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feat/mlflow-models-from-code-migration-data-analysis-with-cudf #275

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9926d6f
Delete deep-learning/text-generation-with-rnn/notebooks/models/model.txt
ata-turhan Aug 29, 2025
2d978fc
[refactot] mlflow version update
gabisponciano Sep 2, 2025
059dbaa
[test] Notebook outputs
gabisponciano Sep 3, 2025
bebf474
Merge branch 'main' into feat/mlflow-models-from-code-migration-data-…
ata-turhan Sep 5, 2025
7e93a70
Merge branch 'main' into feat/mlflow-models-from-code-migration-data-…
ata-turhan Sep 11, 2025
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35 changes: 14 additions & 21 deletions .../data-analysis-with-cudf/notebooks/stock-analysis-with-pandas-and-cudf/run-workflow.ipynb
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Expand Up @@ -75,7 +75,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2025-08-16 03:06:21 - INFO - Notebook execution started.\n"
"2025-09-03 14:15:12 - INFO - Notebook execution started.\n"
]
}
],
Expand Down Expand Up @@ -105,8 +105,8 @@
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.3.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m25.2\u001b[0m\n",
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
"Note: you may need to restart the kernel to use updated packages.\n",
"CPU times: user 39.4 ms, sys: 15.1 ms, total: 54.5 ms\n",
"Wall time: 1.58 s\n"
"CPU times: user 39 ms, sys: 4.73 ms, total: 43.7 ms\n",
"Wall time: 994 ms\n"
]
}
],
Expand Down Expand Up @@ -203,7 +203,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2025-08-16 03:06:31 - INFO - Dataset is properly configured\n"
"2025-09-03 14:15:21 - INFO - Dataset is properly configured\n"
]
}
],
Expand Down Expand Up @@ -362,29 +362,22 @@
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2025/08/16 03:06:31 INFO mlflow.tracking.fluent: Experiment with name 'USA Stock Analysis with cuDF' does not exist. Creating a new experiment.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"--- Running Analysis for 5M Rows ---\n",
"Description Time : 1.1264 seconds\n",
"Simple Aggregation : 0.0234 seconds\n",
"Composite Aggregation : 0.0338 seconds\n",
"Rolling Window (7D) : 8.8818 seconds\n",
"Description Time : 1.2282 seconds\n",
"Simple Aggregation : 0.0531 seconds\n",
"Composite Aggregation : 0.0546 seconds\n",
"Rolling Window (7D) : 5.9251 seconds\n",
"\n",
"--- Running Analysis for 10M Rows ---\n",
"Description Time : 0.3196 seconds\n",
"Simple Aggregation : 0.0221 seconds\n",
"Composite Aggregation : 0.0429 seconds\n",
"Rolling Window (7D) : 20.0393 seconds\n"
"Description Time : 0.1727 seconds\n",
"Simple Aggregation : 0.0079 seconds\n",
"Composite Aggregation : 0.0290 seconds\n",
"Rolling Window (7D) : 10.3956 seconds\n"
]
}
],
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"name": "stderr",
"output_type": "stream",
"text": [
"2025-08-16 03:07:02 - INFO - ⏱️ Total execution time: 0m 41.23s\n",
"2025-08-16 03:07:02 - INFO - ✅ Notebook execution completed successfully.\n"
"2025-09-03 14:15:45 - INFO - ⏱️ Total execution time: 0m 33.17s\n",
"2025-09-03 14:15:45 - INFO - ✅ Notebook execution completed successfully.\n"
]
}
],
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30 changes: 15 additions & 15 deletions ...tegration/data-analysis-with-cudf/notebooks/stock-analysis-with-pandas/run-workflow.ipynb
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Expand Up @@ -75,7 +75,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2025-08-16 03:05:10 - INFO - Notebook execution started.\n"
"2025-09-03 14:14:05 - INFO - Notebook execution started.\n"
]
}
],
Expand Down Expand Up @@ -105,8 +105,8 @@
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.3.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m25.2\u001b[0m\n",
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
"Note: you may need to restart the kernel to use updated packages.\n",
"CPU times: user 169 ms, sys: 35.7 ms, total: 205 ms\n",
"Wall time: 8.38 s\n"
"CPU times: user 65 ms, sys: 28.1 ms, total: 93.1 ms\n",
"Wall time: 2.14 s\n"
]
}
],
Expand Down Expand Up @@ -198,7 +198,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2025-08-16 03:05:22 - INFO - Dataset is properly configured\n"
"2025-09-03 14:14:10 - INFO - Dataset is properly configured\n"
]
}
],
Expand Down Expand Up @@ -361,7 +361,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2025/08/16 03:05:22 INFO mlflow.tracking.fluent: Experiment with name 'USA Stock Analysis with Pandas' does not exist. Creating a new experiment.\n"
"2025/09/03 14:14:10 INFO mlflow.tracking.fluent: Experiment with name 'USA Stock Analysis with Pandas' does not exist. Creating a new experiment.\n"
]
},
{
Expand All @@ -370,16 +370,16 @@
"text": [
"\n",
"--- Running Analysis for 5M Rows ---\n",
"Description Time : 2.4176 seconds\n",
"Simple Aggregation : 0.7694 seconds\n",
"Composite Aggregation : 1.7860 seconds\n",
"Rolling Window (7D) : 9.9482 seconds\n",
"Description Time : 0.9825 seconds\n",
"Simple Aggregation : 0.3060 seconds\n",
"Composite Aggregation : 0.7097 seconds\n",
"Rolling Window (7D) : 4.8317 seconds\n",
"\n",
"--- Running Analysis for 10M Rows ---\n",
"Description Time : 3.1168 seconds\n",
"Simple Aggregation : 1.1265 seconds\n",
"Composite Aggregation : 2.2599 seconds\n",
"Rolling Window (7D) : 18.5314 seconds\n"
"Description Time : 1.4483 seconds\n",
"Simple Aggregation : 0.4499 seconds\n",
"Composite Aggregation : 1.1159 seconds\n",
"Rolling Window (7D) : 10.2458 seconds\n"
]
}
],
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"name": "stderr",
"output_type": "stream",
"text": [
"2025-08-16 03:06:04 - INFO - ⏱️ Total execution time: 0m 53.32s\n",
"2025-08-16 03:06:04 - INFO - ✅ Notebook execution completed successfully.\n"
"2025-09-03 14:14:39 - INFO - ⏱️ Total execution time: 0m 33.90s\n",
"2025-09-03 14:14:39 - INFO - ✅ Notebook execution completed successfully.\n"
]
}
],
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2 changes: 1 addition & 1 deletion ngc-integration/data-analysis-with-cudf/requirements.txt
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@@ -1,5 +1,5 @@
# Create the workspace using the RAPIDS Notebooks image within Z by HP AI Studio and select the aistudio kernel for Jupyter notebooks.
# This image includes all the required libraries to run the sample project.

mlflow==2.21.2
mlflow==3.1.0