modelq | code generator for creating Golang codes | Database library
kandi X-RAY | modelq Summary
kandi X-RAY | modelq Summary
ModelQ is a code generator for creating Golang codes/models to access RDBMS database/tables
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of modelq
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QUESTION
I have a Car
class, which defines property for the model
of the car.
There are just 3 models possible: 'ModelT', 'ModelQ' and 'ModelX'. So I have decided to define a Model type such as:
...ANSWER
Answered 2019-Mar-17 at 17:20It is not possible to start with a type/interface and get runtime behavior from it. The type system in TypeScript exists only at the time you are writing the program. It is completely erased from the emitted JavaScript that is executed at runtime.
Luckily, you can do the reverse: start with an object that exists at runtime and get the TypeScript compiler to infer an analogous type for it. In your case I'd suggest starting with an array of the values you want to check against, and proceed as described here:
QUESTION
I am new to Rshiny, not sure what I am doing wrong.. Basically, I want to build a multiple linear regression model, which can predict values of the uploaded file based on the model build on the mtcars dataset. This should also allow the user to select the independent variables. However, when I am doing it then its giving me the error:- Reading objects from shinyoutput object not allowed
Please find below the code:
...ANSWER
Answered 2018-May-22 at 13:39Without having some data at hand to reproduce your app its hard to spot the error and makes it more of a guessing game.
So my first guess would be, that you're not handling the reactivity in your app correctly. You're render* functions are calling reactive values, but when no file was uploaded and no Regressor was chosen, there is no data to work with, so it will throw an error. I would suggest checking out the Shiny principles of reactivity and the functions observeEvent, req, validate
.
Then you can remove the lines with is.null(*)
, as the req()
function does that for you.
Next thought, what is mpg
?
And I think you should change summary(modelq())
to summary(modelq)
too, as you just want to print the summary of the object and not call the object.
Calling library(shiny)
once is enough. ;)
In the prediction you are also calling df
, which is not assigned in that function. I added a reactiveValues
object, where you can save other objects in a reactive way. And in your second renderUI we add the data to the reactiveValues object like thisdf$file <- df
. And in the prediticion function you can call the data like this predict(modelq,df$file)
.
I also changed the regformula
to an eventReactive() which will be executed every time you press the action button.
And lastly, I changed to formula creation to as.formula(paste("mpg",'~',paste(input$independents, collapse= "+")))
, as if you only call input$independents, it will only take the first argument.
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