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aip_sdk.EmbeddingExplorer

aip_sdk.EmbeddingExplorer(frames_by_pipeline: dict[str, pd.DataFrame], diagnostics_by_pipeline: dict[str, PipelineDiagnostics], row_preview: RowPreviewFn | None = None, gallery_preamble_html: str | None = None)

Plot-ready frames and pipeline metadata for every succeeded layout.

aip_sdk.EmbeddingExplorer.diagnostics_by_pipeline​

aip_sdk.EmbeddingExplorer.diagnostics_by_pipeline: dict[str, PipelineDiagnostics]

No docstring is defined in the source.

aip_sdk.EmbeddingExplorer.frames_by_pipeline​

aip_sdk.EmbeddingExplorer.frames_by_pipeline: dict[str, pd.DataFrame]

No docstring is defined in the source.

aip_sdk.EmbeddingExplorer.gallery_preamble_html​

aip_sdk.EmbeddingExplorer.gallery_preamble_html: str | None = None

No docstring is defined in the source.

aip_sdk.EmbeddingExplorer.panel​

aip_sdk.EmbeddingExplorer.panel(*, default_embedding_id: str | None = None) -> Any

Return the ipywidgets Embedding x Colour by explorer.

aip_sdk.EmbeddingExplorer.row_preview​

aip_sdk.EmbeddingExplorer.row_preview: RowPreviewFn | None = None

No docstring is defined in the source.

aip_sdk.EmbeddingExplorer.show​

aip_sdk.EmbeddingExplorer.show(*, default_embedding_id: str | None = None) -> Any

Display the explorer panel in the active Jupyter kernel.

aip_sdk.EmbeddingExplorer.write_html​

aip_sdk.EmbeddingExplorer.write_html(out_dir: str | Path) -> None

Write one static scatter per pipeline (default colour + clusters).