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

## kandi X-RAY | MiNLP Summary

## kandi X-RAY | MiNLP Summary

XiaoMi Natural Language Processing Toolkits

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### Top functions reviewed by kandi - BETA

- 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 .

## MiNLP Key Features

## MiNLP Examples and Code Snippets

## Community Discussions

Trending Discussions on MiNLP

QUESTION

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

...ANSWER

Answered 2022-Apr-10 at 11:51In the two steps your example shows, `data`

being the input list:

QUESTION

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

...ANSWER

Answered 2022-Mar-17 at 15:45I 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:

QUESTION

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?!

...ANSWER

Answered 2022-Jan-09 at 12:18Because of tolerances any integer variable can be slightly non-integer. This is normal and also happens with linear solvers.

QUESTION

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)

ANSWER

Answered 2021-Sep-29 at 16:35I would write this as:

QUESTION

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 :

...ANSWER

Answered 2021-May-08 at 13:24The 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.

QUESTION

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

...ANSWER

Answered 2021-May-03 at 13:00The 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.

QUESTION

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.

...ANSWER

Answered 2021-Apr-27 at 03:31There 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.

QUESTION

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

...ANSWER

Answered 2021-Apr-21 at 16:04Here 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`

.

QUESTION

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.

Thanks!

...ANSWER

Answered 2021-Apr-21 at 09:36What 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.

QUESTION

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:

...ANSWER

Answered 2021-Mar-09 at 15:18I'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.

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