aws-fleet-predictive-maintenance | Predictive Maintenance for Vehicle Fleets

by awslabs Python Version: Current License: Apache-2.0

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

kandi X-RAY | aws-fleet-predictive-maintenance Summary

aws-fleet-predictive-maintenance is a Python library typically used in Manufacturing, Utilities, Automotive applications. aws-fleet-predictive-maintenance has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However aws-fleet-predictive-maintenance build file is not available. You can download it from GitHub.

Predictive Maintenance for Vehicle Fleets

Support

Quality

Security

License

Reuse

Support

aws-fleet-predictive-maintenance has a low active ecosystem.

It has 13 star(s) with 4 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

aws-fleet-predictive-maintenance has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of aws-fleet-predictive-maintenance is current.

Quality

aws-fleet-predictive-maintenance has 0 bugs and 0 code smells.

Security

aws-fleet-predictive-maintenance has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

aws-fleet-predictive-maintenance code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

aws-fleet-predictive-maintenance 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

aws-fleet-predictive-maintenance releases are not available. You will need to build from source code and install.

aws-fleet-predictive-maintenance has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are available. Examples and code snippets are not available.

Top functions reviewed by kandi - BETA

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

Generate a dataset
Write data to a csv file
Calculate the threshold for the given stats
Generate fleet info
Generate sensor_logs_logs
The main function
Parse command line arguments
Run a single epoch
Pivot of fleet data
Write the data to the buffer
Append data to the writer
Sample a dataset
Load model
Create pandas dataframe from hpt
Builds the data from the given dataframe
Get vehicle properties headers
Apply transformation to a function
Calculates the percentage of values for a given array

Get all kandi verified functions for this library.

aws-fleet-predictive-maintenance Key Features

No Key Features are available at this moment for aws-fleet-predictive-maintenance.

aws-fleet-predictive-maintenance Examples and Code Snippets

No Code Snippets are available at this moment for aws-fleet-predictive-maintenance.

Community Discussions

No Community Discussions are available at this moment for aws-fleet-predictive-maintenance.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install aws-fleet-predictive-maintenance

Click on one of the following buttons to quick create the AWS CloudFormation Stack:. You should acknowledge the use of the two capabilities and click 'Create Stack'. Once stack creation has completed successfully, click the 'SageMakerNotebookInstanceSignOn' link on the 'Outputs' tab. You can start by reading the notebook '1_introduction.ipynb'. Caution: Cloning this GitHub repository and running the code manually could lead to unexpected issues! Use the AWS CloudFormation template. You'll get an Amazon SageMaker Notebook instance that's been correctly setup and configured to access the other resources in the solution.

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: