jackknife | ⚔️ King of the Golden Wheel

 by   JackWHLiu Java Version: 4.10.36 License: Apache-2.0

kandi X-RAY | jackknife Summary

kandi X-RAY | jackknife Summary

jackknife is a Java library. jackknife has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

⚔️ King of the Golden Wheel, oh no, Master Wheel will take you to play with Android, it's time to try MVVM. This is a family bucket library for Android application development, supporting Kotlin+MVVM+Dagger2+Retrofit architecture.
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              jackknife has a low active ecosystem.
              It has 214 star(s) with 42 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              jackknife has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of jackknife is 4.10.36

            kandi-Quality Quality

              jackknife has no bugs reported.

            kandi-Security Security

              jackknife has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              jackknife is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              jackknife releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

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            jackknife Key Features

            No Key Features are available at this moment for jackknife.

            jackknife Examples and Code Snippets

            Calculate the jackknife estimator .
            pythondot img1Lines of Code : 16dot img1no licencesLicense : No License
            copy iconCopy
            def jackknife_estimator(datalist, function):
                """
                Estimates the mean and standard deviation of a statistic using Jackknife (leave one out) method.
            
                @param datalist: List containing the data
                @param function: Function to process the leav  

            Community Discussions

            QUESTION

            Perl: calculate jackknife error from of each column of a multi-column file
            Asked 2020-Dec-15 at 08:52

            I am trying to calculate the jacknife average and error of each column in a multi-column file. My example data file look like this:

            ...

            ANSWER

            Answered 2020-Dec-15 at 08:19

            This part of your code

            Source https://stackoverflow.com/questions/65301636

            QUESTION

            pairs plot not downloading from shiny
            Asked 2019-May-06 at 07:13

            I am making a shiny app to display different kind of panelplots from several r packages.

            The app works as expected expect when i try to download the plot. Every time i download one of plot it turns out empty or it cannot be opened.

            I have been trying for days to get it working but no luck. Hope anyone can help

            ...

            ANSWER

            Answered 2019-May-06 at 07:13

            I don't know the rationale behind it, but changing the plotInput from a reactive to a static function and insert that into the output$panelplots did the trick

            Source https://stackoverflow.com/questions/55836945

            QUESTION

            PLS in R: Model training and predicting values with two Y variables
            Asked 2018-Nov-27 at 12:30

            I' ve like to model training and predicting values using PLS model for more than one Y variables, but I have some problems when I try this approach, in my code below:

            ...

            ANSWER

            Answered 2018-Nov-27 at 12:30

            You can either use two separate PLS-models make predictions and combine results into single data frame manually or make one (PLS2) model for both predictors. The second makes sense only if the response variables are correlated. Seems like there is no straightforward option for PLS2 regression in plsr package. You can try:

            1. Call simpls.fit method directly (although authors do not recommend this). See for example: https://www.rdocumentation.org/packages/pls/versions/2.7-0/topics/simpls.fit. In this case you can specify Y as a matrix or data frame with two columns.

            2. Use other package with PLS2, e.g. https://www.rdocumentation.org/packages/plspm/versions/0.2-2/topics/plsreg2

            Source https://stackoverflow.com/questions/53305947

            QUESTION

            How to set videoview resource using intent.putextra
            Asked 2018-Oct-18 at 04:33

            I'm having some mp4 videos in my raw folder now i want to pass those videos to my videoview using intent.put extra from activity A to activity B when user clicks on a item.

            Here is my adapter class:

            ...

            ANSWER

            Answered 2018-Oct-18 at 03:50

            You should not pass the whole video. Just pass video id (or video name, ...) and in activity B, just access raw folder again to get the target video

            In your adapter, pass the position:

            Source https://stackoverflow.com/questions/52866417

            QUESTION

            Using evaluate function for MaxEntReplicates
            Asked 2018-Mar-20 at 17:18

            I am using Maxent function in dismo package to create some species distribution models.

            Normally this works:

            ...

            ANSWER

            Answered 2018-Mar-20 at 17:18

            Funny, I found the solution right after I posted here. I could't find the answer online so, I'll post it here for anyone who has the same problem could solve it.

            Source https://stackoverflow.com/questions/49387589

            QUESTION

            In Pandas, how to calculate the probability of a set of values in one column given a set of values of another column?
            Asked 2017-Oct-29 at 17:45

            I have a DataFrame in which the rows represent traffic accidents. Two of the columns are Weather and Skidding:

            ...

            ANSWER

            Answered 2017-Oct-29 at 17:45

            You can use isin instead of ... in ... for ... comprehension; Also no need to filter the data frame if you just need the number at the end, just build the conditions, sum and divide:

            Source https://stackoverflow.com/questions/47003140

            QUESTION

            foreach and dopar not creating objects, but returning NULL
            Asked 2017-Sep-19 at 20:52

            I'm using Maxent for some spatial analysis. I have a long script with many outputs that I collect in lists. It works just fine with a for loop and low resolution climatic predictors in a rasterstack (in my core i5, 6gb notebook) . But I need to use a high resolution set of rasters, and all the problems come from this issue. Even using a 16 core, 32gb virtual machine, the proccessing is veeeery slow, and after 3 days, memory is not enought and the run is closed after about 50 turns in my loop (which has 92 species). I'm trying to improve this script by collecting garbage to clean the memory and using doParallel. After the new script is cleanly running with the low resolution predictors, I'll try it with the high resolution predictors

            So, I changed my script to use foreach instead of for, and with %dopar%

            But so far, I'm getting this as result:

            ...

            ANSWER

            Answered 2017-Sep-19 at 20:52

            You could call foreach specifying a "collector" variable such as in:

            results <- foreach(i=1:4, .packages=c("dismo","scales","rgdal","rgeos","rJava")) %dopar%

            Then, before the end of the foreach loop you can collect all your result variable in a common list and return them:

            Source https://stackoverflow.com/questions/46309160

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install jackknife

            You can download it from GitHub.
            You can use jackknife like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the jackknife component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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