dnet | Neural Network Library | Machine Learning library

Regarding (1), modify takes a list or an atomic vector. bn_fit is of class bn.fit, bn.fit.dnet, however, under the hood it is a list too, since calling typeof() yields list. My guess is that there is no S3 generic method for subsetting these classes so R figures out that it is essentially a list and accordingly strips the class arguments. So subsetting bn_fit turns it into class list, and therefore you can use modify on it. Subsetting can even be done with empty brackets [], it will just return the object, but this time as class list. An alternative that I use below is to "manually" set the class attribute to NULL via attr(bnfit, "class") <- NULL.

Regarding (2), I wrote a tidyverse based function which can be used to alter the prob table of each node into a bayesm::rdirichlet distribution (see code below). The user still needs to provide part of the alpha argument (the length argument is given by the length of each prob table). Under the hood the function is relying on purrr::modify. It takes care of the classes by stripping them first and adding them back once the modification is done. My approach is to turn the prob tables into data.frames then modify the Freq column and adjust it for existing other variables (groups) and then translate that data.frame back into a table using xtabs and formulation notation via reformulate.

I'm not so deep into bayesian networks, so I do not know to what extent this function can be generalized, or whether it only works on the dataset you provided. Further, please test if the modified object is accepted by functions expecting class bn.fit, bn.fit.dnet.

I tried to comment each step of my code, but please ask if something is not clear.

(3) Regarding your question why NROW(.x) does not work in your code and you have to use NROW(node$prob) instead: This has to do with the way modify loops over the prob tables. A good way to check over what elements modify is looping over is to use purrr::pluck.

The reason that the error appears is that the Observable on the client-side gets garbage collected.

The solution is provided has been provided in the bracket- (Java users: subscribe to it then unsubscribe)

So in your case, you can do something like this:

Cache implements Iterable> so you can iterate over the entries to get the keys and values for each cache, e.g. like this:

You are initializing memberCache in putInCache() method instead of initializing in constructor. With your design, you need to put something in the cache before you can retrieve something. So either initialize it in the constructor or put something in it.

Also note that by default Guice returns a new instance each time it supplies a value. So you may be using one instance while putting stuff into the cache, hence initializing memberCache, but using another instance while retrieving data, in which memberCache is null. You can use @Singleton annotation to inject the same instance of DtoPlan everywhere.

And looks like you are creating a new instance of cache every time you need to put something in it. So you lose the previously stored values. This whole code looks flawed.

Before calling your clearAllCache method, you created a new CacheHelper(). Thus, the cacheManager attribute of this instance is never initialized (you intiliaze it only in the putInCacheFromDb method).
I guess when you call it through API, you have a bean/singleton instance that was called to fill your cache and is then never destroyed. So this instance must be used.

EDIT : To answer the question Why initialize cacheManager in the constructor.
Your current code runs as following :

What you have won't work because you're defining the configuration builder to have a key of String and a value of Person, not a List of Person. Generics doesn't let you get the class of List so you need to implement a wrapper:

As of 2.4.3rc+, Scapy boot time on Windows has been drastically reduced (now using C calls to query Windows): try it out using pip install --pre scapy

Late answer,

First, you can get the latest Scapy version of the GitHub repo, which do not require any other packages than pyreadline. That might improve the loading speed.

Scapy on windows take way more time to load because of the powershell calls that are slow.

Visual Studio for Mac 7 does not support using a Homebrew installation of Azure Functions Core Tools. Visual Studio for Mac 7 ships a copy of the tools and will only use those.

Visual Studio for Mac 8 does support this. It also has a built-in feature to update the templates and Azure Functions Core Tools itself, in a local directory, if it finds these are out of date. The Azure Functions team provide an online feed which Visual Studio for Mac will use. This update feature is available on creating a new Azure Functions project in the New Project.

If are using Visual Studio for Mac 7 you may be able to copy an updated version of the tools to the directory:

I have a loop function to send multiple e-mails, which causes errors because I send a lot of emails at one time, so I give a redirect to every e-mail delivery so that the delivery works normally. The following loop function I have inserted the redirect function, and it works very well :