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sklearn.linear_model.GammaRegressor — scikit-le...
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.GammaRegressor.html -
Accelerating Elastic detection tradecraft with ...
to share how our internal AI R&D efforts have increased the productivity...plans to pursue further LLM R&D and decided to tackle one of our...www.elastic.co/security-labs/accelerating-elastic-detection-tradecraft-with-llms -
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 -
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 -
1.10. Decision Trees — scikit-learn 1.4.2 docum...
dataset \(D\) is defined as follows: \[\mathrm{LL}(D, T) = -\frac{1}{n}...y_i) \in D} \sum_k I(y_i = k) \log(T_k(x_i))\] where \(D\) is a...scikit-learn.org/stable/modules/tree.html -
It's sort of like Minority Report, I guess. | M...
Now I wish they'd put it up while I was there --...Virtual Earth, and others). I'd be happy to answer questions about...www.metafilter.com/74346/Its-sort-of-like-Minority-Report-I-guess