flow-js | Javascript Library for Multi-step Asynchronous Logic | Reactive Programming library

by willconant JavaScript Version: Current License: MIT

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kandi X-RAY | flow-js Summary

flow-js is a JavaScript library typically used in Programming Style, Reactive Programming, React, Nodejs applications. flow-js has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i flow-maintained' or download it from GitHub, npm.

Javascript Library for Multi-step Asynchronous Logic

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flow-js has a low active ecosystem.

It has 303 star(s) with 15 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 6 have been closed. On average issues are closed in 399 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of flow-js is current.

Quality

flow-js has 0 bugs and 0 code smells.

Security

flow-js has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

flow-js code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

flow-js is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

flow-js 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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flow-js Key Features

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flow-js Examples and Code Snippets

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Community Discussions

Trending Discussions on flow-js

Nonlinear Exponential Regression with Tensorflow.js

Having trouble with variables (this.x) in react native

Error: cannot read as File when loading model

Unexpected token * with tensorflow import

How to import trained model without initializing weights

Classify in tensorflowjs

Tensorflow-js: what is the equivalent of `tf.placeholder`?

Are the weights of a pre-trained Tensorflow model that has been ported to TensorFlow.js accessible at runtime through the model object?

How to save create and save submodel from keras mobilenet?

How to load a tensorflow.js model in a react web app?

QUESTION

Nonlinear Exponential Regression with Tensorflow.js

Asked 2020-Nov-16 at 12:49

I am trying to fit exponential data to an exponential regression with tensorflow.js, such as:

y(x) = c0e^(kx)

I have followed examples where they have fitted a linear regression with just a few epochs, like here.

The problem is that when I change the tensor equation to an exponential function, even if I increase to 500-5000 epochs and providing close initial values, it does not fit properly. With a large learning rate, the variables go to very high values, and low learning rate the variables don't substantially change.

Is there anything I am doing wrong in the code? Is it because optimization is not fit for exponential functions? Is there any other way to do implement this in a browser without using tf.js?

The code I have used is:

...

ANSWER

Answered 2020-Nov-16 at 12:49

It has to do with the optimizer used and the set of initial value that might not be converging. It they are not set correctly the model can diverge.

Source https://stackoverflow.com/questions/64849393

QUESTION

Having trouble with variables (this.x) in react native

Asked 2020-May-26 at 07:23

I'm following this tutorial to try to get tensorflow js working in react native.

The tutorial's code is as follows (working, tested by cloning the repo):

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ANSWER

Answered 2020-May-26 at 07:23

Typescript is complaining that model is not a property of the component

An interface can be defined for the props and the state for typescript to infer them along the way. If not they can be simply set to any which defeats the purpose of using typescript

Source https://stackoverflow.com/questions/62014347

QUESTION

Error: cannot read as File when loading model

Asked 2020-Apr-25 at 20:32

I think I am making a novice mistake but am having trouble figuring out what is going wrong.

Error:

C:\Users\Awesome\Google Drive\Source\Programming\JS\Testing>node classify rlc.jpg (node:38620) UnhandledPromiseRejectionWarning: Error: cannot read as File: "model.json" at readFile (C:\Users\Awesome\Google Drive\Source\Programming\JS\Testing\node_modules\filereader\FileReader.js:266:15) at FileReader.self.readAsText (C:\Users\Awesome\Google Drive\Source\Programming\JS\Testing\node_modules\filereader\FileReader.js:295:7) at C:\Users\Awesome\Google Drive\Source\Programming\JS\Testing\node_modules\@tensorflow\tfjs-core\dist\io\browser_files.js:226:36 at new Promise () at BrowserFiles. (C:\Users\Awesome\Google Drive\Source\Programming\JS\Testing\node_modules\@tensorflow\tfjs-core\dist\io\browser_files.js:159:39) at step (C:\Users\Awesome\Google Drive\Source\Programming\JS\Testing\node_modules\@tensorflow\tfjs-core\dist\io\browser_files.js:48:23) at Object.next (C:\Users\Awesome\Google Drive\Source\Programming\JS\Testing\node_modules\@tensorflow\tfjs-core\dist\io\browser_files.js:29:53) at C:\Users\Awesome\Google Drive\Source\Programming\JS\Testing\node_modules\@tensorflow\tfjs-core\dist\io\browser_files.js:23:71 at new Promise () at __awaiter (C:\Users\Awesome\Google Drive\Source\Programming\JS\Testing\node_modules\@tensorflow\tfjs-core\dist\io\browser_files.js:19:12) (node:38620) UnhandledPromiseRejectionWarning: Unhandled promise rejection. This error originated either by throwing inside of an async function without a catch block, or by rejecting a promise which was not handled with .catch(). To terminate the node process on unhandled promise rejection, use the CLI flag--unhandled-rejections=strict(see https://nodejs.org/api/cli.html#cli_unhandled_rejections_mode). (rejection id: 2) (node:38620) [DEP0018] DeprecationWarning: Unhandled promise rejections are deprecated. In the future, promise rejections that are not handled will terminate the Node.js process with a non-zero exit code.

Code:

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ANSWER

Answered 2020-Apr-25 at 20:32

Library expects File in loadFromFiles function, documentation in github. File is browser API that you cannot use in node by default. So you need to somehow polyfill that in node environment, check out these libraries node-fetch/fetch-blob node-file-api/file-api

Example usage with file-api:

Source https://stackoverflow.com/questions/61431740

QUESTION

Unexpected token * with tensorflow import

Asked 2019-Jul-02 at 15:56

I am currently having a problem with importing tensorflow into my project.

