public interface  io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent extends java.lang.Object implements io.fabric.kubernetes.api.builder.Fluent
{
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent addToMachineConfigLabels(java.lang.String, java.lang.String);
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent addToMachineConfigLabels(java.util.Map);
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent removeFromMachineConfigLabels(java.lang.String);
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent removeFromMachineConfigLabels(java.util.Map);
public abstract java.util.Map getMachineConfigLabels();
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent withMachineConfigLabels(java.util.Map);
public abstract java.lang.Boolean hasMachineConfigLabels();
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent addToMatch(java.lang.Integer, io.fabric.openshift.api.model.tuned.v.TunedMatch);
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent setToMatch(java.lang.Integer, io.fabric.openshift.api.model.tuned.v.TunedMatch);
public abstract transient io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent addToMatch(io.fabric.openshift.api.model.tuned.v.TunedMatch[]);
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent addAllToMatch(java.util.Collection);
public abstract transient io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent removeFromMatch(io.fabric.openshift.api.model.tuned.v.TunedMatch[]);
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent removeAllFromMatch(java.util.Collection);
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent removeMatchingFromMatch(java.util.function.Predicate);
public abstract java.util.List getMatch();
public abstract java.util.List buildMatch();
public abstract io.fabric.openshift.api.model.tuned.v.TunedMatch buildMatch(java.lang.Integer);
public abstract io.fabric.openshift.api.model.tuned.v.TunedMatch buildFirstMatch();
public abstract io.fabric.openshift.api.model.tuned.v.TunedMatch buildLastMatch();
public abstract io.fabric.openshift.api.model.tuned.v.TunedMatch buildMatchingMatch(java.util.function.Predicate);
public abstract java.lang.Boolean hasMatchingMatch(java.util.function.Predicate);
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent withMatch(java.util.List);
public abstract transient io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent withMatch(io.fabric.openshift.api.model.tuned.v.TunedMatch[]);
public abstract java.lang.Boolean hasMatch();
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent$MatchNested addNewMatch();
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent$MatchNested addNewMatchLike(io.fabric.openshift.api.model.tuned.v.TunedMatch);
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent$MatchNested setNewMatchLike(java.lang.Integer, io.fabric.openshift.api.model.tuned.v.TunedMatch);
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent$MatchNested editMatch(java.lang.Integer);
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent$MatchNested editFirstMatch();
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent$MatchNested editLastMatch();
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent$MatchNested editMatchingMatch(java.util.function.Predicate);
public abstract io.fabric.openshift.api.model.tuned.v.OperandConfig getOperand();
public abstract io.fabric.openshift.api.model.tuned.v.OperandConfig buildOperand();
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent withOperand(io.fabric.openshift.api.model.tuned.v.OperandConfig);
public abstract java.lang.Boolean hasOperand();
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent withNewOperand(java.lang.Boolean);
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent$OperandNested withNewOperand();
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent$OperandNested withNewOperandLike(io.fabric.openshift.api.model.tuned.v.OperandConfig);
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent$OperandNested editOperand();
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent$OperandNested editOrNewOperand();
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent$OperandNested editOrNewOperandLike(io.fabric.openshift.api.model.tuned.v.OperandConfig);
public abstract java.lang.Long getPriority();
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent withPriority(java.lang.Long);
public abstract java.lang.Boolean hasPriority();
public abstract java.lang.String getProfile();
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent withProfile(java.lang.String);
public abstract java.lang.Boolean hasProfile();
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent withNewProfile(java.lang.String);
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent addToAdditionalProperties(java.lang.String, java.lang.Object);
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent addToAdditionalProperties(java.util.Map);
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent removeFromAdditionalProperties(java.lang.String);
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent removeFromAdditionalProperties(java.util.Map);
public abstract java.util.Map getAdditionalProperties();
public abstract io.fabric.openshift.api.model.tuned.v.TunedRecommendFluent withAdditionalProperties(java.util.Map);
public abstract java.lang.Boolean hasAdditionalProperties();
}