pip install forestci==0.5.1
forestci: confidence intervals for scikit-learn forest algorithms
SourceAmong top 5% packages on PyPI.
Over 15.5K downloads in the last 90 days.
forestci
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
Publications (and donations) tracer |
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Exploratory Spatial Data Analysis. |
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Scan your WiFi and get access point information and signal quality. |
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A framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits. |
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Implementation of community-based graph embedding for user classification. |
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Utility methods for generating labels for Twitter users and handling their storage and retrieval |
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Alternating Directions Dual Decomposition |
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Semantic similarity framework for knowledge graphs |
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A fast, robust library to check for offensive language in strings. |
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A package providing text segmentation evaluation metrics and utilities |
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Toolbox for Serenata de Amor project |
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A garden of scikit-learn compatible trees |
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k-Nearest Neighbor imputation |
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A visually appealing progress bar for long lasting computations. |
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QuickServer is a quick to use and easy to set up server implementation. |
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Provides validation and other tools for Brazilian document numbers. |
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Conditionally enter a context manager |
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Implementation of Tarjan's algorithm: resolve cyclic deps |
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Python Libraries and Tools for TensorFlow.js |
forestci
Proportion of downloaded versions in the last 3 months (only versions over 1%).
0.5.1 |
71.30% |
0.3 |
21.37% |
0.4.1 |
2.28% |
0.5 |
1.65% |
0.2 |
1.37% |
0.4 |
1.06% |