Update README.md
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README.md
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- mobsf
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- classification
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- security
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library_name: pytorch
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pipeline_tag: text-classification
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metrics:
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- f1
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@@ -49,9 +48,6 @@ MobSF can be automated via its REST API to upload, scan, and retrieve reports, w
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3. Extract/transform features into the format expected by the model.
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4. Run inference with the model and attach the result back into the workflow (CI/CD, dashboard, etc.).
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###
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# 1) Call MobSF API -> get report_json
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# 2) features = feature_extractor(report_json)
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# 3) y_hat = model.predict(features)
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- mobsf
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- classification
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- security
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pipeline_tag: text-classification
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metrics:
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- f1
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3. Extract/transform features into the format expected by the model.
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4. Run inference with the model and attach the result back into the workflow (CI/CD, dashboard, etc.).
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### USAGE API MOBSF (pseudo)
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https://github.com/H4ch1rou/NyerAndroidMalwarePOC
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