lib5c

Depends On

• numpy (numpy>=1.10.4)
• scipy (scipy>=0.16.1)
• matplotlib (matplotlib>=2.1.0)
• pandas (pandas>=0.18.0)
• seaborn (seaborn>=0.8.0)
• statsmodels (statsmodels>=0.6.1;python_version>="3.5")
• dill (dill>=0.2.5)
• decorator (decorator>=4.0.10)
• luigi (luigi>=2.1.1)
• scikit-learn (scikit-learn>=0.17.1)
• interlap (interlap>=0.2.3)
• powerlaw (powerlaw>=1.4.3)
• importlib_metadata (importlib_metadata>=1.5.0;python_version<"3.8")
• configparser (configparser>=4.0.2;python_version<"3.2")

Depends On

Depends On

• numpy (numpy>=1.10.4)
• scipy (scipy>=0.16.1)
• matplotlib (matplotlib>=2.1.0)
• pandas (pandas>=0.18.0)
• seaborn (seaborn>=0.8.0)
• statsmodels (statsmodels>=0.6.1;python_version>="3.5")
• dill (dill>=0.2.5)
• decorator (decorator>=4.0.10)
• luigi (luigi>=2.1.1)
• scikit-learn (scikit-learn>=0.17.1)
• interlap (interlap>=0.2.3)
• powerlaw (powerlaw>=1.4.3)
• importlib_metadata (importlib_metadata>=1.5.0;python_version<"3.8")
• configparser (configparser>=4.0.2;python_version<"3.2")

Depends On

• python-daemon (python-daemon>=2.1.1,<2.2.0)
• numpy (numpy>=1.10.4)
• scipy (scipy>=0.16.1)
• matplotlib (matplotlib>=2.1.0)
• pandas (pandas>=0.18.0)
• seaborn (seaborn>=0.8.0)
• statsmodels (statsmodels>=0.6.1;python_version>="3.5")
• dill (dill>=0.2.5)
• decorator (decorator>=4.0.10)
• luigi (luigi>=2.1.1)
• scikit-learn (scikit-learn>=0.17.1)
• interlap (interlap>=0.2.3)
• powerlaw (powerlaw>=1.4.3)
• importlib_metadata (importlib_metadata>=1.5.0;python_version<"3.8")

Depends On

Depends On

• python-daemon (python-daemon>=2.1.1,<2.2.0)
• numpy (numpy>=1.10.4)
• scipy (scipy>=0.16.1)
• matplotlib (matplotlib>=2.1.0)
• pandas (pandas>=0.18.0)
• seaborn (seaborn>=0.8.0)
• statsmodels (statsmodels>=0.6.1;python_version>="3.5")
• dill (dill>=0.2.5)
• decorator (decorator>=4.0.10)
• luigi (luigi>=2.1.1)
• scikit-learn (scikit-learn>=0.17.1)
• interlap (interlap>=0.2.3)
• powerlaw (powerlaw>=1.4.3)
• importlib_metadata (importlib_metadata>=1.5.0;python_version<"3.8")

Depends On

Depends On

• python-daemon (python-daemon>=2.1.1,<2.2.0)
• numpy (numpy>=1.10.4)
• scipy (scipy>=0.16.1)
• matplotlib (matplotlib>=2.1.0)
• pandas (pandas>=0.18.0)
• seaborn (seaborn>=0.8.0)
• statsmodels (statsmodels>=0.6.1;python_version>="3.5")
• dill (dill>=0.2.5)
• decorator (decorator>=4.0.10)
• luigi (luigi>=2.1.1)
• scikit-learn (scikit-learn>=0.17.1)
• interlap (interlap>=0.2.3)
• powerlaw (powerlaw>=1.4.3)
• importlib_metadata (importlib_metadata>=1.5.0;python_version<"3.8")

Depends On

• python-daemon (python-daemon>=2.1.1,<2.2.0)
• numpy (numpy>=1.10.4)
• scipy (scipy>=0.16.1)
• matplotlib (matplotlib>=1.4.3)
• pandas (pandas>=0.18.0)
• seaborn (seaborn>=0.8.0)
• statsmodels (statsmodels>=0.6.1,<=0.10.2)
• dill (dill>=0.2.5)
• decorator (decorator>=4.0.10)
• luigi (luigi>=2.1.1)
• scikit-learn (scikit-learn>=0.17.1)
• interlap (interlap>=0.2.3)
• powerlaw (powerlaw>=1.4.3)

Depends On

• python-daemon (python-daemon>=2.1.1,<2.2.0)
• numpy (numpy>=1.10.4)
• scipy (scipy>=0.16.1)
• matplotlib (matplotlib>=1.4.3)
• pandas (pandas>=0.18.0)
• seaborn (seaborn>=0.8.0)
• statsmodels (statsmodels>=0.6.1)
• dill (dill>=0.2.5)
• decorator (decorator>=4.0.10)
• luigi (luigi>=2.1.1)
• scikit-learn (scikit-learn>=0.17.1)
• interlap (interlap>=0.2.3)
• powerlaw (powerlaw>=1.4.3)