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>