MiNLP | XiaoMi Natural Language Processing Toolkits | Natural Language Processing library

 by   XiaoMi Scala Version: v3.3.1 License: Apache-2.0

kandi X-RAY | MiNLP Summary

kandi X-RAY | MiNLP Summary

MiNLP is a Scala library typically used in Artificial Intelligence, Natural Language Processing, Tensorflow applications. MiNLP has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

XiaoMi Natural Language Processing Toolkits

            kandi-support Support

              MiNLP has a low active ecosystem.
              It has 740 star(s) with 85 fork(s). There are 28 watchers for this library.
              It had no major release in the last 12 months.
              There are 7 open issues and 42 have been closed. On average issues are closed in 26 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of MiNLP is v3.3.1

            kandi-Quality Quality

              MiNLP has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              MiNLP 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

              MiNLP releases are available to install and integrate.
              MiNLP saves you 126 person hours of effort in developing the same functionality from scratch.
              It has 328 lines of code, 36 functions and 11 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed MiNLP and discovered the below as its top functions. This is intended to give you an instant insight into MiNLP implemented functionality, and help decide if they suit your requirements.
            • Cut the given text batch .
            • Calls cut function .
            • Compute the factor matrix of texts
            • Format a unicode string .
            • Add a list of words from a file .
            • Split text into words .
            • Generates tokens from a list of tokens .
            • Given a list of text_list returns a list of character ids .
            • Return the integer representation .
            Get all kandi verified functions for this library.

            MiNLP Key Features

            No Key Features are available at this moment for MiNLP.

            MiNLP Examples and Code Snippets

            No Code Snippets are available at this moment for MiNLP.

            Community Discussions


            numpy sum axis 1 in pure python
            Asked 2022-Apr-10 at 11:51

            This may seem like a strange question, but how do you rewrite in pure python next line:



            Answered 2022-Apr-10 at 11:51

            In the two steps your example shows, data being the input list:

            Source https://stackoverflow.com/questions/71816100


            Accessing entries of multidimensional variables using the gams-c++ api
            Asked 2022-Mar-17 at 15:45

            I am generating the following gams program with my c++ program



            Answered 2022-Mar-17 at 15:45

            I guess you want to iterate over all records of x? There is actually an example in the tutorial for a two dimension variable doing this:

            Source https://stackoverflow.com/questions/71515071


            Why a NonNegativeIntegers variable gets a float value in Baron solver
            Asked 2022-Jan-09 at 12:18

            I am using pyomo and Baron to solve a MINLP. I declared a NonNegativeIntegers variable but when Baron solves the problem, the variable is: 2e-06 !!

            How is it possible?!



            Answered 2022-Jan-09 at 12:18

            Because of tolerances any integer variable can be slightly non-integer. This is normal and also happens with linear solvers.

            Source https://stackoverflow.com/questions/70641139


            How to limit the count of nonzero variables in GAMS mixed-integer nonlinear programming?
            Asked 2021-Sep-30 at 02:25
            The background of the problem:

            There are 25 candidates on Neo blockchain that receive votes. Every voter except me has voted. The candidates ranked 1st to 7th each will give 200 dollars, proportionally to people who vote for them. And the 8th to 21st will each distribute 100 dollars. For example, I cast 100 votes to the currently 8th candidate, pushing him/her to 7th position, and other people voted 900 votes for him, so I get 200*100/(900+100)=20 dollars from the candidate.

            I know the voting result yielded by all the other voters, and I can additionally cast N votes to n candidates at maximum, because I have only n agents as my delegates. That is, my voting vector should have no more than n nonzero values, and the sum of my voting vector should equal to N. How should I vote for highest profit?

            ("Dollar" is written as "GAS" in the following codes. And the number of votes I can cast is written as "NEO" in the codes)

            My GAMS codes:

            These codes makes an error: Endogenous $ operation not allowed
            (I have not figured out how to deal with the change of position because of my vote. This may be very difficult. ) (LINDO solver gives the best results for now)



            Answered 2021-Sep-29 at 16:35

            I would write this as:

            Source https://stackoverflow.com/questions/69370989


            Gekko: MINLP - Error options.json file not found
            Asked 2021-May-08 at 13:24

            I am trying to solve a MINLP problem using first the IPOPT solver to get an initial solution then the APOPT to get the mixed integer solution. However, I get the following error when calling the APOPT solver:

            Error: Exception: Access Violation At line 359 of file ./f90/cqp.f90 Traceback: not available, compile with -ftrace=frame or -ftrace=full Error: 'results.json' not found. Check above for additional error details Traceback (most recent call last): File "optimisation_stack.py", line 244, in Optimise_G(t,ob, jofbuses, q, qc, s, oa, k, l, T, G_previous, C, Y, G_previous, G_max, G_min) File "optimisation_stack.py", line 134, in Optimise_G sol = MINLP(xinit, A, B, A_eq, B_eq, LB ,UB, t, ob, jofbuses, q, qc, s, oa, k, l, T, G_previous, C, Y, G_previous) File "optimisation_stack.py", line 215, in MINLP m_APOPT.solve(disp = False) File "C:\Users\Zineb\AppData\Local\Programs\Python\Python37\lib\site-packages\gekko\gekko.py", line 2227, in solve self.load_JSON() File "C:\Users\Zineb\AppData\Local\Programs\Python\Python37\lib\site-packages\gekko\gk_post_solve.py", line 13, in load_JSON f = open(os.path.join(self._path,'options.json')) FileNotFoundError: [Errno 2] No such file or directory: 'C:\Users\Zineb\AppData\Local\Temp\tmptdgafg1zgk_model1\options.json'

            My code is the following, I tried to simplify it as much as possible :



            Answered 2021-May-08 at 13:24

            The Windows version of the APOPT solver crashed and wasn't able to find a solution. However, the online Linux version of APOPT is able to find a solution. Get the latest version of Gekko (v1.0.0 pre-release) available on GitHub. This will be available with pip install gekko --upgrade when the new version is published but for now you need to copy the source to Lib\site-packages\gekko\gekko.py. After updating gekko, switch to remote=True as shown below.

