ibm-watson-machine-learning

import os from ibm_watson_machine_learning.APIClient import APIClient # --- IMPORTANT: This library is in maintenance mode. Consider ibm-watsonx-ai --- # Replace with your IBM Cloud API Key and Watson Machine Learning service endpoint. # For IBM Cloud: API_KEY and the service_endpoint (e.g., 'https://us-south.ml.cloud.ibm.com') # For Cloud Pak for Data: USERNAME, PASSWORD, and service_endpoint (e.g., 'https://<your_cpd_cluster_host>') # Example for IBM Cloud (API Key authentication): api_key = os.environ.get('IBM_CLOUD_API_KEY', 'YOUR_IBM_CLOUD_API_KEY') service_endpoint = os.environ.get('WML_SERVICE_ENDPOINT', 'https://us-south.ml.cloud.ibm.com') # Example endpoint if 'YOUR_IBM_CLOUD_API_KEY' in api_key or 'YOUR_CPD_CLUSTER_HOST' in service_endpoint: print("Please set IBM_CLOUD_API_KEY and WML_SERVICE_ENDPOINT environment variables or replace placeholders.") else: try: wml_credentials = { "apikey": api_key, "url": service_endpoint } client = APIClient(wml_credentials) print("IBM Watson Machine Learning client initialized successfully.") print(f"Client version: {client.version}") # Example: Get spaces (requires a WML service instance and configured spaces) # spaces = client.spaces.get_details() # print("Available WML Spaces:") # for space in spaces['resources']: # print(f"- {space['entity']['name']} (ID: {space['metadata']['id']})") except Exception as e: print(f"Error initializing WML client: {e}") print("Ensure your API key and service endpoint are correct and you have access to the service.")