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Change Parameter Type reducer : IgniteBinaryOperator<R> to reducer : IgniteFunction<List<R>,R> in method public GroupTrainerKeysProcessorTask(trainingUUID UUID, ctxSupplier IgniteSupplier<C>, worker IgniteFunction<KeyAndContext<K,C>,ResultAndUpdates<R>>, keysSupplier IgniteSupplier<Stream<GroupTrainerCacheKey<K>>>, reducer IgniteFunction<List<R>,R>, cacheName String, ignite Ignite) in class org.apache.ignite.ml.trainers.group.GroupTrainerKeysProcessorTask |
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Change Parameter Type updaterSupplier : IgniteSupplier<ParameterUpdater<? super MultilayerPerceptron,P>> to updaterSupplier : IgniteSupplier<ParameterUpdateCalculator<MultilayerPerceptron,P>> in method public MLPLocalBatchTrainer(loss IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction>, updaterSupplier IgniteSupplier<ParameterUpdateCalculator<MultilayerPerceptron,P>>, errorThreshold double, maxIterations int) in class org.apache.ignite.ml.nn.trainers.local.MLPLocalBatchTrainer |
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Change Parameter Type reducer : IgniteBinaryOperator<R> to reducer : IgniteFunction<List<R>,R> in method public LocalKeysProcessorJob(ctxSupplier IgniteSupplier<C>, worker IgniteFunction<KeyAndContext<K,C>,ResultAndUpdates<R>>, keySupplier IgniteSupplier<Stream<GroupTrainerCacheKey<K>>>, reducer IgniteFunction<List<R>,R>, trainingUUID UUID, cacheName String) in class org.apache.ignite.ml.trainers.group.LocalKeysProcessorJob |
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Change Parameter Type reducer : IgniteBinaryOperator<O1> to reducer : IgniteFunction<List<O1>,O1> in method public thenDistributedForEntries(workerCtxExtractor IgniteBiFunction<O,L,IgniteSupplier<G>>, worker IgniteFunction<EntryAndContext<K,V,G>,ResultAndUpdates<O1>>, ks IgniteBiFunction<O,L,IgniteSupplier<Stream<GroupTrainerCacheKey<K>>>>, reducer IgniteFunction<List<O1>,O1>) : ComputationsChain<L,K,V,I,O1> in class org.apache.ignite.ml.trainers.group.chain.ComputationsChain |
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Change Parameter Type reducer : IgniteBinaryOperator<O1> to reducer : IgniteFunction<List<O1>,O1> in method public thenDistributedForKeys(worker IgniteFunction<GroupTrainerCacheKey<K>,ResultAndUpdates<O1>>, kf IgniteBiFunction<O,L,IgniteSupplier<Stream<GroupTrainerCacheKey<K>>>>, reducer IgniteFunction<List<O1>,O1>) : ComputationsChain<L,K,V,I,O1> in class org.apache.ignite.ml.trainers.group.chain.ComputationsChain |
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Change Parameter Type updaterSupplier : IgniteSupplier<ParameterUpdater<? super M,P>> to updaterSupplier : IgniteSupplier<ParameterUpdateCalculator<M,P>> in method public withUpdater(updaterSupplier IgniteSupplier<ParameterUpdateCalculator<M,P>>) : LocalBatchTrainer in class org.apache.ignite.ml.nn.trainers.local.LocalBatchTrainer |
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Change Parameter Type reducer : IgniteBinaryOperator<R> to reducer : IgniteFunction<List<R>,R> in method public LocalEntriesProcessorJob(ctxSupplier IgniteSupplier<C>, worker IgniteFunction<EntryAndContext<K,V,C>,ResultAndUpdates<R>>, keySupplier IgniteSupplier<Stream<GroupTrainerCacheKey<K>>>, reducer IgniteFunction<List<R>,R>, trainingUUID UUID, cacheName String) in class org.apache.ignite.ml.trainers.group.LocalEntriesProcessorJob |
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Change Parameter Type updaterSupplier : IgniteSupplier<ParameterUpdater<? super M,P>> to updaterSupplier : IgniteSupplier<ParameterUpdateCalculator<M,P>> in method public LocalBatchTrainer(loss IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction>, updaterSupplier IgniteSupplier<ParameterUpdateCalculator<M,P>>, errorThreshold double, maxIterations int) in class org.apache.ignite.ml.nn.trainers.local.LocalBatchTrainer |
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Change Parameter Type reducer : IgniteBinaryOperator<R> to reducer : IgniteFunction<List<R>,R> in method public GroupTrainerEntriesProcessorTask(trainingUUID UUID, ctxSupplier IgniteSupplier<C>, worker IgniteFunction<EntryAndContext<K,V,C>,ResultAndUpdates<R>>, keysSupplier IgniteSupplier<Stream<GroupTrainerCacheKey<K>>>, reducer IgniteFunction<List<R>,R>, cacheName String, ignite Ignite) in class org.apache.ignite.ml.trainers.group.GroupTrainerEntriesProcessorTask |
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Change Parameter Type reducer : IgniteBinaryOperator<R> to reducer : IgniteFunction<List<R>,R> in method public BaseLocalProcessorJob(worker IgniteFunction<T,ResultAndUpdates<R>>, keySupplier IgniteSupplier<Stream<GroupTrainerCacheKey<K>>>, reducer IgniteFunction<List<R>,R>, trainingUUID UUID, cacheName String) in class org.apache.ignite.ml.trainers.group.BaseLocalProcessorJob |
