searchspaces | searchspaces is a tool | Machine Learning library
kandi X-RAY | searchspaces Summary
kandi X-RAY | searchspaces Summary
searchspaces is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. searchspaces has no bugs, it has no vulnerabilities and it has low support. However searchspaces build file is not available. You can download it from GitHub.
searchspaces is a tool for describing hyperparameter search spaces. More generally it defines the PartialPlus primitive, based in spirit on functools.partial, for deferred evaluation. It currently supports import from pylearn2 YAML configuration files export to hyperopt.pyll for use with the hyperopt hyperparameter optimization suite. Coming very soon: completed configuration generators for SMAC. Coming in the medium-term: Spearmint support.
searchspaces is a tool for describing hyperparameter search spaces. More generally it defines the PartialPlus primitive, based in spirit on functools.partial, for deferred evaluation. It currently supports import from pylearn2 YAML configuration files export to hyperopt.pyll for use with the hyperopt hyperparameter optimization suite. Coming very soon: completed configuration generators for SMAC. Coming in the medium-term: Spearmint support.
Support
Quality
Security
License
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Support
searchspaces has a low active ecosystem.
It has 8 star(s) with 4 fork(s). There are 5 watchers for this library.
It had no major release in the last 6 months.
There are 8 open issues and 7 have been closed. On average issues are closed in 12 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of searchspaces is current.
Quality
searchspaces has no bugs reported.
Security
searchspaces has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
searchspaces does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
searchspaces releases are not available. You will need to build from source code and install.
searchspaces has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed searchspaces and discovered the below as its top functions. This is intended to give you an instant insight into searchspaces implemented functionality, and help decide if they suit your requirements.
- Load a yaml file
- Convert a proxy
- Recursively reconstruct a partial object
- Append yaml_src to obj
- Wrap a partial function
- Creates a callback function that returns yaml_src
- Parse a YAML stream into a Python object
- Clone the expression
- Perform a traversal traversal
- Perform a topological sort
- Removes the specified element from the deque
- Push an element onto the deque
- Remove the element from the deque
Get all kandi verified functions for this library.
searchspaces Key Features
No Key Features are available at this moment for searchspaces.
searchspaces Examples and Code Snippets
No Code Snippets are available at this moment for searchspaces.
Community Discussions
Trending Discussions on searchspaces
QUESTION
Bash script: Find string in a file and write a subsequent string it into another file
Asked 2020-Nov-11 at 18:06
I would like a bash script to find a string in a file and extract subsequent information by writing in into another file. Here is an example of the original content of file foo.txt:
...ANSWER
Answered 2020-Nov-11 at 18:06Using your provided XML file, the following xmlstarlet
invocation run in bash
will print out the matching record in TSV format:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install searchspaces
You can download it from GitHub.
You can use searchspaces like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use searchspaces like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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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