datamaker | Data generator command-line tool | CSV Processing library

 by   glynnbird JavaScript Version: 0.11.1 License: Apache-2.0

kandi X-RAY | datamaker Summary

kandi X-RAY | datamaker Summary

datamaker is a JavaScript library typically used in Manufacturing, Utilities, Energy, Utilities, Utilities, CSV Processing applications. datamaker has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i datamaker' or download it from GitHub, npm.

A command-line Node.js script and library that generates JSON or CSV data in bulk. If you are building an IT system, then the chances are you'll need to populate a database (whether SQL or NoSQL) with some reasonably realistic data to test and benchmark with.
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              datamaker has a low active ecosystem.
              It has 27 star(s) with 7 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 1 have been closed. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of datamaker is 0.11.1

            kandi-Quality Quality

              datamaker has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              datamaker 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

              datamaker releases are available to install and integrate.
              Deployable package is available in npm.
              Installation instructions, examples and code snippets are available.

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            datamaker Key Features

            No Key Features are available at this moment for datamaker.

            datamaker Examples and Code Snippets

            No Code Snippets are available at this moment for datamaker.

            Community Discussions

            QUESTION

            Why does my neural network have extremely low weights after a few epochs?
            Asked 2020-Aug-15 at 20:19

            I just started to learn about neural network and this is my first one. The problem is that the more data I have, the lower the weight become after 2-3 epochs which is unusual and this cause my NN to learn nothing.

            To repodruce In DataSet class, search for function CreateData and change nbofexample to something like 20, you'll see if you print the weights that they are in a normal range (evenly spaced between -1 and 1) but then if you set the nbofexample to something like 200, then after only 2 or 3 epochs, most of the weigths of the last layer will be extremely close from 0 and they will stay in that zone for the rest of the training. Obviously, this cause the NN to fail.

            By the way, my NN is basically analyzing arrays of number between 0 and 9 divided by 10 as a normalization to check if the array is sorted. In the code below I put a lot of comments the code can be easily understand.

            There's is probably an easy fix but I just don't get it :(

            Here is the complete code if you want try it: (it's in python btw)

            ...

            ANSWER

            Answered 2020-Aug-15 at 20:19

            Neural Networks can suffer from something known as the Vanishing Gradient Problem, caused by the more classical activations like Sigmoid or Tanh.

            In laymen terms, basically activations like Sigmoid and Tanh really squeeze the inputs, right? For example, sigmoid(10) and sigmoid(100) are .9999 and 1 respectively. Even though the inputs have changed so much, the outputs have barely changed - the function is effectively constant at this point. And where a function is almost constant, its derivative tends to zero (or a very small value). These very small derivatives/gradients multiply with each other and become effectively zero, preventing your model from learning anything at all - your weights get stuck and stop updating.

            I suggest you do some further reading on this topic at your own time. Among several solutions, one way to solve this is to use a different activation, like ReLU.

            Source https://stackoverflow.com/questions/63430313

            QUESTION

            unique values inside the object seperating
            Asked 2020-Jul-06 at 17:49

            I have the below object which has three properties

            ...

            ANSWER

            Answered 2020-Jul-06 at 17:23

            QUESTION

            Chart.js : How I change the x axes ticks labels alignment in any sizes?
            Asked 2020-May-17 at 16:39

            How can I move my labels on my x axes in between another x axes label. Nothing seems to work and I was unable to find anything on the docs. Is there a workaround? I'm using line chart time series. https://www.chartjs.org/samples/latest/scales/time/financial.html

            Currently, with the code I have its generating the figure below:

            ...

            ANSWER

            Answered 2020-May-17 at 07:43

            The option you're looking for is offsetGridLines.

            If true, grid lines will be shifted to be between labels.

            Source https://stackoverflow.com/questions/61847921

            QUESTION

            Flutter - Filter element with same name in array
            Asked 2019-May-17 at 20:56

            I have a arrays with multiple elements, some of this elements has same name and repeat through array. I need to get all elements of this array, getting only one elements of repeated elements and all non repeated elements.

            I read this document about arrays in dart but doesn´t much helpier. I don't have example code, i don´t know how exactly that i start.

            Do, anybody know how can i do this?

            EDIT: ARRAY EXAMPLE

            Many mistakes in JSON, forget it, is a simple example.

            ...

            ANSWER

            Answered 2019-May-17 at 11:20

            QUESTION

            Android:Call Observer in a for loop and returning values
            Asked 2017-May-04 at 13:39

            I am very new to asynchronous programming.I am reading all the data of database in Json array and then iterating it in the observer from where I call another observer to post data to server.But the problem is I only receives first value of json array and then it terminates. Is there any thing present in Rx java to handle this thing?.I want to send value to server one by one from json array. Should I use flatmapiterable to return data to serverpost observer? or should I use some another technique?

            Here is my code:

            ...

            ANSWER

            Answered 2017-May-04 at 13:39

            Apologies as this is in Java 8:

            Source https://stackoverflow.com/questions/43781323

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

            Vulnerabilities

            No vulnerabilities reported

            Install datamaker

            To install the command-line utility, use npm:.

            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 .
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            Install
          • npm

            npm i datamaker

          • CLONE
          • HTTPS

            https://github.com/glynnbird/datamaker.git

          • CLI

            gh repo clone glynnbird/datamaker

          • sshUrl

            git@github.com:glynnbird/datamaker.git

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