bayes | Naive-Bayes Classifier for node.js | Natural Language Processing library

 by   ttezel JavaScript Version: Current License: No License

kandi X-RAY | bayes Summary

kandi X-RAY | bayes Summary

bayes is a JavaScript library typically used in Artificial Intelligence, Natural Language Processing applications. bayes has no bugs, it has no vulnerabilities and it has low support. You can install using 'npm i bayes' or download it from GitHub, npm.

bayes takes a document (piece of text), and tells you what category that document belongs to.
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              bayes has a low active ecosystem.
              It has 526 star(s) with 102 fork(s). There are 20 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 8 open issues and 3 have been closed. On average issues are closed in 8 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of bayes is current.

            kandi-Quality Quality

              bayes has no bugs reported.

            kandi-Security Security

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

            kandi-License License

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

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              bayes releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.
              Installation instructions are not available. Examples and code snippets are available.

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            bayes Key Features

            No Key Features are available at this moment for bayes.

            bayes Examples and Code Snippets

            Generate the ConfusionMatrix
            pythondot img1Lines of Code : 32dot img1License : Permissive (MIT License)
            copy iconCopy
            def main():
            
                """
                Gaussian Naive Bayes Example using sklearn function.
                Iris type dataset is used to demonstrate algorithm.
                """
            
                # Load Iris dataset
                iris = load_iris()
            
                # Split dataset into train and test data
                X = iris["  

            Community Discussions

            QUESTION

            Why are all my classification accuracy scores the same?
            Asked 2021-Jun-08 at 00:47

            I'm running several machine learning models to find the one which the highest accuracy score, however, all the accuracy scores are the exact same. I performed NLP on social media text and I'm training my models to tag sentiment based on sentiment determined from NLTK.

            I'm using the same training and test sets, but I've done this method before in the past and received different scores on different models. Why are all of mine the same? Am I overfitting perhaps?

            Here is my code where I'm splitting and training:

            ...

            ANSWER

            Answered 2021-Jun-08 at 00:47

            I'm not sure what is the cause of the problem, but since the output of you SVM model and DecisionTreeClassfier always output 1, I suggest you try a more complex model like RandomForestClassifier and see what it comes out.

            I've similar experience before, no matter how I tuned the training hyperparameters, the model always give the same performance metric -- this may cause by 2 probabilities:

            1. Our data is not suitable for the model, for example all values in the vector is zero: [0, 0, 0, 0, 0, 0, 0]
            2. Our model is too simple, which could only perform linear modeling, so that it could not learn too complex mapping function.

            Since your SVM is built with linear kernel, could you try an more complex model and see what it comes out? And could you examine that if your X_train_vectors is all zero's in the matrix?

            Source https://stackoverflow.com/questions/67878862

            QUESTION

            How to use a select element to insert a Thymleaf fragment?
            Asked 2021-May-19 at 12:20

            I want to use an HTML select element to change which thymeleaf fragment is displayed.

            the html code:

            ...

            ANSWER

            Answered 2021-May-19 at 12:20

            Thymeleaf renders the HTML on the server side. Once the HTML is in the browser, Thymeleaf is no longer "active".

            What you can do is insert the

            for each of the options hidden on the page and use JavaScript to make the one that is selected visible.

            So your Thymeleaf template has:

            Source https://stackoverflow.com/questions/67602094

            QUESTION

            Get second last value in each row of dataframe, R
            Asked 2021-May-14 at 14:45

            I am trying to get the second last value in each row of a data frame, meaning the first job a person has had. (Job1_latest is the most recent job and people had a different number of jobs in the past and I want to get the first one). I managed to get the last value per row with the code below:

            first_job <- function(x) tail(x[!is.na(x)], 1)

            first_job <- apply(data, 1, first_job)

            ...

            ANSWER

            Answered 2021-May-11 at 13:56

            You can get the value which is next to last non-NA value.

            Source https://stackoverflow.com/questions/67486393

            QUESTION

            Python - Trying to using a "for" to create a set and then apply another for that will interate and generate a dict. But its is returning "error"
            Asked 2021-May-14 at 00:43

            I am trying to using a "for" to create a set and then apply another for that will interate and generate a dict. But its is returning "error"

            Some important details:

            test_tabela is a list

            ...

            ANSWER

            Answered 2021-May-14 at 00:43

            i is an element of tested_tabela, because of that, change

            Source https://stackoverflow.com/questions/67527721

            QUESTION

            ParBayesianOptimization suddenly fails while logging epoch results
            Asked 2021-May-10 at 20:28

            I am currently using the R package ParBayesianOptimization to tune parameters for ML methods. While searching for an optimal cost parameter for the svmLinear2 model (contained in caret), the optimization stopped with a sudden error after successfully completing 15 iterations.

