Hi, I am following fraud detection solution in my local jupytor notebook trying to access GDS Featurizer Class but running into errors.
Solution: [graph-ml-notebooks/applications/fraud_detection/fraud_detection.ipynb at main · tigergraph/graph-ml-notebooks · GitHub]
with open(‘C:/Users/gunja/Documents/AI-ML/data/config.json’, “r”) as config_file:
config = json.load(config_file)
conn = TigerGraphConnection(
host=config[“host”],
username=config[“username”],
password=config[“password”]
)
config content:
{
“host”: “https://665f2bee8f6f40b3a88475e903f973ad.i.tgcloud.io”,
“username”: “ankur”,
“password”: “Mypa*******24!”,
“getToken”: true
}
Error: ---------------------------------------------------------------------------
HTTPError Traceback (most recent call last)
Cell In[4], line 1
----> 1 f=conn.gds.featurizer()
File ~\AppData\Roaming\Python\Python311\site-packages\pyTigerGraph\gds\gds.py:1593, in GDS.featurizer(self, repo, algo_version)
1569 def featurizer(
1570 self,
1571 repo: str = None,
1572 algo_version: str = None) → Featurizer:
1573 “”“Get a featurizer. The Featurizer enables installation and execution of algorithms in the Graph Data Science (GDS) libarary.
1574 The Featurizer pulls the most up-to-date version of the algorithm available in our public GitHub repository that is
1575 compatible with your database version.
(…)
1591 Featurizer
1592 “””
HTTPError: 403 Client Error: Forbidden for url: https://665f2bee8f6f40b3a88475e903f973ad.i.tgcloud.io:443/restpp/version