similarity_measures
Quantify the difference between two arbitrary curves in space (by cjekel)
distance-metrics
Distance metrics are one of the most important parts of some machine learning algorithms, supervised and unsupervised learning, it will help us to calculate and measure similarities between numerical values expressed as data points (by Wittline)
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| similarity_measures | distance-metrics | |
|---|---|---|
| 2 | 1 | |
| 236 | 4 | |
| - | - | |
| 5.4 | 3.6 | |
| 5 months ago | almost 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
similarity_measures
Posts with mentions or reviews of similarity_measures.
We have used some of these posts to build our list of alternatives
and similar projects.
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What exactly is Partial Curve Mapping?
The Python Implementation can be found here: https://github.com/cjekel/similarity_measures/blob/master/similaritymeasures/similaritymeasures.py
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Anyone here use the Similaritymeasures library? Why is a 2D array required?
According to the documentation the function takes two arguments (exp_data and num_data ) for the data set, which makes sense. What doesn't make sense is:
distance-metrics
Posts with mentions or reviews of distance-metrics.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-15.
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Data Engineering Projects for Beginners
Understanding Similarity Measures for Text Analysis
What are some alternatives?
When comparing similarity_measures and distance-metrics you can also consider the following projects:
pyDag - Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag
recommendation-system - Build a Content-Based Movie Recommender System (TF-IDF, BM25, BERT)
docker-livy - Dockerizing and Consuming an Apache Livy environment
data-engineer-challenge - Challenge Data Engineer
data-engineering-challenge-th - Dockerizing a Python Script for Web Scraping and consume the scraped data using FastApi (www.metroscubicos.com)
Dropout-Students-Prediction - The goal of this project is to identify students at risk of dropping out the school