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Demo of OPTICS clustering algorithm — scikit-le...
subplot ( G [ 0 , :]) ax2 = plt . subplot ( G [ 1 , 0 ]) ax3.... subplot ( G [ 1 , 1 ]) ax4 = plt . subplot ( G [ 1 , 2 ]) #...scikit-learn.org/stable/auto_examples/cluster/plot_optics.html -
glossary.rst.txt
g. predictions) should generally...about the dtype precision, e.g. `np.int32`, `np.int64`, etc....scikit-learn.org/stable/_sources/glossary.rst.txt -
roadmap.rst.txt
g. Pandas, Dask) and infrastructures (e.g. distributed...used with ColumnTransforms (e.g. ordinal encoding supervised by...scikit-learn.org/stable/_sources/roadmap.rst.txt -
Iso-probability lines for Gaussian Processes cl...
# A few constants lim = 8 def g ( x ): """The function to predict...consist in predicting whether g(x) <= 0 or not)""" return 5.0...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_isoprobability.html -
sklearn.preprocessing.power_transform — scikit-...
g. if the data is a numpy array...transformation with the Transformer API (e.g. as part of a preprocessing Pipeline...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.power_transform.html -
Press about BuzzFeed
www.buzzfeed.com/press -
Elastic Common Schema: Normalizing your data wi...
g., search, drill-down and pivoting,...visualization) or automated analysis (e.g., alerting, detection rules and...www.elastic.co/elasticsearch/common-schema -
sklearn.preprocessing.normalize — scikit-learn ...
g. if the data is a numpy array...using the Transformer API (e.g. as part of a preprocessing Pipeline...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.normalize.html -
sklearn.naive_bayes.MultinomialNB — scikit-lear...
g., word counts for text classification)....sub-estimator of a meta-estimator, e.g. used inside a Pipeline . Otherwise...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html -
sklearn.preprocessing.minmax_scale — scikit-lea...
g. if the data is a numpy array...using the Transformer API (e.g. as part of a preprocessing Pipeline...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.minmax_scale.html