feat: implement reproducible PROTEAN baseline pipeline
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@@ -13,6 +13,13 @@
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# All preprocessed caches, partitions, manifests, checkpoints and analysis
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# outputs must be written under `generated_root` (default: artifacts/), never
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# back into the raw dataset directory.
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#
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# PREPROCESSING CONTRACT (frozen 2026-09-24, see docs/research/EXPERIMENT_PROTOCOL.md)
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# * `categorical_columns` are one-hot encoded with categories fitted on the
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# TRAIN split only; an explicit "__MISSING__" category is added.
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# * every other feature column is coerced to numeric (missing tokens -> NaN),
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# median-imputed and standardized using TRAIN statistics only.
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# * `non_feature_columns`, the label column and its aliases are never features.
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generated_root: artifacts
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@@ -30,7 +37,13 @@ datasets:
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drop_labels:
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- crypto-ransomware
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# '-' is the dataset's documented missing placeholder, not an empty string.
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missing_tokens: ["-", "?"]
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missing_tokens: ["-", "?", "#DIV/0!", "aza"]
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drop_duplicate_rows: true
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# Feature columns that must be treated as categorical (one-hot).
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categorical_columns:
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- Protocol
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- Service
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- anomaly_alert
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# Columns that are identifiers / timestamps / network endpoints and must NOT
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# be used as model features without an explicit, documented decision.
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non_feature_columns:
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@@ -42,7 +55,7 @@ datasets:
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- Des_port
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notes: >
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Row-level missing placeholders ('-') and a small number of malformed tokens
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(e.g. '?', 'aza') exist. Exact duplicate rows are present. See
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(e.g. '?', 'aza', '#DIV/0!') exist. Exact duplicate rows are present. See
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docs/research/DATASET_INSPECTION.md.
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5gnidd:
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@@ -57,9 +70,16 @@ datasets:
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benign_label: Benign
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drop_labels: []
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missing_tokens: [""]
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# First column is an unnamed row index. Seq / Offset are flow-ordering fields.
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drop_duplicate_rows: true
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categorical_columns:
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- Proto
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- sDSb
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- dDSb
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- Cause
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- State
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# The first column is an unnamed row index. Seq / Offset are flow-ordering fields.
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non_feature_columns:
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- ""
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- "Unnamed: 0"
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- Seq
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- Offset
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notes: >
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