quant | Rails drives | Application Framework library

 by   jdjkelly Ruby Version: Current License: MIT

kandi X-RAY | quant Summary

kandi X-RAY | quant Summary

quant is a Ruby library typically used in Server, Application Framework, Ruby On Rails applications. quant has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

An open source Rails API to track "quantified self" data. Right now, the hardware companies in this space are storing your data in closed systems. Let's change that. Take the Withings WiFi scale or the FitBit, for example. Both are essential pieces of the quantified self hacker, yet both store your data in their respective, siloed databases. What happens when one of them goes bust? Or decides to pivot towards an ad-based business model?. This project includes a Rails + Postgres RESTful API to store your data.
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            kandi-support Support

              quant has a low active ecosystem.
              It has 137 star(s) with 23 fork(s). There are 14 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 7 open issues and 2 have been closed. On average issues are closed in 3 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of quant is current.

            kandi-Quality Quality

              quant has 0 bugs and 0 code smells.

            kandi-Security Security

              quant has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              quant code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              quant is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              quant releases are not available. You will need to build from source code and install.
              quant saves you 2887 person hours of effort in developing the same functionality from scratch.
              It has 6238 lines of code, 195 functions and 214 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed quant and discovered the below as its top functions. This is intended to give you an instant insight into quant implemented functionality, and help decide if they suit your requirements.
            • Determine if the message should be delivered .
            • Defines attribute accessor for attributes
            • Provides access to data for the resource
            • Update the weights
            • Gets the weight of the weights .
            • Get the date of the datetime
            • The time for a time
            Get all kandi verified functions for this library.

            quant Key Features

            No Key Features are available at this moment for quant.

            quant Examples and Code Snippets

            Fake quant with minVars per channel .
            pythondot img1Lines of Code : 9dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _FakeQuantWithMinMaxVarsPerChannelGradient(op, grad):
              """Gradient for FakeQuantWithMinMaxVarsPerChannel op."""
              return fake_quant_with_min_max_vars_per_channel_gradient(
                  grad,
                  op.inputs[0],
                  op.inputs[1],
                  op.inputs[2],
               

            Community Discussions

            QUESTION

            SQL/DB2 getting single row of results per employee with a UNION
            Asked 2022-Mar-28 at 17:57

            I'm currently using a UNION on 2 select statements and while I'm getting the correct data, it's not exactly what I actually need when it comes time to use it in a front-end view

            I'm currently using this query:

            ...

            ANSWER

            Answered 2022-Mar-28 at 17:57

            Try adding an outer query:

            Source https://stackoverflow.com/questions/71651405

            QUESTION

            Creating loop over columns to calculate regression and then compare best combination of variables
            Asked 2022-Mar-24 at 19:14

            I am trying to run a loop which takes different columns of a dataset as the dependent variable and remaining variables as the independent variables and run the lm command. Here's my code

            ...

            ANSWER

            Answered 2022-Mar-24 at 17:53

            We could change the line of fit with

            Source https://stackoverflow.com/questions/71605227

            QUESTION

            Flagging NaN values based on a condition and year
            Asked 2022-Mar-18 at 17:23

            I am trying to get this requirement of flagging NaN values based on condition and particular year, below is my code:

            ...

            ANSWER

            Answered 2022-Mar-18 at 17:13

            You could build a boolean condition that checks if "Quant" is greater than "upper" and the month is "03" or "04", and mask "Quant" column:

            Source https://stackoverflow.com/questions/71530740

            QUESTION

            How to sort (rearrange) DataFrame by descending last row value, and rearrange columns respectively
            Asked 2022-Feb-18 at 09:47

            I am working my quant. I have a set of data which is date-indexed, and the output heatmap is not sorted in any way. What I want is to sort the values of the last day (today if the case) numbers descending, and rearrange the columns respectively.

            raw data:

            ...

            ANSWER

            Answered 2022-Feb-18 at 09:47

            You can use pandas.DataFrame.sort_values method and set axis=1 in the argument. and sort the dataframe according to the values of the last row.

            Source https://stackoverflow.com/questions/71170980

            QUESTION

            How can I create a parallel analysis scree in R?
            Asked 2022-Feb-12 at 13:17
            Dataset Dput ...

            ANSWER

            Answered 2022-Feb-12 at 13:17

            The only problem is that there are Heywood cases, so the fa analysis isn't trustworthy.

            Source https://stackoverflow.com/questions/71091241

            QUESTION

            ONNX Runtime Inference | session.run() multiprocessing
            Asked 2022-Jan-21 at 16:56

            Goal: run Inference in parallel on multiple CPU cores

            I'm experimenting with Inference using simple_onnxruntime_inference.ipynb.

            Individually:

            ...

