omegaml
Metrics
omegaml | Metrics | |
---|---|---|
2 | 2 | |
94 | 1,617 | |
- | - | |
8.1 | 0.0 | |
2 days ago | over 1 year ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
omegaml
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What are some open-source ML pipeline managers that are easy to use?
May I add, https://github.com/omegaml/omegaml
- Who uses Apache Airflow for MLOps? Enlighten me.
Metrics
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Model evaluation - MAP@K
Starting with Python we’re going to code the functions from scratch using the values determined from the linear regression model. First we’re going to write a function to calculate the Average Precision at K. It will take in three values, the value from the test set, and value from the model prediction, and finally the value for K. This code can be found in the Github for the ml_metrics Python Library.
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How to Judge your Recommendation System Model ?
These metrics are straightforward to implement, also can be obtained from here. Happy Learning !
What are some alternatives?
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
seqeval - A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
srez - Image super-resolution through deep learning
tensorflow - An Open Source Machine Learning Framework for Everyone
MLflow - Open source platform for the machine learning lifecycle
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Keras - Deep Learning for humans
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
scikit-learn - scikit-learn: machine learning in Python
pdpipe - Easy pipelines for pandas DataFrames.
gym - A toolkit for developing and comparing reinforcement learning algorithms.