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Merge pull request #6 from alibuild/alibot-cleanup-ml-17419
[MegaLinter] Apply linters automatic fixes to #17419
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‎Tools/PIDFeatureExtractor/README.md‎

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@@ -35,18 +35,18 @@ Mode is a runtime switch - enable `processData` for real data or
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### PidFeatureExtractor options
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| Option | Default | What it does |
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|---|---|---|
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| `outputPath` | `pid_features` | Output file base name |
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| `exportROOT` | `true` | Write a ROOT file |
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| `exportCsv` | `false` | Also write CSV |
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| `etaMin` / `etaMax` | `-99` / `99` | Eta cut - wide open by default (no cut) |
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| `ptMin` / `ptMax` | `0` / `9999` | pT cut, GeV/c - wide open by default |
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| `dcaXYMax` / `dcaZMax` | `9999` / `9999` | DCA cuts, cm - wide open by default |
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| `itsMinClusters` | `0` | Minimum ITS clusters - `0` = no cut |
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| `tpcMinClusters` | `0` | Minimum TPC clusters - `0` = no cut |
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| `computeBayesianPid` | `true` | Compute the comparison Bayesian posterior |
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| `bayesianPriors` | flat (`1,1,1,1`) | Per-species priors `[pi, ka, pr, el]` for the Bayesian posterior |
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| Option | Default | What it does |
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|------------------------|------------------|------------------------------------------------------------------|
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| `outputPath` | `pid_features` | Output file base name |
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| `exportROOT` | `true` | Write a ROOT file |
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| `exportCsv` | `false` | Also write CSV |
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| `etaMin` / `etaMax` | `-99` / `99` | Eta cut - wide open by default (no cut) |
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| `ptMin` / `ptMax` | `0` / `9999` | pT cut, GeV/c - wide open by default |
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| `dcaXYMax` / `dcaZMax` | `9999` / `9999` | DCA cuts, cm - wide open by default |
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| `itsMinClusters` | `0` | Minimum ITS clusters - `0` = no cut |
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| `tpcMinClusters` | `0` | Minimum TPC clusters - `0` = no cut |
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| `computeBayesianPid` | `true` | Compute the comparison Bayesian posterior |
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| `bayesianPriors` | flat (`1,1,1,1`) | Per-species priors `[pi, ka, pr, el]` for the Bayesian posterior |
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All the cuts default to "off" - tighten them in your config if you want
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quality selection applied here rather than downstream.
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### PidOnnxInference options
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| Option | Default | What it does |
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|---|---|---|
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| `inputRootFile` | `pid_features_data.root` | File written by `PidFeatureExtractor` |
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| `inputTreeName` | `pid_features` | Tree name inside it |
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| `outputPath` | `pid_predictions` | Output file base name |
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| `exportCsv` | `false` | Also write CSV |
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| `loadModelFromCcdb` | `true` | Load the model from CCDB; set `false` to use a local file instead |
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| `ccdbUrl` | `http://alice-ccdb.cern.ch` | |
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| `modelPathsCcdb` | *(placeholder)* | CCDB path to your model - set this to a real path before running |
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| `timestampCcdb` | `-1` | `-1` = latest |
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| `onnxFileNames` | `pid_feature_model.onnx` | Local model file, used when `loadModelFromCcdb` is `false` |
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| `useTPC` | `true` | Include TPC. Set `false` to exclude it from inference regardless of the data |
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| `useTOF` | `true` | Include TOF |
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| `useTRD` | `true` | Include TRD |
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| `useITS` | `true` | Include ITS |
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| `useEMCal` | `true` | Include EMCal |
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| `useHMPID` | `true` | Include HMPID |
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| `useCentrality` | `true` | Include event centrality |
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| Option | Default | What it does |
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|---------------------|-----------------------------|------------------------------------------------------------------------------|
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| `inputRootFile` | `pid_features_data.root` | File written by `PidFeatureExtractor` |
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| `inputTreeName` | `pid_features` | Tree name inside it |
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| `outputPath` | `pid_predictions` | Output file base name |
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| `exportCsv` | `false` | Also write CSV |
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| `loadModelFromCcdb` | `true` | Load the model from CCDB; set `false` to use a local file instead |
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| `ccdbUrl` | `http://alice-ccdb.cern.ch` | |
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| `modelPathsCcdb` | *(placeholder)* | CCDB path to your model - set this to a real path before running |
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| `timestampCcdb` | `-1` | `-1` = latest |
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| `onnxFileNames` | `pid_feature_model.onnx` | Local model file, used when `loadModelFromCcdb` is `false` |
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| `useTPC` | `true` | Include TPC. Set `false` to exclude it from inference regardless of the data |
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| `useTOF` | `true` | Include TOF |
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| `useTRD` | `true` | Include TRD |
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| `useITS` | `true` | Include ITS |
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| `useEMCal` | `true` | Include EMCal |
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| `useHMPID` | `true` | Include HMPID |
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| `useCentrality` | `true` | Include event centrality |
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Output columns are `mlProbPi`, `mlProbKa`, `mlProbPr`, `mlProbEl` (one
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probability per species) and `mlPredictedClass` (the most likely species,

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