            ANSWER

            Answered 2022-Jan-21 at 16:56
            def run_inference(i):
                output_name = session.get_outputs()[0].name
                return session.run([output_name], {input_name: inputs[i]})[0]  # [0] bc array in list
            
            outputs = pool.map(run_inference, [i for i in range(test_data_num)])
            

            Source https://stackoverflow.com/questions/70803924

            QUESTION

            Problem minimising a function using L-BFGS-B method in R?
            Asked 2022-Jan-08 at 02:02

            A similar question was asked here but it didn't receive any answers.

            I have a function that I need to minimize. My function has 3 parameters, x, y, and w. Given w, I need to find the optimal pair of x and y that minimizes my function. However, x and y are restricted in the interval (-0.5 ,0.5]

            I tried to use the optim function and it works when I don't have restrictions. However, when I apply the restrictions and use the L-BFGS-B method, I get an error. I cant figure out why I am getting this error.

            Below is an example of my function and some of the methods I have tried. This is the function that Im trying to minimize:

            ...

            ANSWER

            Answered 2022-Jan-08 at 02:02

            Here's a start. I added a line

            Source https://stackoverflow.com/questions/70628439

            QUESTION

            Descriptive Statistic in R with more than one X
            Asked 2021-Dec-29 at 23:18

            I'm currently working with the psych package. I have the variables StockPrice, BookValuePS (PS = per share), EPS (= Earnings per share) and ESGscore.

            I want to do some descriptive statistic for my final paper.

            The code I use at the moment is:

            ...

            ANSWER

            Answered 2021-Dec-29 at 23:18
            • First

            11 and 12 means: Not item, the item column is 1 and 2 meaning that your grouping variable ggroup has 2 items or two levels.

            11 and 12 are row names: if you wrap the whole thing around tibble() thy will disappear. In detail they mean first 1 = variable1, second 1 of 11 means level or item 1 of the grouping variable. You can get it if you follow the example at the end.

            • Second

            You can analyze the complete dataset grouped with this formula input: describeBy(data_excel ~ ggroup)

            To avoind the error:

            Source https://stackoverflow.com/questions/70525691

            QUESTION

            Error applying facet_wrap() in geom_sf() incomplete polygon in ggplot R
            Asked 2021-Nov-07 at 17:43

            I have a shapefile with 7 regions. I have an excel file with data about reptiles in these 7 regions. I merged this shapefile with excel.

            Using ggplot I tried to generate facet_wrap() from nome_popular, however the rest of the polygon parts were omitted in each facet created.

            My tentative code

            shapefile: https://drive.google.com/file/d/1I1m9lBX69zjsdGBg2zfpii5H4VFYE1_0/view?usp=sharing

            excel:https://docs.google.com/spreadsheets/d/1eKQWWCAalehTTrUuqUlMPQnSTEZxF--g/edit?usp=sharing&ouid=118442515534677263769&rtpof=true&sd=true

            ...

            ANSWER

            Answered 2021-Oct-31 at 05:58

            The issue is that with faceting the data is splitted in groups and only the polygons contained in the splitted data will show up.

            If you want all regions to be shown in each facet then one option would be to add a base map via second geom_sf layer. In your case + geom_sf(regiao) + geom_sf() should do the job.

            As an example I make use of the default example from ?geom_sf:

            Source https://stackoverflow.com/questions/69783859

            QUESTION

            How do I use lapply or sapply for boostraping or KM calculations on three different DFs when functions are nested?
            Asked 2021-Oct-31 at 06:12

            I want to run a bootstrap (k=10,000) and Kaplan-Meier calculations on the numeric column of three different data frames using lapply or sapply when functions are nested.

            I have defined three functions to use as arguments in the command for boostrapping. One function returns a set of predefined quantiles, another the median, and a thrid a 95% confidence interval for the median. Bootstrapping fails altogether. The error I get for bootstrapping reads, "Error in x[, "Result", drop = FALSE] : incorrect number of dimensions"

            KM only completes for the first data frame on the list (df).

            I am using the boot and NADA2 libraries for the calculations.

            Below is a REPREX of the data, functions, and commands:

            ...

            ANSWER

            Answered 2021-Oct-31 at 06:12

            First of all you should use list instead of c and give the data frames names like so:

            Source https://stackoverflow.com/questions/69776987

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

            Vulnerabilities

            No vulnerabilities reported

            Install quant

            You can download it from GitHub.
            On a UNIX-like operating system, using your system’s package manager is easiest. However, the packaged Ruby version may not be the newest one. There is also an installer for Windows. Managers help you to switch between multiple Ruby versions on your system. Installers can be used to install a specific or multiple Ruby versions. Please refer ruby-lang.org for more information.

            Support

            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 .
            Find more information at:

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            gh repo clone jdjkelly/quant

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