            Source https://stackoverflow.com/questions/67431986


            Gekko : MINLP options not accepted by gekko
            Asked 2021-May-03 at 13:00

            I am trying to solve a MINLP problem using gekko. My code is the following:



            Answered 2021-May-03 at 13:00

            The option minlp_maximum_iterations is not one of the available options for the IPOPT solver. You correctly discovered that switching to m.options.SOLVER=1 (APOPT solver) resolves this error.

            The solver is not finding a solution. I recommend an initialization strategy to first solve with IPOPT without the options. Next, solve again with the APOPT options to see if the IPOPT non-integer solution helps as a starting point to find the optimal integer solution.

            Source https://stackoverflow.com/questions/67300840


            Is GEKKO appropriate for Quasiconvex/Quasilinear Function?
            Asked 2021-Apr-27 at 03:31

            I have a function with an indefinite hessian and I would like to make sure GEKKO can support quasiconvex optimization. Note that I am formulating an MINLP model and those functions are present in the objective while the constraints are linear for the parameters.

            Are there any special conditions to achieve a global optimum when dealing with quasiconvex function optimization using GEKKO? Additionally, are there any performance differences with a quasiconvex function as opposed to a convex problem?

            Thank you for your time.



            Answered 2021-Apr-27 at 03:31

            There are at two approaches to deal with quasiconvex problems in the solvers that GEKKO uses. The solvers employ regularization by adding a diagonal term to the diagonal of the Hessian until it is positive definite. For solvers that use only the first derivative (Jacobian), a BFGS update approximates the second derivatives (Hessian). This guarantees that the Hessian approximation is positive definite. A third option that solvers employ is a trust region method to avoid divergent solutions.

            For nonconvex problems, a multi-start method is often needed to find the global optimum. Otherwise, another solver such as BARON or others that are specifically designed for nonconvex problems should be used.

            Source https://stackoverflow.com/questions/67275501


            GEKKO - MINLP in Matrix Form - Errors using m.axb()
            Asked 2021-Apr-21 at 16:04

            I am trying to solve a MINLP problem using GEKKO. My code is the following:



            Answered 2021-Apr-21 at 16:04

            Here is a solution that works with the newer version of Gekko that is not yet released but is available on GitHub. You'll need to put the newest version of gekko.py (v1.0) in the Lib/site_packages/gekko folder and the local executable (apm.exe for Windows, apm_mac for MacOS, apm for Linux) in the Lib/site_packages/gekko/bin folder to use remote=False.

            Source https://stackoverflow.com/questions/67183081


            GAMS translated nonlinear objective function looks different than defined objective
            Asked 2021-Apr-21 at 09:36

            I am studying the batchdes.lst file for MINLP model batchdes in GAMS library. The objective function is

            Defining objective function obj.. cost =g= sum(j, alpha(j)*(exp(n(j) + beta(j)*v(j)))); However, in the list of equations in the .lst file is presented as ---- obj =G= objective function definition

            obj.. - (25141.1498186984)*v(mixer) - (64131.2769053431)*v(reactor) - (49066.7923833869)*v(centrifuge) - (41901.9163644973)*n(mixer) - (106885.461508905)*n(reactor) - (81777.9873056449)*n(centrifuge) + cost =G= 0 ; (LHS = -230565.365179047, INFES = 230565.365179047 ****)

            What kind of operation has been applied here? How the exp() translated? Is this a feature of GAMS or the Solver selected?

            I implemented the same model to Pyomo and solve with the same solver from GAMS, however the Obj does not look the same in the .lst file.




            Answered 2021-Apr-21 at 09:36

            What you see here are the partial derivatives of each variable evaluated at their current level values. This comes from the GAMS documentation:

            Nonlinear equations are treated differently. If the coefficient of a variable in the equation listing is enclosed in parentheses, then the corresponding constraint is nonlinear, and the value of the coefficient depends on the activity levels of one or more of the variables. The listing is not algebraic, but shows the partial derivative of each variable evaluated at their current level values.

            Source https://stackoverflow.com/questions/67190755


            APOPT solver finds different solution every time
            Asked 2021-Mar-09 at 15:18

            I'm using gekko to solve a MINLP problem. I'm using the APOPT solver since is the only one that can provide integer solution, which are strictly needed in my case.

            The issue I have is that every time I run the solver I have a different solution, even for very small cases, so I can't be sure about the optimality of the solutions. From some solutions to others there are important differences in the objective final value.

            I've noticed that only 1 iteration takes place, and I don't know if it should be like this. Also, it runs for less than 1 second when it could run longer and find better solutions.

            Below the output of one of this runs:



            Answered 2021-Mar-09 at 15:18

            I've implemented a parallel solution in which I run the same model n times but with a different initial solution each. Once all models have been solved, I take the solution with lowest objective value.

            Source https://stackoverflow.com/questions/66497472

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


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