Comments (3)
Hi @gpetrochenkov-usgs,
Due to how the library is built, most methods are inferred under the hood as you type them via a string building scheme, using __getattr__
. That is why they are not visible when you call dir()
, but they should all be there.
So even if gds.shortestPath.dijkstra.stream
is not discoverable with dir()
you should be able to call it.
Does that make sense? We should perhaps document this somewhere to avoid confusion.
from graph-data-science-client.
Yes that does make sense. I've had success using it so. Adding that to the documentation would be helpful. Although there is parity with what is listed in gds.list()
, is there a way to change what is yielded and returned in case all the data wasn't necessary? Sometimes in streaming operations the data passed to the client would understandably freeze the process.
from graph-data-science-client.
Yes that does make sense. I've had success using it so. Adding that to the documentation would be helpful. Although there is parity with what is listed in
gds.list()
, is there a way to change what is yielded and returned in case all the data wasn't necessary? Sometimes in streaming operations the data passed to the client would understandably freeze the process.
Yes, I could imagine we use gds.list()
in an override implementation of __dir__
on GraphDataScience
actually. I've added an internal ticket to add docs for this now though.
At this time there's no support for yielding specific things, but it might come soon :)
Thanks for your feedback @gpetrochenkov-usgs
from graph-data-science-client.
Related Issues (19)
- I tried the example demo but failed.. HOT 3
- streamNodeProperty() doesn't work with gds.run_cypher() as I guess HOT 27
- gds.degree.stream not respecting orientation? HOT 4
- ModuleNotFoundError: No module named 'gdsclient.algo' HOT 2
- Set target database within initial constructor call HOT 3
- Relationship Orientation during graph construction with dataframes HOT 3
- GraphSAGE doesn't train with differing node properties
- Add convenience methods over train_result from `pipeline.train()` HOT 1
- Add more jupyter notebooks HOT 4
- Return query results as pandas dataframe HOT 3
- Collaborate on a GDS + DGL pipeline? HOT 1
- GDS project.cypher progressbar only takes node loading into account? HOT 2
- Neo.ClientError.Procedure.ProcedureCallFailed when constructing a GDS graph object from DataFrame HOT 5
- issue when running the example kge-predict-transe-pyg-train.ipynb HOT 3
- nodeLabels are not returned appropriately HOT 7
- Security Vulnerability HOT 2
- uri keyword parameter missing HOT 3
- Test
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