linear_model.OrthogonalMatchingPursuitCV()
  • References/Python/scikit-learn/API Reference/linear_model

class sklearn.linear_model.OrthogonalMatchingPursuitCV(copy=True, fit_intercept=True, normalize=True, max_iter=None

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Probit.cdf()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.Probit.cdf Probit

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1.3.
  • References/Python/scikit-learn/Guide

Kernel ridge regression (KRR) [M2012]

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SimpleTable.extend_right()
  • References/Python/Statsmodels/Input-Output

statsmodels.iolib.table.SimpleTable.extend_right SimpleTable

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gis.gdal.Polygon.centroid
  • References/Python/Django/API/GDAL API

centroid Returns a Point representing the centroid of this polygon.

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RamsayE.weights()
  • References/Python/Statsmodels/Robust Linear Models

statsmodels.robust.norms.RamsayE.weights RamsayE.weights(z)

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SkewNorm2_gen.est_loc_scale()
  • References/Python/Statsmodels/Distributions

statsmodels.sandbox.distributions.extras.SkewNorm2_gen.est_loc_scale

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GroupBy.sem()
  • References/Python/Pandas/API Reference/GroupBy

GroupBy.sem(ddof=1)

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QuantRegResults.remove_data()
  • References/Python/Statsmodels/Linear Regression

statsmodels.regression.quantile_regression.QuantRegResults.remove_data

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numpy.polynomial.hermite.hermval()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Hermite Module, “Physicists’”

numpy.polynomial.hermite.hermval(x, c, tensor=True)

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