Assign an unknown/novel class when all nearest-neighbor distances exceed a tuned cutoff threshold for open-set…
EnglishUses packpaddedsequence to exclude padding tokens from cross-entropy loss in variable-length sequence generation.
EnglishGroup variable-length sequences into length-sorted buckets before batching to minimize padding waste during seq2seq…
EnglishGenerates geographically proximate candidate pairs for entity matching using KNN with haversine distance, optionally partitioned by country.
EnglishFills unfilled recommendation slots with globally popular recent items to handle cold-start users and short lists.
EnglishGenerates recommendation candidates by ranking a customer's purchase history by frequency and recency within a recent window.
EnglishOverride model predictions with last known value for low-activity or low-density entities where learned trends are…
EnglishWalk-forward stacking ensemble that trains base models on expanding windows and a meta-learner on their out-of-fold predictions across…
EnglishComputes all numeric RDKit molecular descriptors from SMILES strings, filtering out NaN, constant, and infinite values to produce a clean feature matrix.
UncertainDerive angular velocity from consecutive quaternion frames via relative rotation and rotvec…
LatinIncludes Cv Open Set Distance Cutoff, Cv Pack Padded Sequence Loss, Nlp Bucket Batching Seq2seq, and other workflows.
Supported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Cv Open Set Distance Cutoff
Assign an unknown/novel class when all nearest-neighbor distances exceed a tuned cutoff threshold for open-set recognition
Cv Pack Padded Sequence Loss
Uses packpaddedsequence to exclude padding tokens from cross-entropy loss in variable-length sequence generation.
Nlp Bucket Batching Seq2seq
Group variable-length sequences into length-sorted buckets before batching to minimize padding waste during seq2seq inference
Tabular Haversine Knn Candidate Generation
Generates geographically proximate candidate pairs for entity matching using KNN with haversine distance, optionally partitioned by country.
Tabular Popularity Fallback Recommendation
Fills unfilled recommendation slots with globally popular recent items to handle cold-start users and short lists.
Tabular Recency Weighted Candidate Generation
Generates recommendation candidates by ranking a customer's purchase history by frequency and recency within a recent window.
Timeseries Activity Threshold Lastval Fallback
Override model predictions with last known value for low-activity or low-density entities where learned trends are unreliable
Timeseries Expanding Window Stacking
Walk-forward stacking ensemble that trains base models on expanding windows and a meta-learner on their out-of-fold predictions across time
Tabular Rdkit Molecular Descriptors
Computes all numeric RDKit molecular descriptors from SMILES strings, filtering out NaN, constant, and infinite values to produce a clean feature matrix.
Timeseries Quaternion Angular Velocity
Derive angular velocity from consecutive quaternion frames via relative rotation and rotvec conversion
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Use the Cv Open Set Distance Cutoff skill to help with my task.
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