apls | Python code to evaluate the APLS | Analytics library
kandi X-RAY | apls Summary
kandi X-RAY | apls Summary
This package evaluates the Average Path Length Similarity (APLS) metric to measure the difference between ground truth and proposal graphs. The metric sums the differences in optimal path lengths between all nodes in the ground truth graph G and the proposal graph G’. This metric was used to score the SpaceNet 3 challenge. For further details, see Blog1 and Blog2.
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Top functions reviewed by kandi - BETA
- Compute the results of the APLS
- Create a linestring of a graph
- Compute the path similarity measure
- Compute Apls metric for a pls
- Compute a set of matching routes
- Calculate the difference between two paths
- Gathers files from the ground truth graph
- Remove all sub - graphs from a network
- Create a networkx graph from OSM data
- R Generate a graph from a list of nodes
- Refine G0GT graph
- Create a G0GT graph
- Helper function to get the road buffer
- Convert gdal to raster
- Function to create a buffer based on input geometry
- Convert a GeoJSON directory to a WKT file
- Convert geojson to WKT
- Update geojson directory speed_speed
- Helper function to add speed to geojson
- Compute the matching route
- Calculates the pixel distance from the given measurements
- Create a mask array from an image file
- Clean intersection of nodes
- Function to create the speed GDF file
- Generate a graph from a list of nodes
- Create a speed image from a GDF file
- Convert a geojson file into an array
- Create networkx graph from OSM data
- Recursively create a linestring
- Create masks
apls Key Features
apls Examples and Code Snippets
Lines of Code : 24License : Permissive (Apache-2.0)
Copy# for further details: python apls.py --help
# 1. Compare a ground truth SpaceNet geojson with a submission csv
python apls.py --test_method=gt_json_prop_wkt --output_name=gt_json_prop_wkt \
--truth_dir=data/gt_json_prop_wkt/ground_truth_randomized pip install apls
Community Discussions
Trending Discussions on apls
QUESTION
I've been studying full-stack dev for quite some time, after doing some projects with backed node.js and frontend handlebars and ejs, now I am working on Angular webapps. The question is that using modules and services, I can manage to call to APLs, have an authentication set up and connect to databases ( Using firebase and the angularfire2) with all these being done in Angular, I feel like for some projects having a node.js backend could be an overkill... So if I can make a functioning webapp using only angular , why and when do I need to go back and have a full MEAN stack developed for a project?
...ANSWER
Answered 2018-Jun-16 at 19:10Firebase is an awesome BaaS - Backend as a Service. If you have no need to create a custom backend then you have no need. This just means your web app may not need the added complexity. Here are reasons someone would create their own:
Requests get Cached - If someone using your web app makes an API request directly to your Firebase API, some other user may make the same request seconds later. If you had a Node.JS server making that request to FireBase those 2 requests would only be 1, as your server would've cached the response.
Cost - using the example I gave above imagine that number being multiplied by 20 you can begin to see how your costs would differ, as when it comes to a BaaS you're paying for bandwidth. Now say you want your web app to be used on different continents, does Firebase allow GCP Regions (this allows you to have a server instance in places like US-WEST, US-EAST, EU-London)?
Complex Data Models - One of the problems with some BaaS' is the issue of related data. While you may have simple relationships in your current app, imagine a web app that has much more complexity around related models. Say this is the data you're needing for an angular view:
- User
- Posts (last 10)
- Likes (last 10
- Favorites (last 10)
In a lot of cases it would be more beneficial for your server to do a much more complex query, gather this data and send it back in 1 requests versus coding 4 different requests in the angular client. Imagine if this continues how large the angular code base can become, this ties back to the point about costs. Now imagine paging through just the Posts, you'd have to get pretty creative with your Firebase requests.
These are the things to consider. If they don't apply, then they don't apply, and if they do YOU'LL know.
QUESTION
I'm looking to remove everything before and including the "." before a specific text, like ".edu" or ".gov".
...ANSWER
Answered 2017-May-04 at 22:11When messing around with regular expressions there are several websites that offer tools to help you. I like http://regexr.com/ At first it can take a few minutes of tinkering, but after doing it a few times it is fairly straight forward. In your case the regular expression you are looking for is:
\w*(\.gov|\.edu*).*
The \w* selects the word before either .gov or .edu. Periods are escaped with a backslash. And .* selects everything after your selectors which are everything inside ().
I would note that in R \ also need to be escaped so these will be \\.
One of the simpler ways to extract a match in R is:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install apls
You can use apls 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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