serveit | Simple API serving for Python ML models | Machine Learning library
kandi X-RAY | serveit Summary
kandi X-RAY | serveit Summary
ServeIt lets you serve model predictions and supplementary information from a RESTful API using your favorite Python ML library in as little as one line of code:. Your new API is now accepting POST requests at localhost:5000/predictions! Please see the examples directory for detailed examples across domains (e.g., regression, image classification), including live examples.
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Top functions reviewed by kandi - BETA
- Create a RESTful resource endpoint
- Make serializable data
- Log an exception to the given logger
- Make a JSON response object
- Check if data is serializable
- Postprocessing for prediction
- Create an informational resource
- Convert image bytes to numpy array
- Construct a pretrained model
- Serve websocket
- Get a logger instance
serveit Key Features
serveit Examples and Code Snippets
Community Discussions
Trending Discussions on serveit
QUESTION
Need help on getting query on a text file using stored procedure in db2. I'm very new to this so please help.
Till now i am able to create a file and get get data in created file. But i want a complete query in the file not a single column data.
I have created a Stored Procedure like this
...ANSWER
Answered 2017-Feb-08 at 22:35There are no special registers/variables/etc. available in DB2 that provide the SQL statement that is being executed, so what you're asking for is not possible.
QUESTION
I am executing a select query. When number of tables is 10 or less then 10 query is executing fine.
...ANSWER
Answered 2017-Jan-10 at 05:52In the following query
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install serveit
You can use serveit 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.
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