@@ -86,7 +86,7 @@ python3 .ci/scripts/benchmark_tooling/analyze_benchmark_stability.py \
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Filter by multiple private device pools and models:
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``` bash
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# This fetches all private table data for models 'llama-3.2-1B' and 'mv3'
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- python3 get_benchmark_analysis_data.py \
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+ python3 .ci/scripts/benchmark_tooling/ get_benchmark_analysis_data.py \
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--startTime " 2025-06-01T00:00:00" \
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--endTime " 2025-06-11T00:00:00" \
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--device-pools ' apple_iphone_15_private' ' samsung_s22_private' \
@@ -97,7 +97,7 @@ Filter by specific device pool and models:
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``` bash
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# This fetches all private iPhone table data for models 'llama-3.2-1B' and 'mv3',
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# and associated public iPhone data
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- python3 get_benchmark_analysis_data.py \
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+ python3 .ci/scripts/benchmark_tooling/ get_benchmark_analysis_data.py \
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--startTime " 2025-06-01T00:00:00" \
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--endTime " 2025-06-11T00:00:00" \
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--device-pools ' apple_iphone_15_private' \
@@ -140,22 +140,6 @@ fetcher.run(
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end_time = " 2025-06-17T18:00:00"
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)
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- # Get results in different formats
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- # As DataFrames
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- df_results = fetcher.to_df()
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-
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- # Export to Excel
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- fetcher.to_excel(output_dir = " ./results" )
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-
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- # Export to CSV
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- fetcher.to_csv(output_dir = " ./results" )
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-
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- # Export to JSON
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- json_path = fetcher.to_json(output_dir = " ./results" )
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-
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- # Get raw dictionary results
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- dict_results = fetcher.to_dict()
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-
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# Use the output_data method for flexible output
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results = fetcher.output_data(output_type = " excel" , output_dir = " ./results" )
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```
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