Graphistry

Added

* Personal keys: `register(personal_key_id=..., personal_key_secret=...)`
* SSO: `register()` (no user/pass), `register(idp_name=...)` (org-specific IDP)

Fixed

* Type errors

Added

* AI: `umap(engine='cuml')` now supports older RAPIDS versions via knn fallback for edge creation. Also: `"umap_learn"`, defaults to `"auto"`
* `prune_self_edges()` to drop any edges where the source and destination are the same

Fixed

* Infra: Updated github actions versions and Ubuntu environment for publishing

Added

* AI: full text & semantic search (`g.search(..)` and `g.search_graph(..).plot()`)
* Featurization: support for dataframe columns that are list of lists -> multilabel targets
set using `g.featurize(y=['list_of_lists_column'], multilabel=True,...)`
Only supports single-column data targets

Changed

* Infra: Updated github actions

Fixed

* `encode_axis()` now correctly sets axis
* work around mypy mistyping operator & on pandas series

Changed

* Speed up `g.umap()` >100x by using cuML UMAP engine
* Drop official support for Python 3.6 - its LTS security support stopped 9mo ago
* neo4j: v5 support - backwards-compatible changing derefs from id to element_id

Added

* umap: Optional `engine` parameter (default `cuml`) for `UMAP()`
* ipynb: UMAP purpose, functionality and parameter details, with general UMAP notebook planned in future (features folder)

Fixed

* has_umap: removed as no longer necessary

Added

* neo4j: v5 support (experimental)

Changed

* Infra: suppress igraph pandas FutureWarnings