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fastica — scikit-learn 1.5.0 documentation
default=’logcosh’ The functional form of the G function used in the approximation...last dimension. Example: def my_g ( x ): return x ** 3 , ( 3 * x...scikit-learn.org/stable/modules/generated/fastica-function.html -
PLSCanonical — scikit-learn 1.5.0 documentation
g. used inside a Pipeline . Otherwise...sub-estimator of a meta-estimator, e.g. used inside a Pipeline . Otherwise...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSCanonical.html -
CountVectorizer — scikit-learn 1.5.0 documentation
g., a dict) where keys are terms...sub-estimator of a meta-estimator, e.g. used inside a Pipeline . Otherwise...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html -
10. Common pitfalls and recommended practices —...
g., fit(X) , can result in overly...These are usually estimators (e.g. RandomForestClassifi ) and cross-validation...scikit-learn.org/stable/common_pitfalls.html -
t-SNE: The effect of various perplexity values ...
c = "g" ) ax . xaxis . set_major_formatter..., 0 ], Y [ green , 1 ], c = "g" ) ax . xaxis . set_major_formatter...scikit-learn.org/stable/auto_examples/manifold/plot_t_sne_perplexity.html -
Effect of varying threshold for self-training —...
color = "g" ) ax2 . tick_params ( "y" , colors = "g" ) ax3 =...= 1 ), capsize = 2 , color = "g" , ) ax2 . set_ylim ( bottom =...scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html -
binarize — scikit-learn 1.5.0 documentation
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.binarize.html -
LarsCV — scikit-learn 1.5.0 documentation
g. used inside a Pipeline . Otherwise...sub-estimator of a meta-estimator, e.g. used inside a Pipeline . Otherwise...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LarsCV.html -
Glossary of Common Terms and API Elements — sci...
g. predictions) should generally...about the dtype precision, e.g. np.int32 , np.int64 , etc. When...scikit-learn.org/dev/glossary.html -
Single estimator versus bagging: bias-variance ...
g., notice the offset around x=2...(noise) # Author: Gilles Louppe <g.louppe@gmail.com> # License: BSD...scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html