metromile | cool stuff with Metromile driving data
kandi X-RAY | metromile Summary
kandi X-RAY | metromile Summary
metromile is a Python library typically used in Manufacturing, Utilities, Automotive applications. metromile has no bugs, it has no vulnerabilities and it has low support. However metromile build file is not available. You can download it from GitHub.
The program guess_car_specs.py guesses the gear ratios in a vehicle's transmission based on a sample of its driving data. The driving data is collected via a device plugged in the OBD-II port and warehoused by Metromile (an insurance company) and is available to customers by request. The program's underlying operation relies heavily on an unsupervised machine learning clustering algorithm called 'mean shift'. The values of the gear ratios correspond to the N most populous mean shift cluster centers, where N is the number of gears (non-Reverse) in the vehicle's transmission.
The program guess_car_specs.py guesses the gear ratios in a vehicle's transmission based on a sample of its driving data. The driving data is collected via a device plugged in the OBD-II port and warehoused by Metromile (an insurance company) and is available to customers by request. The program's underlying operation relies heavily on an unsupervised machine learning clustering algorithm called 'mean shift'. The values of the gear ratios correspond to the N most populous mean shift cluster centers, where N is the number of gears (non-Reverse) in the vehicle's transmission.
Support
Quality
Security
License
Reuse
Support
metromile has a low active ecosystem.
It has 10 star(s) with 3 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
metromile has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of metromile is current.
Quality
metromile has no bugs reported.
Security
metromile has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
metromile 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
metromile releases are not available. You will need to build from source code and install.
metromile has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed metromile and discovered the below as its top functions. This is intended to give you an instant insight into metromile implemented functionality, and help decide if they suit your requirements.
- Visualize mean shift clustering .
- Given a polar_df and polar_ms and phi_ms .
- Visualize the vehicle speed vs . gear .
- Find a CSV file for a given month and year .
- Load the month data .
- Filter dataframe by neutral labels .
- Make a pandas DataFrame from a dataframe .
- Performs a mean shift clustering .
- Remove vehicle speed sensors from original dataframe
- Visualize a dataframe
Get all kandi verified functions for this library.
metromile Key Features
No Key Features are available at this moment for metromile.
metromile Examples and Code Snippets
No Code Snippets are available at this moment for metromile.
Community Discussions
Trending Discussions on metromile
QUESTION
Airflow delay between catchup instances
Asked 2018-Jun-27 at 07:37
I have the below dag settings to run catchup from 2015. For each execution date the task instance completes in under a minute. However, the next day's task starts only in 5 minute windows. E.g. 10:00 AM, 10:05 AM, 10:10 AM etc. I do not see a 5 minute interval specified for task instances. How can I modify the dag to trigger as soon as the previous instance finishes? I'm using Airflow Version 1.9.0
...ANSWER
Answered 2018-Jun-27 at 07:37If I am not mistaken, this is connected to the scheduler settings in airflow.cfg.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install metromile
You can download it from GitHub.
You can use metromile 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 metromile 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 .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
