optkeras | wrapper around Keras and Optuna for hyperparameter | Machine Learning library

 by   Minyus Python Version: 0.0.7 License: Non-SPDX

kandi X-RAY | optkeras Summary

kandi X-RAY | optkeras Summary

optkeras is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras applications. optkeras has no bugs, it has no vulnerabilities, it has build file available and it has low support. However optkeras has a Non-SPDX License. You can install using 'pip install optkeras' or download it from GitHub, PyPI.

OptKeras: wrapper around Keras and Optuna for hyperparameter optimization
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            kandi-support Support

              optkeras has a low active ecosystem.
              It has 22 star(s) with 3 fork(s). There are 1 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. On average issues are closed in 214 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of optkeras is 0.0.7

            kandi-Quality Quality

              optkeras has 0 bugs and 0 code smells.

            kandi-Security Security

              optkeras has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              optkeras code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              optkeras has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              optkeras 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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed optkeras and discovered the below as its top functions. This is intended to give you an instant insight into optkeras implemented functionality, and help decide if they suit your requirements.
            • Perform a random grid search
            • Print the results of the study
            • Sync the experiment with Optuna
            • Run the optimizer
            • Generate the Optuna log file
            • Remove all model files that are not in the best fit
            • Return the default trial value
            • Returns the path to the model
            • Convert a list of strings into a list
            • Perform post - processing
            • Called when an epoch is finished
            • Save trial_best_logs as a dict
            • Get the current datetime
            • Calls the optimizer
            • Initialize start epoch
            Get all kandi verified functions for this library.

            optkeras Key Features

            No Key Features are available at this moment for optkeras.

            optkeras Examples and Code Snippets

            How to use OptKeras?
            Pythondot img1Lines of Code : 59dot img1License : Non-SPDX (NOASSERTION)
            copy iconCopy
            """ Step 0. Import Keras, Optuna, and OptKeras """
            
            from keras.models import Sequential
            from keras.layers import Flatten, Dense, Conv2D
            from keras.optimizers import Adam
            import keras.backend as K
            
            import optuna
            
            from optkeras.optkeras import OptKeras  
            How to install OptKeras?
            Pythondot img2Lines of Code : 3dot img2License : Non-SPDX (NOASSERTION)
            copy iconCopy
            	pip install optkeras
            
            	pip install git+https://github.com/Minyus/optkeras.git
            
            	python setup.py install
              

            Community Discussions

            QUESTION

            OptKeras (Keras Optuna Wrapper) - use optkeras inside my own class, AttributeError: type object 'FrozenTrial' has no attribute '_field_types'
            Asked 2020-Jul-06 at 23:29

            I wrote a simple Keras code, in which I use CNN for fashion mnist dataset. Everything works great. I implemented my own class and classification is OK.

            However, I wanted to use Optuna, as OptKeras (Optuna wrapper for Keras), you can see an example here: https://medium.com/@Minyus86/optkeras-112bcc34ec73.

            However, something is wrong with my code. When I try to use optKeras inside my own class. Here's the code: (ordinary run method works, but optuna_run gives an error: AttributeError: type object 'FrozenTrial' has no attribute '_field_types'.

            ...

            ANSWER

            Answered 2020-Jul-06 at 23:29

            It seems that optkeras (version I got was 0.0.7) being not quite up-to-date with optuna library is the reason for the issue. I was able to make it work with optuna 1.5.0 by doing the following changes:

            First, you'll need to monkey-patch get_default_trial like this before running your code:

            Source https://stackoverflow.com/questions/62656411

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

            Vulnerabilities

            No vulnerabilities reported

            Install optkeras

            Option 1: install from the PyPI. Option 2: install from the GitHub repository.

            Support

            Python 3.5 or later.
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            Install
          • PyPI

            pip install optkeras

          • CLONE
          • HTTPS

            https://github.com/Minyus/optkeras.git

          • CLI

            gh repo clone Minyus/optkeras

          • sshUrl

            git@github.com:Minyus/optkeras.git

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