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sklearn.ensemble.GradientBoostingRegressor — sc...
X_test , y_train , y_test = train_test_split ( ......>>> reg . score ( X_test , y_test ) 0.4... Methods apply (X)...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html -
feed.xml
if you want to test it: PUT test_index-1 GET test_index-1 Notes...ranking }, "text_chunk": { "type": "text" //the text from which...www.elastic.co/search-labs/rss/feed.xml -
sklearn.svm.SVR — scikit-learn 1.4.2 documentation
expected shape of X is (n_samples_test, n_samples_train). Returns :...shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html -
index.rst.txt
example compares non-nested and nested cross-validation strategies...class="sphx-glr-thumbnail-title">Nested versus non-nested cross-validation</div>...scikit-learn.org/stable/_sources/auto_examples/index.rst.txt -
sklearn.kernel_ridge.KernelRidge — scikit-learn...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.kernel_ridge.KernelRidge.html -
1.7. Gaussian Processes — scikit-learn 1.4.2 do...
= noise\_level \text{ if } x_i == x_j \text{ else } 0\] 1.7.4.2....probabilistic classification, where test predictions take the form of...scikit-learn.org/stable/modules/gaussian_process.html -
sklearn.linear_model.GammaRegressor — scikit-le...
n_features) Test samples. y array-like of shape...is averaged by sample_weight. Best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.linear_model.GammaRegressor.html -
"Well, you seem like a person, but you're just ...
7 favorites ] still fails my test question on Germany and WW2,...15 favorites ] still fails my test question on Germany and WW2,...www.metafilter.com/203709/Well-you-seem-like-a-person-but-youre-just-a-voice-in-a-computer -
sklearn.linear_model.TweedieRegressor — scikit-...
n_features) Test samples. y array-like of shape...is averaged by sample_weight. Best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html -
Slashdot: News for nerds, stuff that matters
I've been testing out the Orange Pi 5 the past...Now, developers can create and test widgets that can be added to...build.slashdot.org -
Elastic's RAG-based AI Assistant: Analyze appli...
Test and save the inference pipeline...www.elastic.co/observability-labs/blog/elastic-rag-ai-assistant-application-issues-llm-github -
install.rst.txt
running the full scikit-learn test suite via automated continuous...ckages\\sklearn\\datasets\\tests\\data\\openml\\292\\api-v1-...scikit-learn.org/stable/_sources/install.rst.txt -
sklearn.impute.SimpleImputer — scikit-learn 1.4...
missing values at transform/test time. keep_empty_features bool,...simple estimators as well as on nested objects (such as Pipeline )....scikit-learn.org/stable/modules/generated/sklearn.impute.SimpleImputer.html -
sklearn.linear_model.LinearRegression — scikit-...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html -
sklearn.pipeline.Pipeline — scikit-learn 1.4.2 ...
X_test , y_train , y_test = train_test_split ( X ,..., y_train ) . score ( X_test , y_test ) 0.88 >>> # An estimator's...scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html -
sklearn.linear_model.RANSACRegressor — scikit-l...
the mean accuracy on the given test data, which is used for the...Attributes : estimator_ object Best fitted model (copy of the estimator...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RANSACRegressor.html -
Enhancing SRE troubleshooting with the AI Assis...
are stored text_field : name of the field with the text of your..."inline": "ctx._source.text=ctx._source.remove(\"<text_field>\");ctx....www.elastic.co/observability-labs/blog/sre-troubleshooting-ai-assistant-observability-runbooks -
sklearn.linear_model.HuberRegressor — scikit-le...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
2.6. Covariance estimation — scikit-learn 1.4.2...
then the test set is supposed to have the...scikit-learn.org/stable/modules/covariance.html -
sklearn.linear_model.BayesianRidge — scikit-lea...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.linear_model.BayesianRidge.html