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Docker — Elastic Search Labs
container: docker run -p 9200:9200 -d --name elasticsearch \ -e "di...www.elastic.co/search-labs/tutorials/install-elasticsearch/docker -
sklearn.preprocessing.OrdinalEncoder — scikit-l...
“a” and “d” are considered infrequent and..."b" ] * 20 + [ "c" ] * 10 + [ "d" ] * 3 + [ np . nan ]], ... dtype...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html -
sklearn.gaussian_process.kernels.ExpSineSquared...
\text{exp}\left(- \frac{ 2\sin^2(\pi d(x_i, x_j)/p) }{ l^ 2} \right)\]...periodicity of the kernel and \(d(\cdot,\cdot)\) is the Euclidean...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.html -
Statistical learning: the setting and the estim...
takes a dataset (usually a 2-d array): >>> estimator . fit (...scikit-learn.org/stable/tutorial/statistical_inference/settings.html -
6.7. Kernel Approximation — scikit-learn 1.4.2 ...
x^\top y +c_0)^d\] where: x , y are the input vectors d is the kernel...kernel of degree d consists of all possible degree- d products among...scikit-learn.org/stable/modules/kernel_approximation.html -
sklearn.gaussian_process.kernels.RBF — scikit-l...
x_j) = \exp\left(- \frac{d(x_i, x_j)^2}{2l^2} \right)\] where...length scale of the kernel and \(d(\cdot,\cdot)\) is the Euclidean...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.html -
1.2. Linear and Quadratic Discriminant Analysis...
training sample \(x \in \mathcal{R}^d\) : \[P(y=k | x) = \frac{P(x |...\[P(x | y=k) = \frac{1}{(2\pi)^{d/2} |\Sigma_k|^{1/2}}\exp\left(-\frac{1}{2}...scikit-learn.org/stable/modules/lda_qda.html -
sklearn.preprocessing.LabelBinarizer — scikit-l...
The 2-d matrix should only contain 0 and...n_classes) Target values. The 2-d matrix should only contain 0 and...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html -
sklearn.feature_extraction.text.TfidfTransforme...
document d in a document set is tf-idf(t, d) = tf(t, d) * idf(t),...Wesley, pp. 68-74. [ MRS2008 ] C.D. Manning, P. Raghavan and H. Schütze...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html -
sklearn.feature_extraction.FeatureHasher — scik...
FeatureHasher ( n_features = 10 ) >>> D = [{ 'dog' : 1 , 'cat' : 2 , 'elephant'...5 }] >>> f = h . transform ( D ) >>> f . toarray () array([[...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html