pip install xtoy==0.5.63
get xtoyed predictions from raw data
SourceAmong top 50% packages on PyPI.
Over 1.9K downloads in the last 90 days.
xtoy
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
Fit interpretable machine learning models. Explain blackbox machine learning. |
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get xtoyed predictions from raw data |
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A Component Library for Dash aimed at facilitating network visualization in Python, wrapped around Cytoscape.js |
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A unified approach to explain the output of any machine learning model. |
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Local Interpretable Model-Agnostic Explanations for machine learning classifiers |
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Tools for sensitivity analysis. Contains Sobol, Morris, and FAST methods |
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Send file to trash natively under Mac OS X, Windows and Linux. |
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IBM AI Explainability 360 |
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OSQP: The Operator Splitting QP Solver |
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Package for interpreting scikit-learn's decision tree and random forest predictions. |
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Python client for the Prometheus monitoring system. |
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Use Stardog with Python! |
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Supercharging Machine Learning |
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Menpo library providing tools for 3D Computer Vision research |
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SAS XPORT file reader |
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JupyterLab Server |
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A Python toolkit for handling annotated data |
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Kaggle API |
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Dash table |
xtoy
Proportion of downloaded versions in the last 3 months (only versions over 1%).
0.5.63 |
10.75% |
0.5.61 |
7.06% |
0.5.62 |
7.06% |
0.5.59 |
5.61% |
0.5.60 |
5.56% |
0.3.44 |
5.51% |
0.3.46 |
5.45% |
0.5.57 |
5.40% |
0.3.49 |
5.40% |
0.3.48 |
5.35% |
0.3.47 |
5.35% |
0.2.36 |
5.30% |
0.2.38 |
5.30% |
0.2.37 |
5.30% |
0.2.39 |
5.25% |
0.2.43 |
5.25% |
0.0.1 |
2.55% |
0.0.24 |
2.55% |