scikit-learn-lambda | deploying scikit-learn models | Function As A Service library

by model-zoo Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | scikit-learn-lambda Summary

scikit-learn-lambda is a Python library typically used in Serverless, Function As A Service, Pytorch applications. scikit-learn-lambda has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However scikit-learn-lambda build file is not available. You can download it from GitHub.

scikit-learn-lambda provides three components:.

Support

Quality

Security

License

Reuse

Support

scikit-learn-lambda has a low active ecosystem.

It has 20 star(s) with 5 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 0 have been closed. On average issues are closed in 82 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of scikit-learn-lambda is current.

Quality

scikit-learn-lambda has 0 bugs and 13 code smells.

Security

scikit-learn-lambda has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

scikit-learn-lambda code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

scikit-learn-lambda 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

scikit-learn-lambda releases are not available. You will need to build from source code and install.

scikit-learn-lambda has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

It has 253 lines of code, 27 functions and 7 files.

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

Top functions reviewed by kandi - BETA

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

Handler for an event .
Load a model from a path .
Handler for HTTP response .
Load a model from a file .
Convert a numpy array response to bytes .
Get the cache instance .
Return the key of the query .
Get the probabilities for the given model .
Get prediction for given model .
Clear the cache .

Get all kandi verified functions for this library.

scikit-learn-lambda Key Features

No Key Features are available at this moment for scikit-learn-lambda.

scikit-learn-lambda Examples and Code Snippets

No Code Snippets are available at this moment for scikit-learn-lambda.

Community Discussions

Trending Discussions on Function As A Service

AngularJS - move repeating functions from controller to service

Start container instance on web request to FQDN

write angular js service to access multiple function

QUESTION

AngularJS - move repeating functions from controller to service

Asked 2021-Jul-28 at 16:14

Hi I'm pretty new at angular JS and i'm trying to refactor my controller and want to move repeating multisort function as a service and call it back in the controller.

Can someone help me in converting this below function as a service as it has all $scope and I know it can't be used in the service or factory:

...

ANSWER

Answered 2021-Jul-28 at 07:19

If you dont want to change the code, you can directly pass $scope to the service and get as scope.

Below is an working example, simplified on your requirement.

Source https://stackoverflow.com/questions/68555795

QUESTION

Start container instance on web request to FQDN

Asked 2020-Dec-17 at 23:09

Let's say we have a (containerized) backend which is only sparely used. Maybe once every couple of days or so, a (static) web front-end calls an API endpoint of that backend.

The backend conveniently happens to be stateless. No data store or anything.

We want to minimize the hosting cost for it, and ideally would like per-second billing. It's only gonna be running for a few minutes every month, and we only want to be charged for that usage. Basically, we want Function as a Service (FaaS), but for a whole backend and not just a single function.

Azure Container Instances appears to be great fit for this scenario. It can spin up the backend in a container when needed. The backend then can shut itself down again after a certain period of non-usage.

So, let's create a container instance...

...

ANSWER

Answered 2020-Dec-17 at 20:36

Azure Container Instances don't have a wehbook or HTTP trigger that will start them. However, you could use an Azure Function or Logic App that would effectively run az container start for you and then call THAT with HTTP. With either of those approaches, you'd have to setup some IAM permissions to give the Function or Logic App permissions to the ACI resource to start it.

One approach would be to:

Create an Azure Function with an HTTP trigger and a managed identity
Give the Managed identity contributor access to ACI container group
Run az container start or the equivalent REST call inside the function to start the ACI container
Call the Azure function (using the function token) to start the container.

Source https://stackoverflow.com/questions/65342897

QUESTION

write angular js service to access multiple function

Asked 2020-Mar-19 at 10:04

I am using below function to loadbenefittypes.

my get data function

...

ANSWER

Answered 2020-Mar-19 at 10:04

To re-factor the code to a service, return the $http promise:

Source https://stackoverflow.com/questions/60750057

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

Vulnerabilities

No vulnerabilities reported

Install scikit-learn-lambda

You have two options for deploying a model with Serverless framework. It is a good idea to match your Python version and scikit-learn version with the environment that was used to train and serialize the model. The default template is configured to use Python 3.7 and scikit-learn 0.23.1. To use a different version, change the layer ARN in the serverless template. We have prebuilt and published a set of AWS Lambda you can get started with quickly. For production usage, we recommend that you use our provided scripts to build and host your own AWS Lambda layer -- see Layers.
Package your model as part of the deployment package upload to AWS Lambda. This option will require your model file to be under ~50 MB, but achieve the best cold-start latency.
Store your model into Amazon S3 and load it from there on AWS Lambda initialization. This option has no model size constraints.
Install Serverless
Configure your AWS credentials
Copy your model joblib file to scikit-learn-lambda/model.joblib, the same directory that serverless.yaml is in.
Deploy your model with Serverless framework.
Test the your endpoint with some example data:
Edit the environment variable SKLEARN_MODEL_PATH in scikit-learn-lambda/serverless.yaml to specify an s3 URL.
Add an IAM Role that gives the Lambda function permission to access the model file at the specified S3 path.
Deploy your model with Serverless framework.

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 .

Find more information at: