mloda-plugins

# mloda-plugins: Building mloda Plugins ## Check the registry index first Always do this before writing a plugin: it may already exist. mloda-registry publishes community plugins covering common `{col}__{op}` transforms (aggregation, window/scalar/frame aggregate, scalar/point arithmetic, rank, offset, percentile, binning, datetime, string ops, time bucketization, ffill, ema, sessionization, resample); see its [plugins table](https://github.com/mloda-ai/mloda-registry#plugins) for the full list. None of it ships with plain `pip install mloda`; install what you need (`pip install mloda-community` for all, or one package like `pip install "mloda-community-rank[pandas]"`), then confirm what's actually loaded: ```python from mloda.user import PluginLoader from mloda.steward import get_feature_group_docs PluginLoader.all() for fg in get_feature_group_docs(): print(fg.name, fg.description) ``` An empty or unrelated result means it isn't installed yet, not that it doesn't exist; see [02-discover-plugins.md](https://github.com/mloda-ai/mloda-registry/blob/main/docs/guides/02-discover-plugins.md) for more on installed-vs-available. (The `mloda` skill covers the same check for requesting data instead of writing a plugin.) ## The three plugin types | Type | Role | Full guide | |------|------|------------| | **FeatureGroup** | A data transformation, the unit you'll write most often | [09-create-feature-group.md](https://github.com/mloda-ai/mloda-registry/blob/main/docs/guides/...