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[31m[1mWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.[0m
* Running on all addresses (0.0.0.0)
* Running on http://127.0.0.1:5000
* Running on http://10.125.46.236:5000
[33mPress CTRL+C to quit[0m
10.125.46.236 - - [08/Apr/2025 14:38:11] "POST /train HTTP/1.1" 200 -
ads': 8, 'memory_limit': 12670197760, 'last_seen': 1744103281.28469, 'services': {'dashboard': 4912}, 'metrics': {'task_counts': {}, 'bandwidth': {'total': 100000000, 'workers': {}, 'types': {}}, 'digests_total_since_heartbeat': {'tick-duration': 0.5225224494934082, 'latency': 0.01354360580444336}, 'managed_bytes': 0, 'spilled_bytes': {'memory': 0, 'disk': 0}, 'transfer': {'incoming_bytes': 0, 'incoming_count': 0, 'incoming_count_total': 0, 'outgoing_bytes': 0, 'outgoing_count': 0, 'outgoing_count_total': 0}, 'event_loop_interval': 0.02058202025-04-08 14:38:01,441 - INFO -
Master Node: Connected to Dask cluster with workers: {'tcp://10.125.46.236:4911': {'type': 'Worker', 'id': 'tcp://10.125.46.236:4911', 'host': '10.125.46.236', 'resources': {}, 'local_directory': 'C:\\Users\\Admin\\AppData\\Local\\Temp\\dask-scratch-space\\worker-cupt0a_l', 'name': 'tcp://10.125.46.236:4911', 'nthreads': 8, 'memory_limit': 12670197760, 'last_seen': 1744103281.28469, 'services': {'dashboard': 4912}, 'metrics': {'task_counts': {}, 'bandwidth': {'total': 100000000, 'workers': {}, 'types': {}}, 'digests_total_since_heartbeat': {'tick-duration': 0.5225224494934082, 'latency': 0.01354360580444336}, 'managed_bytes': 0, 'spilled_bytes': {'memory': 0, 'disk': 0}, 'transfer': {'incoming_bytes': 0, 'incoming_count': 0, 'incoming_count_total': 0, 'outgoing_bytes': 0, 'outgoing_count': 0, 'outgoing_count_total': 0}, 'event_loop_interval': 0.020582028797694614, 'cpu': 3.2, 'memory': 132550656, 'time': 1744103281.2656813, 'host_net_io': {'read_bps': 76434.59407624295, 'write_bps': 3524.07957959785}, 'host_disk_io': {'read_bps': 2856853.8458606573, 'write_bps': 16706.74763661203}}, 'status': 'running', 'nanny': 'tcp://10.125.46.236:4904'}, 'tcp://10.125.46.32:37458': {'type': 'Worker', 'id': 'tcp://10.125.46.32:37458', 'host': '10.125.46.32', 'resources': {}, 'local_directory': 'C:\\Users\\qcc\\AppData\\Local\\Temp\\dask-scratch-space\\worker-58gwjzor', 'name': 'tcp://10.125.46.32:37458', 'nthreads': 4, 'memory_limit': 8464789504, 'last_seen': 1744103281.4242017, 'services': {'dashboard': 37459}, 'metrics': {'task_counts': {}, 'bandwidth': {'total': 100000000, 'workers': {}, 'types': {}}, 'digests_total_since_heartbeat': {'tick-duration': 0.5427231788635254, 'latency': 0.13939976692199707}, 'managed_bytes': 0, 'spilled_bytes': {'memory': 0, 'disk': 0}, 'transfer': {'incoming_bytes': 0, 'incoming_count': 0, 'incoming_count_total': 0, 'outgoing_bytes': 0, 'outgoing_count': 0, 'outgoing_count_total': 0}, 'event_loop_interval': 0.021398738938934948, 'cpu': 0.0, 'memory': 93573120, 'time': 1744103282.018947, 'host_net_io': {'read_bps': 14699.880715192694, 'write_bps': 44695.50729120349}, 'host_disk_io': {'read_bps': 0.0, 'write_bps': 0.0}}, 'status': 'running', 'nanny': 'tcp://10.125.46.32:37453'}, 'tcp://10.125.46.32:37473': {'type': 'Worker', 'id': 'tcp://10.125.46.32:37473', 'host': '10.125.46.32', 'resources': {}, 'local_directory': 'C:\\Users\\qcc\\AppData\\Local\\Temp\\dask-scratch-space\\worker-9p_fvy2025-04-08 14:38:01,446 - INFO -
Waiting for Flask app to fully start...
