Auto-PyTorch | Automatic architecture search and hyperparameter | Machine Learning library

by automl Python Version: v0.2.1 License: Apache-2.0

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

kandi X-RAY | Auto-PyTorch Summary

Auto-PyTorch is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. Auto-PyTorch has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install Auto-PyTorch' or download it from GitHub, PyPI.

Automatic architecture search and hyperparameter optimization for PyTorch

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Quality

Security

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Auto-PyTorch has a medium active ecosystem.

It has 2057 star(s) with 255 fork(s). There are 44 watchers for this library.

It had no major release in the last 12 months.

There are 42 open issues and 201 have been closed. On average issues are closed in 213 days. There are 20 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Auto-PyTorch is v0.2.1

Quality

Auto-PyTorch has 0 bugs and 0 code smells.

Security

Auto-PyTorch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Auto-PyTorch code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Auto-PyTorch 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.

Reuse

Auto-PyTorch releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Auto-PyTorch saves you 6431 person hours of effort in developing the same functionality from scratch.

It has 22384 lines of code, 1276 functions and 241 files.

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

Top functions reviewed by kandi - BETA

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

Performs the forward computation
Rescale outputs
Repeat intermediate values
Set the network to the given device
Get hyperparameter search space
Returns a hyperparameter object corresponding to the given hyperparameter_type
Adds a hyperparameter to the configuration space
Fit the pipeline
Clean up the logger
Returns a Dataset
Evaluate the model
Evaluate a train function
Returns a ConfigurationSpace instance for the given dataset properties
Estimate the model
Forward computation
Predict for each time series
Builds a decoder
Get a hyperparameter search space
Get a single dataset
Estimate the fitness estimator
Build a forecasting evaluator
Performs a search on the model
Refit the dataset
Get hyperparameter space
Performs an optimization search
Perform forward computation
Performs a search

Get all kandi verified functions for this library.

Auto-PyTorch Key Features

No Key Features are available at this moment for Auto-PyTorch.

Auto-PyTorch Examples and Code Snippets

mlr3keras,Usage

Lines of Code : 11

License : Weak Copyleft (LGPL-3.0)

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  library("mlr3")
  # Instantiate Learner
  lrn = LearnerClassifKerasFF$new()

  # Set Learner Hyperparams
  lrn$param_set$values$epochs = 50
  lrn$param_set$values$layer_units = 12

  # Train and Predict
  lrn$train(tsk("iris"))
  lrn$predict(tsk("i

Community Discussions

Trending Discussions on Auto-PyTorch

How can I install Auto-PyTorch on Windows 10 from requirements.txt?

QUESTION

How can I install Auto-PyTorch on Windows 10 from requirements.txt?

Asked 2020-Jul-09 at 02:49

I have been trying to install Auto-PyTorch, an automatic Neural Network tuning system (more info about installation here: https://github.com/automl/Auto-PyTorch), in a Windows 10 system. The installation steps are as follow:

...

ANSWER

Answered 2020-Jul-09 at 02:49

Since you're running on Windows PowerShell, only command-line utilities natively available on Windows can be assumed to be available - and xargs, a Unix utility, is not among them.
(While git also isn't natively available, it looks like you've already installed it).

Here's a translation of your code into native PowerShell code (note that cd is a built-in alias for Set-Location, and, on Windows only, cat is a built-in alias for Get-Content; % is a built-in alias for the ForEach-Object cmdlet):

Source https://stackoverflow.com/questions/62804230

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