ydata-synthetic | Synthetic data generators for tabular and time-series data | Machine Learning library

by ydataai Jupyter Notebook Version: 1.3.2 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | ydata-synthetic Summary

ydata-synthetic is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Generative adversarial networks applications. ydata-synthetic has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Synthetic data is artificially generated data that is not collected from real world events. It replicates the statistical components of real data without containing any identifiable information, ensuring individuals' privacy.

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ydata-synthetic has a medium active ecosystem.

It has 996 star(s) with 205 fork(s). There are 23 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 22 open issues and 54 have been closed. On average issues are closed in 68 days. There are 11 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ydata-synthetic is 1.3.2

Quality

ydata-synthetic has 0 bugs and 0 code smells.

Security

ydata-synthetic has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ydata-synthetic code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ydata-synthetic 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

ydata-synthetic releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 1769 lines of code, 165 functions and 43 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed ydata-synthetic and discovered the below as its top functions. This is intended to give you an instant insight into ydata-synthetic implemented functionality, and help decide if they suit your requirements.

Train the model
Get batch data
Computes the discriminator loss
Define the network
Fit the GAN model
Run checkpoint
Validate the label column
Prepare the data processor
Download and cache a resource file
Get the project root
Return the path to the data directory
Fit the model
Define the generator
Get a batch of data from train
Load data from a CSV file
This function is used to process the real data
Build the network
Create a network
Train the discriminator
Download a file
Generate synthetic samples
Build the discriminator layer
Return a colormap
Build the embedderor

Get all kandi verified functions for this library.

ydata-synthetic Key Features

No Key Features are available at this moment for ydata-synthetic.

ydata-synthetic Examples and Code Snippets

No Code Snippets are available at this moment for ydata-synthetic.

Community Discussions

Trending Discussions on ydata-synthetic

Combine Models (outputs) in Keras

QUESTION

Combine Models (outputs) in Keras

Asked 2021-Nov-09 at 15:16

I'm trying to build the networks presented in the following paper: link

Basically, the autoencoder is a composition of two other models, embedder and recovery described below:

...

ANSWER

Answered 2021-Nov-09 at 15:15

The problem is that embedder and recovery are not models with trainable_variables. Those two functions simply return the output of the last layer. Maybe try something like this:

Source https://stackoverflow.com/questions/69900375

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

Vulnerabilities

No vulnerabilities reported

Install ydata-synthetic

The source code is currently hosted on GitHub at: https://github.com/ydataai/ydata-synthetic. Binary installers for the latest released version are available at the Python Package Index (PyPI).