anomaly | Easy-to-use anomaly detection for Ruby | Predictive Analytics library

I am trying to set up a new custom condition for Azure monitor alert rule, but when I enter my kql query it doesn't show the expected data. When I run the same query in Logs it outputs 9 rows that fulfil my condition, but for some reason, no data are shown in the Monitor Alerts.

I can see that the problem is in the last condition | where Anomaly has "1" as I get data when I delete this condition - but I need to have it included in the query (or at least a similar version of it). Any suggestions? (I have tried also contains and == but it gives the same problem)

I created an app that heavily relies on asyncio, and which uses additional third party library that also relies on asyncio (to deal with websockets).

With few websockets opened, my code works fine. When I increase the number of websockets I start having some exceptions. In order to debug the anomaly, I tried to surround the lines within my code that generates the exception with a try: except ValueError: and put a breakpoint in the except part.

For instance, the here under exception was raised

I have struggle understanding the following anomaly, though I am sure it is ridiculously simple.

I have a list raw_ticker, with the following values:

It has been a few days since I experienced this anomaly but it is quite incomprehensible ... so I tried to push this problem to stackoverflow, so when I clicked the sidebar with treeview it didn't change even though I did the same thing as was done on jetstream and pingcrm, here are the anomalies that occur

anomalous form

I want to use pytorch DistributedDataParallel for adversarial training. The loss function is trades.The code can run in DataParallel mode. But in DistributedDataParallel mode, I got this error. When I change the loss to AT, it can run successfully. Why can't run with trades loss? The two loss functions are as follows：

-- Process 1 terminated with the following error:

I am trying to do searching in the table view, with the throttle.

Here I have BehaviorRelay in ViewModel

I'm developing an application which uses a SQLite in-memory database and the anomaly is the following:

Used query:

In the latest version of the Anomaly Detection Service by Azure which supports the Multi-variate Cognitive Service, we need to train a model and then consume it.

The quickstart documentation for Python mentions a few libraries which are not getting imported:

While learning Azure Log processing I started recording simple queue counts as metrics via AppInsight. Currently I process them in a fairly simple way and show them in a same graph.

The simple query is like