Impact 2024: The Industrial Data and AI Conference for and by Users | Nominate Speakers Now for a Ch...
Thank you. My account is unfortunately not added as an external user to the “Cognite AS” tenant, so I can’t open the link provided.
Is it possible to change this to the maximum available cores per function call? In that case, where do we set this? Or is the maximum the default?
@Neringa Altanaite @Knut Vidvei @Arun Arunachalam As I see it, scheduled calculations of aggregates are not consistent in Charts. As of now, the aggregated result for each aggregation period depends on the saved schedule of your calculation. The attached image tries to illustrate the issue. I have set up five different schedules for the same aggregated calculation (daily mean of blue input signal). The schedules were created at around 12 pm, 18 Dec. The input signal only has no values from 5 am, 18 Dec and onwards. Thus, the 1 hour and 15 minute schedules don’t provide any daily average value for 18 Dec. The 12 hour and 1 day schedules both cover all datapoints of 18th Dec when called at 12 pm, 18 Dec, and thus gives the same daily average value, while the 9 hour schedule gives a different value since it only covers around 75% of datapoints for this date. The same principle explains the deviated result at 17 Dec for the 12 hour and 1 day schedules. Optimally, I think it should be possi
@kelvin Absolutely, it would be great to have a discussion about the problem and the potential. Sent you a PM 😊
Thanks for your reply @kelvin.I definitely think that our own company’s InDSL extension would be most valuable. I imagine a workflow where contributions to our InDSL version is governed internally through pull requests towards a (forked) Github repository dedicated for this version. The hope is to facilitate a simpler and faster deployment process of new calculations (testing, validation, permission, etc, ...).Relevant functions span from basic to more advanced, for instance:Basic functions:Calculate datetime-specific aggregate of time series (e.g., mean for each date, rather than mean for 1-day period) Replace all values that falls outside an interval with a fixed value (reminds of clip function, but possibility to replace with arbitrary value, not just boundary values of interval)Advanced functions:Lowess filtering (e.g., from statsmodels package) Multivariate analysis (e.g., vector autoregression)By having a dedicated Charts environment for our company, I think it would make it easi
Thanks for the answer, @Neringa Altanaite.A follow-up question: Is it possible to perform aggregations on date-specific properties? I would like to run a calculation on a source signal and then calculate the daily average of the result, i.e., the average for each date, not from time_scheduled_was_created to (time_scheduled_was_created + 1 day). Any functionality for this?Thanks again.
Already have an account? Login
Enter your username or e-mail address. We'll send you an e-mail with instructions to reset your password.
Sorry, we're still checking this file's contents to make sure it's safe to download. Please try again in a few minutes.
Sorry, our virus scanner detected that this file isn't safe to download.