kernel_ridge.KernelRidge()
  • References/Python/scikit-learn/API Reference/kernel_ridge

class sklearn.kernel_ridge.KernelRidge(alpha=1, kernel='linear', gamma=None, degree=3, coef0=1, kernel_params=None)

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ConnectionAbortedError
  • References/Python/Python/Built-in Exceptions

exception ConnectionAbortedError A subclass of ConnectionError, raised when a connection attempt is aborted by

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Sparse inverse covariance estimation
  • References/Python/scikit-learn/Examples/Covariance estimation

Using the GraphLasso estimator to learn a covariance and sparse precision from a small number of samples. To estimate a probabilistic model (e.g

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VAR.select_order()
  • References/Python/Statsmodels/Time Series analysis

statsmodels.tsa.vector_ar.var_model.VAR.select_order

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sklearn.metrics.pairwise.linear_kernel()
  • References/Python/scikit-learn/API Reference/metrics

sklearn.metrics.pairwise.linear_kernel(X, Y=None)

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os.close()
  • References/Python/Python/Operating System

os.close(fd) Close file descriptor fd.

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Logit.deriv2()
  • References/Python/Statsmodels/Generalized Estimating Equations

statsmodels.genmod.families.links.Logit.deriv2 Logit

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Concentration Prior Type Analysis of Variation Bayesian Gaussian Mixture
  • References/Python/scikit-learn/Examples/Gaussian Mixture Models

This example plots the ellipsoids obtained from a toy dataset (mixture of three Gaussians) fitted by the Baye

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wsgiref.handlers.BaseHandler.server_software
  • References/Python/Python/Internet

server_software If the origin_server attribute is set, this attribute’s value is used to set the default

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Topic extraction with Non-negative Matrix Factorization and Latent Dirichlet Allocation
  • References/Python/scikit-learn/Examples/Examples based on real world datasets

This is an example of applying Non-negative Matrix Factorization and Latent Dirichlet Allocation on a

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