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Generalized Linear Models — scikit-learn ...
Examples concerning the sklearn.linear_model module. Comparing Linear Bayesian Regressors Curve Fitting with Bayesian Ridge Regression Decision Boundaries of Multinomial and One-vs-Rest Logistic Re...scikit-learn.org/stable/auto_examples/linear_model/index.html -
Pipelines and composite estimators — scik...
Examples of how to compose transformers and pipelines from other estimators. See the User Guide. Column Transformer with Heterogeneous Data Sources Column Transformer with Mixed Types Concatenating...scikit-learn.org/stable/auto_examples/compose/index.html -
Uses of Package org.springframework.web.client ...
use: package: org.springframework.web.clientdocs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/web/client/package-u... -
org.springframework.web.method Class Hierarchy ...
tree: package: org.springframework.web.methoddocs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/web/method/package-t... -
Uses of Package org.springframework.aop.interce...
use: package: org.springframework.aop.interceptordocs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/aop/interceptor/pack... -
Uses of Package org.springframework.messaging.c...
use: package: org.springframework.messaging.coredocs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/messaging/core/packa... -
Uses of Package org.springframework.transaction...
use: package: org.springframework.transaction.annotationdocs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/transaction/annotati... -
Uses of Package org.springframework.instrument....
use: package: org.springframework.instrument.classloadingdocs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/instrument/classload... -
Uses of Package org.springframework.web.socket ...
use: package: org.springframework.web.socketdocs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/web/socket/package-u... -
Tweedie regression on insurance claims — ...
tweedie_powers = [ 1.5 , 1.7 , 1.8 , 1.9 , 1.99 , 1.999 , 1.9999 ] scores_product_model...dev p=1.9990 1.914574e+03 1.914370e+03 1.914537e+03 1.914388e+03...scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html