I'm trying to make this code work: https://gist.github.com/learncodeacademy/a96d80a29538c7625652493c2407b6be

However, when I run it with this command:

...

ANSWER

Answered 2019-Jul-02 at 15:55

The code snippet uses ECMAScript module imports (import instead of require()) which Node.js does not yet allow by default. Here are two things you can try:

Start Node.js with a flag

Source https://stackoverflow.com/questions/56855914

QUESTION

How to import trained model without initializing weights

Asked 2019-Jun-19 at 16:34

I converted a EfficientNet model that was pretrained on ImageNet to tensorflow-js using the tensorflowjs-converter. When I try to load the model into my script, it tries to initialize the weights with initializers, that are not implemented in tfjs. However, it is not necessary to initialize the weights, as the model was pretrained and the weights were also converted. The converted model is here: https://github.com/paulsp94/tfjs_efficientnet3_imagenet

Here is a CodePen example of the problem: https://codepen.io/paulsp94/pen/XLNdJq

...

ANSWER

Answered 2019-Jun-19 at 15:40

According to the documentation:

TensorFlow.js Layers currently only supports Keras models using standard Keras constructs. Models using unsupported ops or layers—e.g. custom layers, Lambda layers, custom losses, or custom metrics—cannot be automatically imported, because they depend on Python code that cannot be reliably translated into JavaScript.

It is not currently possible to import model with custom layers

Source https://stackoverflow.com/questions/56668248

QUESTION

Classify in tensorflowjs

Asked 2019-Apr-25 at 16:46

Following this tutorial I want to load and use a model in tensorflowjs, and then use the classify method to classify an input.

I load and execute the model like this:

...

ANSWER

Answered 2019-Apr-25 at 16:46

The tutorial uses a specific model (toxicity). Its load and classify functions are not a feature of Tensorflow.js model itself but rather implemented by this specific model.

Check out the API to see the supported functions for models in general. If you load a GraphModel, you want to use the model.predict (or execute) function to execute the model.

Therefore, your code should look like this:

Source https://stackoverflow.com/questions/55802366

QUESTION

Tensorflow-js: what is the equivalent of `tf.placeholder`?

Asked 2019-Apr-23 at 15:39

I am new to tensorflow-js but have used tensorflow python quite a bit in the past. I am trying to do some modelling inside a web app at the moment.

I need a tensorflow to be built at runtime (because of depending on user interactions). The problem is mathematically basic, it is a 1d to 1d curve fitting (y is a function of x with some free parameters to be fitted).

My code looks like:

...

ANSWER

Answered 2019-Apr-23 at 15:39

tf.placeholder is using when constructing a graph. There is no equivalent of tf.placeholder in tfjs because it currently supports only the eager execution. As a matter of fact, starting from tensorflow 2.0, there is no longer tf.placeholder.

Here is a tutorial on how to use tf.model to create non acyclic graph. It is unclear what you want to do with x and y. If your goal is to set the weight of your layer, you can use the method setWeights. On the other hand if x and y are the input and output layer, they have to be constructed using tf.input instead of tf.variable

If the goal is rather to use x and y respectively as features and label, it can be done using the predict function during training

Source https://stackoverflow.com/questions/55813117

QUESTION

Are the weights of a pre-trained Tensorflow model that has been ported to TensorFlow.js accessible at runtime through the model object?

Asked 2019-Mar-21 at 15:00

How do I access the weights of a model during debug?

When I inspect model.model.weights['dense_3/bias'][0] during execution in the debugger the actual weights aren't present. However when I console.log the expression the weights are printed. It seems like there is some sort of deferred execution going on?

I have created a snippet below that is based on the toxic classifier medium article that shows how to access the weights object for a specific layer.

...

ANSWER

Answered 2019-Mar-21 at 15:00

Each layer in an array of tensors. The weights of the layer can be accessed by iterating over the array.

Source https://stackoverflow.com/questions/55245035

QUESTION

How to save create and save submodel from keras mobilenet?

Asked 2019-Jan-28 at 12:36

I have create mobilenet v2 model in keras together with lambda function which gives me output from the penultimate layer. How can I save this specific submodel ( I want to convert it with tfjs-converter and use it in tensorflow-js ) ?

...

ANSWER

Answered 2019-Jan-28 at 12:36

You can create a Keras model instead of a Keras function and save it with the model.save(filepath) method:

Source https://stackoverflow.com/questions/54401949

QUESTION

How to load a tensorflow.js model in a react web app?

Asked 2019-Jan-11 at 15:45

I am working on a React web app (in Typescript) in which I want to load a tensorflow.js model and then apply it each time after the component updates. I have been able to load and apply my model in a small demo app without React, but now encounter some problems with the async load function:

My idea was to load the model in the constructor of the component, but an async function cannot be used in a constructor. So I tried to make a sort of wrapper function:

...

ANSWER

Answered 2019-Jan-11 at 15:45

I figured out how silly my wrapper idea was and now load the model not in the constructor but in ComponentDidMount and that did the trick!

Source https://stackoverflow.com/questions/54148607

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

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Install flow-js

You can install using 'npm i flow-maintained' or download it from GitHub, npm.

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