pip install scikit-optimize==0.9.0
Sequential model-based optimization toolbox.
SourceAmong top 1000 packages on PyPI.
Over 2.6M downloads in the last 90 days.
scikit-optimize
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
An implementation of chunked, compressed, N-dimensional arrays for Python. |
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A Jupyter widget for dynamic Leaflet maps |
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Scipy trait types |
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Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano |
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Command line interface to and serialization format for Blosc |
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A suite of visual analysis and diagnostic tools for machine learning. |
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Interactive plotting for the Jupyter notebook, using d3.js and ipywidgets. |
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Tensors and Dynamic neural networks in Python with strong GPU acceleration |
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Diff and merge of Jupyter Notebooks |
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Altair: A declarative statistical visualization library for Python. |
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Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk. |
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None |
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A list of Python Standard Libraries (2.6-7, 3.2-8). |
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Python to Scilab bridge |
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docrepr renders Python docstrings in HTML |
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WinPython distribution tools, including WPPM |
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playing SQL directly on Python datas |
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A Jupyter kernel for Octave. |
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IPython cell magic to use .NET languages |
scikit-optimize
Proportion of downloaded versions in the last 3 months (only versions over 1%).
0.8.1 |
83.07% |
0.9.0 |
11.35% |
0.7.4 |
3.11% |
0.5.2 |
2.18% |