argparse.ArgumentParser
  • References/Python/Python/Operating System

class argparse.ArgumentParser(prog=None, usage=None, description=None, epilog=None, parents=[], formatter_class=argparse.HelpFormatter, prefix_chars='-', fromfile_prefix_chars=None

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DataFrame.pivot()
  • References/Python/Pandas/API Reference/DataFrame

DataFrame.pivot(index=None, columns=None, values=None)

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3.2.
  • References/Python/scikit-learn/Guide

Hyper-parameters are parameters that are not directly learnt within estimators. In scikit-learn they are passed as arguments to the constructor of

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sklearn.feature_extraction.image.extract_patches_2d()
  • References/Python/scikit-learn/API Reference/feature_extraction

sklearn.feature_extraction.image.extract_patches_2d(image, patch_size, max_patches=None, random_state=None)

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GLMResults.remove_data()
  • References/Python/Statsmodels/Generalized Linear Models

statsmodels.genmod.generalized_linear_model.GLMResults.remove_data

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Legendre.cutdeg()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Legendre Module

Legendre.cutdeg(deg)

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http.HttpResponse
  • References/Python/Django/API/Request and response objects

class HttpResponse [source] In contrast to HttpRequest objects, which are created

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PHReg.efron_loglike()
  • References/Python/Statsmodels/Models for Survival and Duration Analysis

statsmodels.duration.hazard_regression.PHReg.efron_loglike

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views.generic.list.MultipleObjectMixin.ordering
  • References/Python/Django/API/Multiple object mixins

ordering A string or list of strings specifying the ordering to apply to the queryset. Valid values are the same

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importlib.find_loader()
  • References/Python/Python/Importing

importlib.find_loader(name, path=None) Find the loader for a module, optionally within the specified path. If the module

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