個数を表す変数名でnum_ooos, n_ooosになるものまとめたい
コメント
多くのコメントで使われている。
コード
code:sklearnのコメント
n_samples : int, optional (default=100)
The number of samples.
n_features : int, optional (default=20)
The total number of features. These comprise n_informative
informative features, n_redundant redundant features,
n_repeated duplicated features and
n_features-n_informative-n_redundant-n_repeated useless features
drawn at random.
n_informative : int, optional (default=2)
The number of informative features. Each class is composed of a number
of gaussian clusters each located around the vertices of a hypercube
in a subspace of dimension n_informative. For each cluster,
informative features are drawn independently from N(0, 1) and then
randomly linearly combined within each cluster in order to add
covariance. The clusters are then placed on the vertices of the
hypercube.
n_redundant : int, optional (default=2)
The number of redundant features. These features are generated as
random linear combinations of the informative features.
n_repeated : int, optional (default=0)
The number of duplicated features, drawn randomly from the informative
and the redundant features.
n_classes : int, optional (default=2)
The number of classes (or labels) of the classification problem.
n_clusters_per_class : int, optional (default=2)
The number of clusters per class.
numBits
code:js
var options = {
userIds: name:'Jon Smith', email:'jon@example.com' }, // multiple user IDs
numBits: 4096, // RSA key size
passphrase: 'super long and hard to guess secret' // protects the private key
};
numExpectedResponses
numListeners()
cloudflare/boringtun: