Balík: python3-tpot (0.11.7+dfsg-5)

[ Zdroj: tpot  ]

Automated Machine Learning tool built on top of scikit-learn

Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data.

Once TPOT is finished searching (or you get tired of waiting), it provides you with the Python code for the best pipeline it found so you can tinker with the pipeline from there.

TPOT is built on top of scikit-learn, so all of the code it generates should look familiar... if you're familiar with scikit-learn, anyway.

This package contains the Python 3.x version of TPOT.

Ostatné balíky súvisiace s balíkom python3-tpot

• dep: python3

  interactive high-level object-oriented language (default python3 version)

• dep: python3-deap (>= 1.2)

  Distributed Evolutionary Algorithms in Python3

• dep: python3-joblib (>= 0.13.2)

  nástroje na nenáročnú tvorbu rúr v jazyku Python

• dep: python3-numpy (>= 1.16.3)

  Fast array facility to the Python language (Python 3)

• dep: python3-pandas (>= 0.24.2)

  údajové štruktúry „relačných“ dát alebo dát „s označením“

• dep: python3-scipy (>= 1.3.1)

  vedecké nástroje pre Python 3

• dep: python3-sklearn (>= 1.0)

  Python modules for machine learning and data mining - Python 3

• dep: python3-stopit (>= 1.1.1)

  Timeout control decorator and context manager for Python3

• dep: python3-tqdm (>= 4.36.1)

  fast, extensible progress bar for Python 3 and CLI tool

• dep: python3-xgboost (>= 1.1.0)

  Scalable and Flexible Gradient Boosting (Python3)

• rec: python3-dask

  Minimal task scheduling abstraction for Python 3

• rec: python3-distributed

  Dask Distributed computing for Python 3

• rec: python3-torch

  Tensors and Dynamic neural networks in Python (Python Interface)

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Architektúra	Veľkosť balíka	Nainštalovaná veľkosť	Súbory
all	51.0 kB	307.0 kB	[zoznam súborov]