Seatbelt | Seatbelt is a C# project that performs a number of security oriented host-survey "safety checks" rel
kandi X-RAY | Seatbelt Summary
kandi X-RAY | Seatbelt Summary
Seatbelt is a C# project that performs a number of security oriented host-survey "safety checks" relevant from both offensive and defensive security perspectives. @andrewchiles' HostEnum.ps1 script and @tifkin_'s Get-HostProfile.ps1 provided inspiration for many of the artifacts to collect. @harmj0y and @tifkin_ are the primary authors of this implementation. Seatbelt is licensed under the BSD 3-Clause license.
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QUESTION
I want to see the fitted values by variable while still taking into account all other variables in the model. I would describe these as partial/marginal fitted values. I have a toy example below. This dataset is built into R. Is this possible?
...ANSWER
Answered 2022-Mar-02 at 17:41Here you get the values of the variables with the fitted value of the glm model in a dataframe:
QUESTION
Using the Seatbelts (included in R) data, I want the predictions for the marginal effect of "front". This variable has 170 values. ggeffect()
is only returning predictions for front at the values 400, 500, 600, ...,1300. How can I return all of the predictions?
ANSWER
Answered 2022-Mar-01 at 20:46Under the hood, the function ggeffect
uses the Effect
function from the effects
library to get its data for plotting. If you are interested in seeing the actual numbers predicted at various levels of a particular variable it would be best to get them directly, since it is not the job of ggeffect
to return an arbitrary list of predictions.
We can get a nice data frame of the prediction and confidence interval at any levels you choose by passing them via the xlevels
parameter.
QUESTION
I want to make sure the weights_column arguments in h2o.glm() is the same as the weights argument in glm(). To compare, I am looking at the rmse of both models using the Seatbelts dataset in R. I don't think a weight is needed in this model, but for the sake of demonstration I added one.
...ANSWER
Answered 2022-Feb-10 at 17:39With the glm your predictions are in log form. To compare them you need to use the exponential of the predictions.
QUESTION
I am working on a user-defined function in r to calculate prediction estimate and intervals from a linear regression at 95%. I have a function which replicates the predict.lm() function fit and interval. However when applied to multiple linear regression I have slight differences at the third decimal which I cannot explain why. I do not have a solid theoretical mathematics background so I have used this website and the formulas explained to integrate into my function : https://daviddalpiaz.github.io/appliedstats/multiple-linear-regression.html
Is there errors in my function or is the slight differences due to rounding errors or others marginal errors ? Below, there is the function code and how i applied it to test it:
...ANSWER
Answered 2022-Jan-27 at 11:20Update:
I found the problem, it was at t value t.alpha.demi<- qt(0.975, df=n-2)
which explains why it didn't have the difference with single linear regression but did with multiple.
I changed it to t.alpha.demi<- qt(0.975, df=n-length(beta))
It was a mistake on my end. Regards, Cyril S
QUESTION
I have a model that contains a video files uploaded to my media/videos folder. When i am on the admin page i can see the video and play it. I am now trying to render it on a template but it doesn't let me.
Here is my model:
...ANSWER
Answered 2021-Nov-22 at 18:17You've to use the url of the video in the templates using checklist.video.url
:
QUESTION
I have a simple checklist that a driver in an imaginary scenario would have to tick off before starting his day. To accomplish this i have a model that has all the tick boxes:
...ANSWER
Answered 2021-Nov-10 at 18:07A ModelForm
can also save the data, and will likely be less error prone, you can work with:
QUESTION
I have a data frame that looks like the following:
...ANSWER
Answered 2021-Oct-12 at 10:39Use itertools.product
with list of months passed to DataFrame constructor:
QUESTION
I have a large JSON object. A piece of it is:
...ANSWER
Answered 2021-Aug-15 at 09:25You can use the keys as a tuple (4 tuple) and implement your own counter
QUESTION
I have a large JSON object. A piece of it is:
...ANSWER
Answered 2021-Aug-15 at 09:29Okay, so first you need to get all of the actual "infos" from your json data like so:
QUESTION
How can I get a list of the exact names of the objects in the datasets package?
I found many of them here:
...ANSWER
Answered 2021-Aug-07 at 17:53There is a note on the ?data
help page that states
Where the datasets have a different name from the argument that should be used to retrieve them the index will have an entry like
beaver1 (beavers)
which tells us that datasetbeaver1
can be retrieved by the calldata(beavers)
.
So the actual object name is the thing before the parentheses at the end. Since that value is returned as just a string, that's something you'll need to remove yourself unfortunately. But you can do that with a gsub
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