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Common pitfalls in the interpretation of coeffi...
= { "MedAE on training set" : f " { mae_train : .2f } $/hour"...$/hour" , "MedAE on testing set" : f " { mae_test : .2f } $/hour" ,...scikit-learn.org/stable/auto_examples/inspection/plot_linear_model_coefficient_interpretation.html -
Release Highlights for scikit-learn 1.8 — sciki...
set_title ( f "Class { c } " ) axes [ i ] ....X , y ) toc = time () print ( f "Fitting ElasticNetCV took { toc...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_8_0.html -
Monitor OpenShift clusters with Metricbeat and ...
oc apply -f - <<EOF apiVersion: rbac.authorization.k8s.io/v1...applying the YAML files. oc apply -f - <<EOF apiVersion: v1 kind: Secret...developer.ibm.com/tutorials/awb-monitor-openshift-clusters-metricbeat-elasticsearch/ -
개발
GitHub Docker JavaDoc XRef I/F Doc 로드맵 버전 관리 방침 15.0 변경점 이슈 추적...fess.codelibs.org/ko/development.html -
plot_kmeans_digits.py
size print(f"# digits: {n_digits}; # samples:...scikit-learn.org/stable/_downloads/5a87b25ba023ee709595b8d02049f021/plot_kmeans_digits.py -
Creating OVA images for Red Hat OpenShift Conta...
instance bucket ( required ) -f , --file The path to the file...(Default: filename from --file|-f option) (optional) -n , --cos-instance-name...developer.ibm.com/tutorials/preparing-ova-for-openshift-on-cloud/ -
plot_kmeans_digits.ipynb
size\n\nprint(f\"# digits: {n_digits}; # samples:...scikit-learn.org/stable/_downloads/6bf322ce1724c13e6e0f8f719ebd253c/plot_kmeans_digits.ipynb -
A demo of K-Means clustering on the handwritten...
size print ( f "# digits: { n_digits } ; # samples:...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.html -
Tweedie regression on insurance claims — scikit...
75 F 7 1 61 50 B12 190 1 0.14 B 12...0.14 E 4 0 36 85 B12 424 2 0.62 F 10 0 51 100 B12 463 1 0.31 A 5...scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html -
DictionaryLearning — scikit-learn 1.8.0 documen...
F. Bach, J. Ponce, G. Sapiro, 2009:...scikit-learn.org/stable/modules/generated/sklearn.decomposition.DictionaryLearning.html