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TransformedTargetRegressor — scikit-learn...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...The function needs to return a 2-dimensional array. inverse_func...scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
DistanceMetric — scikit-learn 1.8.0 docum...
HaversineDistance 2 arcsin(sqrt(sin^2(0.5*dx) + cos(x1)cos(x2)sin^2(0.5*dy)))...'euclidean' ) >>> X = [[ 1 , 2 ], [ 3 , 4 ], [ 5 , 6 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html -
check_array — scikit-learn 1.8.0 document...
ndim > 2. ensure_min_samples int, default=1...the input data has effectively 2 dimensions or is originally 1D...scikit-learn.org/stable/modules/generated/sklearn.utils.check_array.html -
SGDRegressor — scikit-learn 1.8.0 documen...
loss/||x||**2) . ‘pa2’: passive-aggressive algorithm 2, see [1]...eta = hinge_loss / (||x||**2 + 1/(2 eta0)) . Added in version...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html -
1.17. Neural network models (supervised) —...
predict ([[ 2. , 2. ], [ - 1. , - 2. ]]) array([1, 0])...coef in clf . coefs_ ] [(2, 5), (5, 2), (2, 1)] Currently, MLPClassifier...scikit-learn.org/stable/modules/neural_networks_supervised.html -
Fess Installationsanleitung
Installation von OpenSearch Schritt 2: Installation von Fess Schritt...Docker Compose-Dateien Schritt 2: Überprüfung der Docker Compose-Dateien...fess.codelibs.org/de/15.4/install/index.html -
mean_tweedie_deviance — scikit-learn 1.8....
= [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2....y_pred > 0. 1 < p < 2 : Compound Poisson distribution....scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
mean_absolute_percentage_error — scikit-l...
2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>..., 0. , 2.4 , 7. ] >>> y_pred = [ 1.2 , 0.1 , 2.4 , 8....scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_percentage_error.html -
auto_examples_python.zip
- l / 2.0) ** 2 + (y - l / 2.0) ** 2 < (l / 2.0) ** 2 mask =...+ 1, figsize=(4 * 2.2, n_classifiers * 2.2), ) evaluation_results...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
1.4. Support Vector Machines — scikit-lea...
[ 2 , 2 ]] >>> y = [ 0.5 , 2.5 ] >>>...>>> clf . predict ([[ 2. , 2. ]]) array([1]) SVMs decision...scikit-learn.org/stable/modules/svm.html