2025-04-08 14:38:01,487 - INFO - [31m[1mWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.[0m
* Running on all addresses (0.0.0.0)
* Running on http://127.0.0.1:5000
* Running on http://10.125.46.236:5000
2025-04-08 14:38:01,487 - INFO - [33mPress CTRL+C to quit[0m
2025-04-08 14:38:06,448 - INFO -
Master Node: Triggering training via POST request to http://10.125.46.236:5000/train
2025-04-08 14:38:06,463 - INFO -
Master Node: Distributing training to 3 workers
2025-04-08 14:38:06,470 - INFO -
=====================================
Master Node: Sent chunk 1 to worker
2025-04-08 14:38:06,477 - INFO -
=====================================
Master Node: Sent chunk 2 to worker
2025-04-08 14:38:06,483 - INFO -
=====================================
Master Node: Sent chunk 3 to worker
2025-04-08 14:38:11,152 - INFO -
=====================================
Master Node: Model training completed.
=====================================
Coefficients: [-0.01283796 -0.55906316 -0.10180791 0.00270151 0.40298555 0.00742253
0.02166854 0.06145429 -0.05149568],
Intercept: 4.278783382758603
2025-04-08 14:38:11,152 - INFO -
Worker tcp://10.125.46.236:4911: -- Training on chunk 1 with 3667 samples
2025-04-08 14:38:11,152 - INFO -
Worker tcp://10.125.46.236:4911: Completed training chunk 1
2025-04-08 14:38:11,152 - INFO -
=====================================
Worker tcp://10.125.46.236:4911:
Final model coefficients [-0.01140501 -0.57750084 -0.09527878 0.0026463 0.40346026 0.0073018
0.01725295 0.03891349 -0.04656296],
Intercept 4.499883683647418
=====================================
2025-04-08 14:38:11,152 - INFO -
Worker tcp://10.125.46.32:37458: -- Training on chunk 1 with 3667 samples
2025-04-08 14:38:11,152 - INFO -
Worker tcp://10.125.46.32:37458: Completed training chunk 1
2025-04-08 14:38:11,156 - INFO -
=====================================
Worker tcp://10.125.46.32:37458:
Final model coefficients [-0.01169646 -0.54005308 -0.11985719 0.00264736 0.40719268 0.00747602
0.01974459 0.06844095 -0.04613892],
Intercept 4.134011975418877
=====================================
2025-04-08 14:38:11,156 - INFO -
Worker tcp://10.125.46.32:37473: -- Training on chunk 1 with 3666 samples
2025-04-08 14:38:11,156 - INFO -
Worker tcp://10.125.46.32:37473: Completed training chunk 1
2025-04-08 14:38:11,156 - INFO -
=====================================
Worker tcp://10.125.46.32:37473:
Final model coefficients [-0.01541242 -0.55963555 -0.09028775 0.00281086 0.39830373 0.00748978
0.02800808 0.07700845 -0.06178517],
Intercept 4.202454489209513
=====================================
2025-04-08 14:38:11,158 - INFO - 10.125.46.236 - - [08/Apr/2025 14:38:11] "POST /train HTTP/1.1" 200 -
2025-04-08 14:38:11,161 - INFO -
Master Node: Training triggered successfully.
2025-04-08 14:38:11,162 - INFO -
Main process continues, Flask app running in background.
4736 0.40719268 0.00747602
0.01974459 0.06844095 -0.04613892],
Intercept 4.134011975418877
=====================================
2025-04-08 14:38:11,156 - INFO -
Worker tcp://10.125.46.32:37473: -- Training on chunk 1 with 3666 samples
2025-04-08 14:38:11,156 - INFO -
Worker tcp://10.125.46.32:37473: Completed training chunk 1
2025-04-08 14:38:11,156 - INFO -
=====================================
Worker tcp://10.125.46.32:37473:
Final model coefficients [-0.01541242 -0.55963555 -0.09028775 0.00281086 0.39830373 0.00748978
0.02800808 0.07700845 -0.06178517],
Intercept 4.202454489209513
=====================================
2025-04-08 14:38:11,158 - INFO - 10.125.46.236 - - [08/Apr/2025 14:38:11] "POST /train HTTP/1.1" 200 -
2025-04-08 14:38:11,161 - INFO -
Master Node: Training triggered successfully.
2025-04-08 14:38:11,162 - INFO -
Main process continues, Flask app running in background.