Demetrius Bell

``` [ { "database": "pg_db", "index": "es_index", "nodes": { "table": "entity", "schema": "er", "columns": [ "entity_id", "name" ], "children": [ { "table": "address", "schema": "er", "columns": [ "city", "state", "country"...

This helped me. The `ospd-openvas.sock` is misconfigured in the helm chart's `./templates/gvmd-deployment.yaml` file. Applying the following patch should solve the problem. ``` diff --git a/chart/gvm/templates/gvmd-deployment.yaml b/chart/gvm/templates/gvmd-deployment.yaml index 7e54794..a36737d 100644 ---...

i found a solution to this problem. change line 407 in alexa_communication.py to: "context":[],

Not sure how to or if it's worth making a pull request for this, but here is the change I made to get airflow scheduler back working. ``` diff --git...

i'm still having this issue on 2.2.5 any updates on this ticket or when it may get fixed. In the mean time i'm using the code snippet provided by @Chris7

> Just be aware @meetri that you get the software for free - and a lot of the people contribute to it for free. And the best value you can...

Same issue here. I did notice after including multiple categories in my data I got more variation in the prediction

> Can you please elaborate on what you mean by including more categories? Are you talking about static categories? You mean more predictors? I can try it and update it...