@mailbox_org@LinuxIsLove Sehr verwirrend dass man plötzlich nicht mehr das Guthaben sieht oder wieviel Guthaben man davor hatte. Wenn das Guthaben davor noch für 10 Monate gereicht hatte, bekommt man dann trotzdem die 2 Monate extra oder muss ich nochmal 10 Monate kaufen?
@marsupialtail_2@waitingforcode (4) If you have columns on the left side which are not on the right side, you will need an additional aggregation to merge the first and second row of each group.
Disclaimer: I am one of the maintainers of the Hopsworks platform.
@marsupialtail_2@waitingforcode (3) Then using a window function like rank to figure out the second row within each key/timestamp group. Which will always have the columns from the right side.
@GarminFitness Why would you include the current day in the 7-day average statistics on Garmin Connect?
The statistics are basically useless unless you look at them late in the evening.
At east set the cutoff point for the included data at -7x24h then ...
AdventOfCode just became a whole lot easier... @ericwastl I think you need to build in some safe guards :)
Not posting the whole code, but it took me three iterations to get a working version from ChatGPT, starting with the unmodified text of the puzzle.
Are you attending @PyDataGlobal? Check
@morimeister's talk on 'Data Validation for Feature pipelines: Using @expectgreatdata and #Hopsworks
We'll discuss different #Python DV libraries and explore GE concepts for feature pipelines and feature stores
https://t.co/HAp84krLfP
Wanna build this system?
Then you need a serverless Feature Store, like @hopsworks
→ It is 100% Python 🐍
→ Great tutorials and documentation 📚
→ 10GB of free storage, so you build this project for free 😎
Click on this link to register for FREE ↓
https://t.co/3S6qDS6B0L
second workshop of the day that involves @huggingface Spaces & @Gradio, delivered by @jim_dowling 🤩 check out his free course on serverless ML here 👉🏼 https://t.co/98qP0sHXiB
Some exciting upcoming MLOps technologies
* @zenml_io is bringing a framework that is integrating many well-known ML tools
* @hopsworks has brought a very interesting serverless infrastructure for MLOps
* @Diffgram is an OSS Training Data Platform (Annotation,Catalog/Workflow)
A free conference on Feature Engineering from @hopsworks!
You'll hear from people who have seen the good, bad and ugly side of the feature stores and learn from their experiences.
Join for free here: https://t.co/ABexho9hhh