aml_<CS version> NOTE: There is no explicit selection of conda environment is required for the pre-configured notebooks during execution.
ERDASHBOARD Data Analysis.dsnb	sane_<CS version>
ERDASHBOARD Match And Merge Analysis.dsnb	sane_<CS version>
Scenario_Conversion_Utility.dsnb	default_<CS version>
Scenario_Conversion_Utility_Verification_NB.ds nb	default_<CS version>
SCU_Set_Calendar.dsnb	default_<CS version>