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9.1. Strategies to scale computationally: bigge...
1.1.1. Streaming instances # Basically, 1. may be a...minibatch_size to 100 and 10000 in the program and compare). 9.1.1.5. Notes...scikit-learn.org/stable/computing/scaling_strategies.html -
MultiTaskElasticNet — scikit-learn 1.8.0 docume...
array([[ 0., 0.787, 0.568], [ 0., 1.120, 0.620], [-0., -2.129,...( alpha = 0.1 ) >>> clf . fit ([[ 0 , 0 ], [ 1 , 1 ], [ 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNet.html -
GradientBoostingRegressor — scikit-learn 1.8.0 ...
learning_rate = 0.1 , n_estimators = 100 , subsample = 1.0 , criterion...in the range (0.0, 1.0) . verbose int, default=0 Enable verbose...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html -
MultiTaskElasticNetCV — scikit-learn 1.8.0 docu...
([[ 0 , 0 ], [ 1 , 1 ], [ 2 , 2 ]], ... [[ 0 , 0 ], [ 1 , 1 ],...array([[ 0., 0.787, 0.568], [ 0., 1.120, 0.620], [-0., -2.129,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNetCV.html -
MultiTaskLasso — scikit-learn 1.8.0 documentation
array([[ 0., 0.787, 0.568], [ 0., 1.120, 0.620], [-0., -2.129,...MultiTaskLasso ( alpha = 0.1 ) >>> clf . fit ([[ 0 , 1 ], [ 1 , 2 ], [ 2 ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLasso.html -
HuberRegressor — scikit-learn 1.8.0 documentation
epsilon = 1.35 , max_iter = 100 , alpha = 0.0001 , warm_start...Changed in version 0.20: In SciPy <= 1.0.0 the number of lbfgs...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
RidgeClassifierCV — scikit-learn 1.8.0 document...
RidgeClassifierCV ( alphas = (0.1, 1.0, 10.0) , * , fit_intercept =...shape (n_alphas,), default=(0.1, 1.0, 10.0) Array of alpha values...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeClassifierCV.html -
3.3. Tuning the decision threshold for class pr...
array([[0.94 , 0.06 ], [0.94 , 0.06 ], [0.0416, 0.9583], [0.0416,...weights = [ 0.1 , 0.9 ], random_state = 0 ) >>> pos_label = 0 >>> scorer...scikit-learn.org/stable/modules/classification_threshold.html -
1.2. Linear and Quadratic Discriminant Analysis...
equal to \(\frac{1}{n - 1} X_k^TX_k = \frac{1}{n - 1} V S^2 V^T\)...\frac{1}{(2\pi)^{d/2} |\Sigma_k|^{1/2}}\exp\left(-\frac{1}{2} (x-\mu_k)^T...scikit-learn.org/stable/modules/lda_qda.html -
9.2. Computational Performance — scikit-learn 1...
input are sparse (with 0.000024 and 0.027400 non-zero coefficients...return 1.0 - np . count_nonzero ( X ) / float ( X . shape [ 0 ] *...scikit-learn.org/stable/computing/computational_performance.html