neuraln

 by   totemstech C++ Version: Current License: No License

kandi X-RAY | neuraln Summary

kandi X-RAY | neuraln Summary

neuraln is a C++ library. neuraln has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

neuraln
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            kandi-support Support

              neuraln has a low active ecosystem.
              It has 273 star(s) with 25 fork(s). There are 10 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 1 have been closed. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of neuraln is current.

            kandi-Quality Quality

              neuraln has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              neuraln does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              neuraln releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.
              It has 85 lines of code, 0 functions and 4 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            neuraln Key Features

            No Key Features are available at this moment for neuraln.

            neuraln Examples and Code Snippets

            No Code Snippets are available at this moment for neuraln.

            Community Discussions

            QUESTION

            Keras problem: AttributeError: 'Tensor' object has no attribute '_keras_history' by fitting BiLSTM-CRF
            Asked 2021-Feb-05 at 04:30

            There are a lot of questions and answers about the same problem. Unfortunately, they didn't work for me.

            My model that aims to extract aspect terms from reviews has the following architecture:

            ...

            ANSWER

            Answered 2021-Feb-05 at 04:30

            I solved this issue by installing tensorflow version 2.2 and keras version 2.3.1. It's happening because keras now doesn't support keras_contrib in newer version.

            Source https://stackoverflow.com/questions/65855882

            QUESTION

            How can I load a library in R to call it from Excel with bert-toolkit?
            Asked 2020-Mar-15 at 04:14

            Bert-toolkit is a very nice package to call R functions from Excel. See: https://bert-toolkit.com/

            I have used bert-toolkit to call a fitted neuralnet (avNNnet fitted with Caret) within a wrapper function in R from Excel VBA. This runs perfect. This is the code to load the model within the wrapper function in bert-toolkit:

            ...

            ANSWER

            Answered 2020-Mar-15 at 04:14

            One of R's signatures is method dispatching where users call the same named method such as predict but internally a different variant is run such as predict.lm, predict.glm, or predict.gam depending on the model object passed into it. Therefore, calling predict on an avNNet model is not the same predict on a gam model. Similarly, just as the function changes due to the input, so does the output change.

            According to MSDN documents regarding the Excel #Value! error exposed as Error 2015:

            #VALUE is Excel's way of saying, "There's something wrong with the way your formula is typed. Or, there's something wrong with the cells you are referencing."

            Fundamentally, without seeing actual results, Excel may not be able to interpret or translate into Excel range or VBA type the result R returns from gam model especially as you describe R raises no error.

            For example, per docs, the return value of the standard predict.lm is:

            predict.lm produces a vector of predictions or a matrix of predictions...

            However, per docs, the return value of predict.gam is a bit more nuanced:

            If type=="lpmatrix" then a matrix is returned which will give a vector of linear predictor values (minus any offest) at the supplied covariate values, when applied to the model coefficient vector. Otherwise, if se.fit is TRUE then a 2 item list is returned with items (both arrays) fit and se.fit containing predictions and associated standard error estimates, otherwise an array of predictions is returned. The dimensions of the returned arrays depends on whether type is "terms" or not: if it is then the array is 2 dimensional with each term in the linear predictor separate, otherwise the array is 1 dimensional and contains the linear predictor/predicted values (or corresponding s.e.s). The linear predictor returned termwise will not include the offset or the intercept.

            Altogether, consider adjusting parameters of your predict call to render a numeric vector for easy Excel interpretation and not a matrix/array or some other higher dimension R type that Excel cannot render:

            Source https://stackoverflow.com/questions/60563451

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

            Vulnerabilities

            No vulnerabilities reported

            Install neuraln

            You can download it from GitHub.

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