- Sort Score
- Num 10 results
- Language All
- Labels All
Results 1311 - 1320 of over 10,000 for 2 (1.76 seconds)
Filter
-
lasso_path — scikit-learn 1.8.0 documenta...
it is: ( 1 / ( 2 * n_samples )) * || Y - XW ||^ 2 _Fro + alpha...X = np . array ([[ 1 , 2 , 3.1 ], [ 2.3 , 5.4 , 4.3 ]]) . T >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lasso_path.html -
Installation mit Docker (Detailliert)
ist installiert Docker Compose 2.0 oder höher ist installiert Überprüfung...ose-opensearch3.yaml Methode 2: Repository mit Git klonen Wenn...fess.codelibs.org/de/15.5/install/install-docker.html -
Tweedie regression on insurance claims — ...
9900 2.015718e+02 2.015412e+02 2.015342e+02 2.015600e+02...abs. error 2.730129e+02 2.722124e+02 2.740176e+02 2.731633e+02...scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html -
Introduction to Node package manager - IBM Deve...
├── chalk@ 2.4 .1 deduped │ │ ├── esutils@ 2.0 .2 deduped │ │...│ │ └─┬ uri- js@ 4.2 .2 │ │ └── punycode@ 2.1 .1 │ ├─┬ babel-code-...developer.ibm.com/learningpaths/get-started-nodejs/learn-about-npm/ -
StratifiedKFold — scikit-learn 1.8.0 docu...
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...n_splits = 2 ) >>> skf . get_n_splits () 2 >>>...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html -
Elasticsearch 9.3 adds bfloat16 vector support ...
only use 2 bytes. It does this by discarding the lowest 2 bytes...float16 format, which only uses 2 bytes per value. However, this...www.elastic.co/search-labs/blog/bfloat16-vector-support-elasticsearch -
VotingRegressor — scikit-learn 1.8.0 docu...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...X = np . array ([[ 1 , 1 ], [ 2 , 4 ], [ 3 , 9 ], [ 4 , 16 ],...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingRegressor.html -
MultiTaskLassoCV — scikit-learn 1.8.0 doc...
it is: ( 1 / ( 2 * n_samples )) * || Y - XW ||^ 2 _Fro + alpha...X = np . array ([[ 1 , 2 , 3.1 ], [ 2.3 , 5.4 , 4.3 ]]) . T >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLassoCV.html -
neighbors.rst.txt
[-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]]) >>> nbrs...np.array([[-1, -1], [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]]) >>> kdt...scikit-learn.org/stable/_sources/modules/neighbors.rst.txt -
LabelBinarizer — scikit-learn 1.8.0 docum...
2 , 6 , 4 , 2 ]) LabelBinarizer() >>>...array([0, 1, 2]) >>> lb . transform ([ 0 , 1 , 2 , 1 ]) array([[1,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html