8000 DOC Fix typos (#9386) · scikit-learn/scikit-learn@28ad450 · GitHub
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DOC Fix typos (#9386)
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doc/tutorial/machine_learning_map/svg2imagemap.py

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This script converts a subset of SVG into an HTML imagemap
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Note *subset*. It only handles <path> elements, for which it only pays
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attention to the M and L commands. Futher, it only notices the "translate"
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attention to the M and L commands. Further, it only notices the "translate"
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transform.
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It was written to generate the examples in the documentation for maphilight,

examples/covariance/plot_covariance_estimation.py

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# Plot results
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fig = plt.figure()
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plt.title("Regularized covariance: likelihood and shrinkage coefficient")
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plt.xlabel('Regularizaton parameter: shrinkage coefficient')
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plt.xlabel('Regularization parameter: shrinkage coefficient')
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plt.ylabel('Error: negative log-likelihood on test data')
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# range shrinkage curve
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plt.loglog(shrinkages, negative_logliks, label="Negative log-likelihood")

sklearn/mixture/gmm.py

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"'spherical', 'tied', 'diag', 'full'")
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@deprecated("The functon distribute_covar_matrix_to_match_covariance_type"
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@deprecated("The function distribute_covar_matrix_to_match_covariance_type"
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"is deprecated in 0.18 and will be removed in 0.20.")
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def distribute_covar_matrix_to_match_covariance_type(
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tied_cv, covariance_type, n_components):

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