hooves | Rack handler for unicorn meant | Application Framework library
kandi X-RAY | hooves Summary
kandi X-RAY | hooves Summary
Rack handler for unicorn meant to be used with `rails server`
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of hooves
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QUESTION
Been trying to get a ViewModel using a SavedStateModel working for ages now. Please tell me I'm missing something completely obvious, I've gone down to a very basic activity and still can't work it out. It persists going back to the home screen and back in (though I guess that's a ViewModel thing in general) but not when the app is killed.
Here's the Android Studio project zipped up, sorry for my stupidity not providing it in the first place: https://www.slasheethecow.com/code/MooSavedState.zipEdit: Rather than having to copy/paste all of those I zipped up the Android Studio project. Removed a bunch of other (more complicated) activities and such but I'm pretty sure it'll still work.
Here's the activity, CowSaved.kt:
...ANSWER
Answered 2021-Mar-05 at 10:00Posted this over on reddit and apparently I was mooing up the wrong tree all the time to begin with, SavedState apparently isn't for this like I thought it was.
Sorry to anyone who spent their time going through this!
QUESTION
I want perform minutes forecast for variable sales
...ANSWER
Answered 2019-Sep-20 at 14:48max, not sure if the ARIMA results are good here but hopefully this will give you enough info to get unstuck as it shows how to apply a model to groups:
QUESTION
In this data
...ANSWER
Answered 2019-Jan-15 at 15:21What you need is
QUESTION
timeseries=structure(list(Data = structure(c(10L, 14L, 18L, 22L, 26L, 29L,
32L, 35L, 38L, 1L, 4L, 7L, 11L, 15L, 19L, 23L, 27L, 30L, 33L,
36L, 39L, 2L, 5L, 8L, 12L, 16L, 20L, 24L, 28L, 31L, 34L, 37L,
40L, 3L, 6L, 9L, 13L, 17L, 21L, 25L), .Label = c("01.01.2018",
"01.01.2019", "01.01.2020", "01.02.2018", "01.02.2019", "01.02.2020",
"01.03.2018", "01.03.2019", "01.03.2020", "01.04.2017", "01.04.2018",
"01.04.2019", "01.04.2020", "01.05.2017", "01.05.2018", "01.05.2019",
"01.05.2020", "01.06.2017", "01.06.2018", "01.06.2019", "01.06.2020",
"01.07.2017", "01.07.2018", "01.07.2019", "01.07.2020", "01.08.2017",
"01.08.2018", "01.08.2019", "01.09.2017", "01.09.2018", "01.09.2019",
"01.10.2017", "01.10.2018", "01.10.2019", "01.11.2017", "01.11.2018",
"01.11.2019", "01.12.2017", "01.12.2018", "01.12.2019"), class = "factor"),
client = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L), .Label = c("Horns", "Kornev"), class = "factor"), stuff = structure(c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("chickens",
"hooves", "Oysters"), class = "factor"), Sales = c(374L,
12L, 120L, 242L, 227L, 268L, 280L, 419L, 12L, 172L, 336L,
117L, 108L, 150L, 90L, 117L, 116L, 146L, 120L, 211L, 213L,
67L, 146L, 118L, 152L, 122L, 201L, 497L, 522L, 65L, 268L,
441L, 247L, 348L, 445L, 477L, 62L, 226L, 476L, 306L)), .Names = c("Data",
"client", "stuff", "Sales"), class = "data.frame", row.names = c(NA,
-40L))
...ANSWER
Answered 2019-Jan-13 at 10:13This might be of help
QUESTION
Let's work with this data sample
...ANSWER
Answered 2018-Dec-25 at 18:58Those values are known as fitted values and they can be obtained with the function fitted
as follows:
QUESTION
Let's work with this data sample
...ANSWER
Answered 2018-Dec-25 at 14:45The start
parameter in listed_ts
isn't supposed to be a date:
start --- the time of the first observation. Either a single number or a vector of two integers, which specify a natural time unit and a (1-based) number of samples into the time unit. See the examples for the use of the second form.
(From ?ts
.) So, instead using start = c(2017, 1)
does the job.
QUESTION
Here example of my dataset
...ANSWER
Answered 2018-Dec-25 at 09:58Some parts are not too much clear in your script and your data, so I can try to give you a partial answer, to see how to get the result you want:
QUESTION
i have dataset and i have to perform daily forecast splited by groups. The group is client+stuff
...ANSWER
Answered 2018-Feb-12 at 18:40You can use split
to split the data into groups by a combination of factors, in this case columns client
and stuff
.
QUESTION
I have two classes that inherit from a common parent. I would like to have one common JSON reader in the parent that will return an appropriate child based on supplied JSON. It is easier to explain this with a sample snippet below;
...ANSWER
Answered 2017-Sep-10 at 04:37You could try to make an custom reader like this:
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