Graph Data Science client 1.0.0
The first official major release, 1.0.0
, of graphdatascience
, the GDS Python client, has been published to PyPI!
Highlights:
- Replaced all
dict
return types with pandasSeries
. - Replaced all
list[dict,...]
return types with pandasDataFrame
. - Replaced NC and LP training pipelines method
configureParams
by new methodsaddLogisticRegression
andaddRandomForest
. - All procedures of the GDS Pipeline catalog are supported.
- The NC and LP training pipelines support estimating
train
via atrain_estimate
method. - All ML models support estimating
predict
viapredict_[mode]_estimate
methods. - Removed support for GDS 1.x
graph.create
syntax.
Read more in the changelog.
The release can be pip installed with pip install graphdatascience==1.0.0
.