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Tune-sklearn Alternatives
Similar projects and alternatives to tune-sklearn based on common topics and language
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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spock
spock is a framework that helps manage complex parameter configurations during research and development of Python applications (by fidelity)
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better tune-sklearn alternative or higher similarity.
tune-sklearn reviews and mentions
Posts with mentions or reviews of tune-sklearn.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-24.
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LightGBM vs. XGBoost: Which distributed version is faster?
Of course not! :)
The Ray ecosystem is actually chalk full of integrations, from XGBoost Ray (https://docs.ray.io/en/master/xgboost-ray.html), to PyTorch on Ray (https://docs.ray.io/en/master/using-ray-with-pytorch.html), and of course hyperparameter search with Ray Tune for a variety of libraries, including Sklearn (https://github.com/ray-project/tune-sklearn).
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[D] I'm new and scrappy. What tips do you have for better logging and documentation when training or hyperparameter training?
If you mainly use scikit-learn, you should consider using tune-sklearn.
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[P] Bayesian Hyperparameter Optimization with tune-sklearn in PyCaret
Just wanted to share a not widely known feature of PyCaret. By default, PyCaret's tune_model uses the tried and tested RandomizedSearchCV from scikit-learn. However, not everyone knows about the various advanced options tune_model() currently allows you to use such as cutting edge hyperparameter tuning techniques like Bayesian Optimization through libraries such as tune-sklearn, Hyperopt, and Optuna.
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[D] Here are 3 ways to Speed Up Scikit-Learn - Any suggestions?
You might want to try out tune-sklearn as it seems like it works for catboost as well. I am trying it use tune-sklearn to speed up my scikit-learn hyperparameter tuning.
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A note from our sponsor - InfluxDB
www.influxdata.com | 24 Apr 2024
Stats
Basic tune-sklearn repo stats
4
462
0.0
6 months ago
ray-project/tune-sklearn is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of tune-sklearn is Python.
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