Data Source

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NDJSON folder (zip) or individual files

Engineers

Engineer ID Activities Split Internal Bot Sources Projects
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Logs

Pipeline Status

B1
Stats
B2
Embed
B3
Normalize
B4
Prep
B5
Train
B6
Score
B7
SHAP

Run Pipeline

Full Pipeline
Run all steps from the beginning
Requires: activities.csv
From Training
Skip embedding, start at normalization
Requires: embeddings, aux_features
From Batch Scoring
Re-score with existing model
Requires: checkpoint, embeddings, aux_features, message_database
SHAP Only
Re-run SHAP analysis
Requires: checkpoint, activations

R2 Storage Status

Processing Logs

Pattern Naming

Generate human-readable names and descriptions for discovered patterns using LLM analysis.

Patterns

0 patterns
No patterns available. Run processing pipeline first.

Naming Logs

Score Individual Engineer

Scoring Logs