
GitHub - kxytechnologies/kxy-python: A toolkit to boost the ...
The Docker image kxytechnologies/kxy has been built for your convenience, and comes with anaconda, auto-sklearn, and the kxy package. To start a Jupyter Notebook server from a sandboxed Docker environment, run
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Model Compression — The KXY Platform: Lean AutoML, As A …
First, KXY’s model-free variable selection is run (i.e. obj.kxy.variable_selection). Then we train a model (instance returned by learner_func) using the start_n_features most important feature/variable to predict the target (defined by target_column).
Getting Started — The KXY Platform: Lean AutoML, As A Service
The public Docker image kxytechnologies/kxy has been built for your convenience, and comes with anaconda, the kxy package, and various popular machine learning packages (e.g. Tensorflow, XGBoost, LightGBM, scikit-learn, and more).
kxy - PyPI
2011年1月4日 · The Docker image kxytechnologies/kxy has been built for your convenience, and comes with anaconda, auto-sklearn, and the kxy package. To start a Jupyter Notebook server from a sandboxed Docker environment, run
The KXY Platform: Lean AutoML, As A Service - KXY Technologies
We define a custom kxy pandas accessor below, namely the class Accessor, that extends the pandas DataFrame class with all our analyses, thereby allowing data scientists to tap into the power of the kxy toolkit within the comfort of their favorite data structure.
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The Productive Machine Learning Engineer
2022年5月3日 · How I Got In The Top 1% of A Kaggle Competition With kxy And No Hyper-Parameter Tuning. The solution that ranked 26th/1946 in the G-Research Crypto Forecasting Kaggle competition.
- 某些结果已被删除