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sklearn.linear_model.TweedieRegressor — scikit-...
D^2 is defined as \(D^2 = 1-\frac{D(y_{true},y_{pred})}{D_{null}}\)...Compute D^2, the percentage of deviance explained. D^2 is a generalization...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html -
1.7. Gaussian Processes — scikit-learn 1.4.2 do...
coefficients of \(x_d (d = 1, . . . , D)\) and a prior of \(N(0,...\text{exp}\left(- \frac{d(x_i, x_j)^2}{2l^2} \right)\] where \(d(\cdot, \cdot)\)...scikit-learn.org/stable/modules/gaussian_process.html -
Teacher Reveals How Her Students React To Learn...
stroke-linecap="round" stroke-linejoin="round" d="M8.25 4.5l7.5 7.5-7.5 7.5" />...stroke-linecap="round" stroke-linejoin="round" d="M15.75 19.5L8.25 12l7.5-7.5"...digg.com/digg-vids/link/teacher-raunchy-name-tikok-video -
This Quirky Renaissance Fair Drinking Tradition...
side would've broken out and I'd just start thinking of sick puppies...stroke-linecap="round" stroke-linejoin="round" d="M8.25 4.5l7.5 7.5-7.5 7.5" />...digg.com/digg-vids/link/renaissance-fair-drinking-video -
Introducing Scalar Quantization in Lucene — Ela...
a n t i z e d @ 15 quantized@15 q u an t i ze d @15 . Figure...vector storage file. Takes up d i m e n s i o n ∗ 4 ∗ n u m V...www.elastic.co/search-labs/blog/scalar-quantization-in-lucene -
sklearn.datasets.make_sparse_coded_signal — sci...
such that D is of shape (n_features, n_components)...default=False By default, Y, D and X are not transposed. New...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_coded_signal.html -
sklearn.linear_model.PoissonRegressor — scikit-...
D^2 is defined as \(D^2 = 1-\frac{D(y_{true},y_{pred})}{D_{null}}\)...Compute D^2, the percentage of deviance explained. D^2 is a generalization...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html -
sklearn.gaussian_process.kernels.Matern — sciki...
\frac{\sqrt{2\nu}}{l} d(x_i , x_j )\Bigg)\] where \(d(\cdot,\cdot)\)...\Bigg( \frac{\sqrt{2\nu}}{l} d(x_i , x_j ) \Bigg)^\nu K_\nu\Bigg(...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Matern.html -
sklearn.feature_extraction.DictVectorizer — sci...
DictVectorizer ( sparse = False ) >>> D = [{ 'foo' : 1 , 'bar' : 2 },...}] >>> X = v . fit_transform ( D ) >>> X array([[2., 0., 1.], [0.,...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html -
New Status Symbol For Rich Young Men: A $7,000 ...
he'd ordered the chair for himself...stroke-linecap="round" stroke-linejoin="round" d="M8.25 4.5l7.5 7.5-7.5 7.5" />...digg.com/insider/link/rich-young-men-herman-miller-eames-chair