cogflow 1.9.2

cog modules

CogFlow

CogFlow is a versatile framework designed to manage multiple plugins for cognitive and machine learning tasks. It includes several plugins such as MlflowPlugin, KubeflowPlugin, and DatasetPlugin, which can be activated as needed to extend the capabilities of the framework.

Getting Started

To begin, import cogflow from the CogFlow module:

import cogflow

Explore the Capabilities of cogflow

• List Attributes and Methods: Understand the cogflow module better with:

  print(dir(cogflow))
  

• Get Documentation: For a comprehensive guide on the cogflow, use:

  help(cogflow)
  

Environment Variables

To maximize the functionality of CogFlow, set the following environment variables:

• Mlflow Configuration:

  • MLFLOW_TRACKING_URI: The URI of the Mlflow tracking server.
  • MLFLOW_S3_ENDPOINT_URL: The endpoint URL for the AWS S3 service.
  • ACCESS_KEY_ID: The access key ID for AWS S3 authentication.
  • SECRET_ACCESS_KEY: The secret access key for AWS S3 authentication.

• Machine Learning Database:

  • ML_DB_USERNAME: Username for connecting to the machine learning database.
  • ML_DB_PASSWORD: Password for connecting to the machine learning database.
  • ML_DB_HOST: Host address for the machine learning database.
  • ML_DB_PORT: Port number for the machine learning database.
  • ML_DB_NAME: Name of the machine learning database.

• CogFlow Database:

  • COGFLOW_DB_USERNAME: Username for connecting to the CogFlow database.
  • COGFLOW_DB_PASSWORD: Password for connecting to the CogFlow database.
  • COGFLOW_DB_HOST: Host address for the CogFlow database.
  • COGFLOW_DB_PORT: Port number for the CogFlow database.
  • COGFLOW_DB_NAME: Name of the CogFlow database.

• MinIO Configuration:

  • MINIO_ENDPOINT_URL: The endpoint URL for the MinIO service.
  • MINIO_ACCESS_KEY: The access key for MinIO authentication.
  • MINIO_SECRET_ACCESS_KEY: The secret access key for MinIO authentication.

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By setting the environment variables correctly, you can fully utilize the features and functionalities of the CogFlow framework for your cognitive and machine learning tasks.