            Here is the error traceback:

            ...

            ANSWER

            Answered 2021-May-10 at 20:28

            It appears that the scoring function returned NAs in place of accuracy measures leading to the error later downstream. This has been described by the library's creator at

            https://github.com/AnotherSamWilson/ParBayesianOptimization/issues/33.

            It looks like the SVM is trying a cost of 0 during the 9th iteration. Given the problem statement the SVM is solving the cost parameter should probably be positive.

            According to AnotherSamWilson, this error may commonly occur when the scoring function "returns something unexpected".

            Source https://stackoverflow.com/questions/67418224

            QUESTION

            Defining a data type as MonadSample
            Asked 2021-May-04 at 22:03

            I am trying to define a toy probabilistic programming language to test various inference algorithms and their effectiveness. I followed this tutorial to create a Scheme like language with a basic structure. Now I want to use the monad-bayes library to add the probabilistic backend. My end goal is to support sampling from and observing from distributions. This is the definition of my expressions

            ...

            ANSWER

            Answered 2021-May-04 at 22:03

            A data declaration needs to use concrete types, but MonadSample is a constraint. It describes behaviors instead of implementations. From hackage, one instance of MonadSample is SamplerIO which you can use in your data declaration. e.g.

            Source https://stackoverflow.com/questions/67375858

            QUESTION

            How to declare and assign a hash with count of occurrences in one statement
            Asked 2021-May-03 at 07:05

            I'm working on an NLP project for automatic text classification. Here is a snippet of a code to constitute a primitive bag of words from an XML file. But my question is as follows: in this sequence, is it possible to one-line these 3 lines because i don't really enjoy the empty declaration of %lemma_words

            ...

            ANSWER

            Answered 2021-May-03 at 07:05

            Can roll it in a subroutine ... or use the ones provided in libraries

            For simple and fast element-frequency counter there is List::MoreUtils::frequency

            Source https://stackoverflow.com/questions/67344783

            QUESTION

            Trying to Implement Naive Bayes algorithm on dataset
            Asked 2021-May-02 at 01:19

            I have a dataset upon which I would like to implement the Naïve Bayes algorithm but it is triggering an error on line 107; str_column_to_float(dataset, i) as follows; "could not convert string to float:''" I thought it was because of the headers for the various columns but even after I removed them and run the code, it is still giving me the same error. Any help will very much be appreciated. The link to the dataset is as follows; [Dataset][1] The code is below

            ...

            ANSWER

            Answered 2021-May-02 at 01:19

            The ValueError is being raised because float() is trying to cast a word to a string.

            Source https://stackoverflow.com/questions/67352126

            QUESTION

            Sklearn: Choose naive bayes model for continous feature, multiple labels
            Asked 2021-Apr-26 at 21:41

            Imagining I have a data set, whose feature values are continuous, and there are more than two possible labels (eg: rain, sunny, windy etc), which naive bayes model should I implement in sklearn?

            I am thinking about Gaussian or Multinomial. However, multinomial works for discrete features, and I tried gaussian, but it turns out that the accuracy of the prediction is like random selecting.

            Thanks for helping, Yige

            ...

            ANSWER

            Answered 2021-Apr-26 at 21:41

            Naive Bayes Classification (NBC) works with discrete values. That means you have to discretize all features which are continuous. For more details, this could help

            Anyways, multinominal is correct because you have more than one label. But you should also keep in mind that you have to one-hot encode your labels (OneHotEncoder in sklearn).

            Source https://stackoverflow.com/questions/67269495

            QUESTION

            how to encoding several column (but not all column) in dataframe python using pandas
            Asked 2021-Apr-26 at 09:13

            I want to build a naive bayes model using two dataframes (test dataframe, train dataframe)

            The dataframe contains 13 columns, but I just want to encode the dataframe from str to int value in just 5-6 columns. How can I do that with one code so that 6 columns can directly be encoded, I follow this answer:

            https://stackoverflow.com/a/37159615/12977554

            ...

            ANSWER

            Answered 2021-Apr-26 at 07:49

            You can loop through the columns and fit_transform

            Source https://stackoverflow.com/questions/67262143

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

            Vulnerabilities

            No vulnerabilities reported

            Install bayes

            You can install using 'npm i bayes' or download it from GitHub, npm.

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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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