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Change Parameter Type reducer : IgniteBinaryOperator<O1> to reducer : IgniteFunction<List<O1>,O1> in method public thenDistributedForKeys(workerCtxExtractor IgniteBiFunction<O,L,IgniteSupplier<G>>, worker IgniteFunction<KeyAndContext<K,G>,ResultAndUpdates<O1>>, keysSupplier IgniteBiFunction<O,L,IgniteSupplier<Stream<GroupTrainerCacheKey<K>>>>, reducer IgniteFunction<List<O1>,O1>) : ComputationsChain<L,K,V,I,O1> in class org.apache.ignite.ml.trainers.group.chain.ComputationsChain |
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Change Parameter Type updaterSupplier : IgniteSupplier<ParameterUpdater<? super MultilayerPerceptron,P>> to updaterSupplier : IgniteSupplier<ParameterUpdateCalculator<MultilayerPerceptron,P>> in method private xorTest(updaterSupplier IgniteSupplier<ParameterUpdateCalculator<MultilayerPerceptron,P>>) : void in class org.apache.ignite.ml.nn.MLPLocalTrainerTest |
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Change Parameter Type reducer : IgniteBinaryOperator<R> to reducer : IgniteFunction<List<R>,R> in method public GroupTrainerBaseProcessorTask(trainingUUID UUID, ctxSupplier IgniteSupplier<C>, worker IgniteFunction<T,ResultAndUpdates<R>>, keysSupplier IgniteSupplier<Stream<GroupTrainerCacheKey<K>>>, reducer IgniteFunction<List<R>,R>, cacheName String, ignite Ignite) in class org.apache.ignite.ml.trainers.group.GroupTrainerBaseProcessorTask |
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Change Return Type RPropUpdaterParams to RPropParameterUpdate in method public setUpdatesMask(updatesMask Vector) : RPropParameterUpdate in class org.apache.ignite.ml.nn.updaters.RPropParameterUpdate |
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Change Return Type void to ResultAndUpdates<R> in method public updateCache(cache IgniteCache<K,V>, key K, val V) : ResultAndUpdates<R> in class org.apache.ignite.ml.trainers.group.ResultAndUpdates |
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Change Return Type IgniteBinaryOperator<Integer> to IgniteFunction<List<Integer>,Integer> in method protected reduceDistributedInitData() : IgniteFunction<List<Integer>,Integer> in class org.apache.ignite.ml.trainers.group.TestGroupTrainer |
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Change Return Type MLPLocalBatchTrainer<RPropUpdaterParams> to MLPLocalBatchTrainer<RPropParameterUpdate> in method public getDefault() : MLPLocalBatchTrainer<RPropParameterUpdate> in class org.apache.ignite.ml.nn.trainers.local.MLPLocalBatchTrainer |
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Change Return Type IgniteBinaryOperator<IN> to IgniteFunction<List<IN>,IN> in method protected abstract reduceDistributedInitData() : IgniteFunction<List<IN>,IN> in class org.apache.ignite.ml.trainers.group.GroupTrainer |
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Change Return Type void to TestGroupTrainerLocalContext in method public incCnt() : TestGroupTrainerLocalContext in class org.apache.ignite.ml.trainers.group.TestGroupTrainerLocalContext |
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Change Return Type RPropUpdaterParams to RPropParameterUpdate in method private setPrevIterationGradient(gradient Vector) : RPropParameterUpdate in class org.apache.ignite.ml.nn.updaters.RPropParameterUpdate |
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Change Return Type IgniteBinaryOperator<O> to IgniteFunction<List<O>,O> in method public reducer() : IgniteFunction<List<O>,O> in class org.apache.ignite.ml.trainers.group.chain.DistributedStep |
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Change Return Type Vector to RPropParameterUpdate in method private setPrevIterationUpdates(updates Vector) : RPropParameterUpdate in class org.apache.ignite.ml.nn.updaters.RPropParameterUpdate |
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Change Return Type IgniteBinaryOperator<Integer> to IgniteFunction<List<Integer>,Integer> in method protected finalResultsReducer() : IgniteFunction<List<Integer>,Integer> in class org.apache.ignite.ml.trainers.group.TestGroupTrainer |
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Change Return Type IgniteBinaryOperator<O> to IgniteFunction<List<O>,O> in method public reducer() : IgniteFunction<List<O>,O> in class org.apache.ignite.ml.trainers.group.MetaoptimizerDistributedStep |
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Change Return Type IgniteBinaryOperator<IN> to IgniteFunction<List<IN>,IN> in method protected reduceDistributedInitData() : IgniteFunction<List<IN>,IN> in class org.apache.ignite.ml.trainers.group.MetaoptimizerGroupTrainer |
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Change Return Type IgniteBinaryOperator<Double> to IgniteFunction<List<Double>,Double> in method public reducer() : IgniteFunction<List<Double>,Double> in class org.apache.ignite.ml.trainers.group.TestTrainingLoopStep |
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Change Return Type IgniteBinaryOperator<O> to IgniteFunction<List<O>,O> in method public postProcessReducer() : IgniteFunction<List<O>,O> in class org.apache.ignite.ml.trainers.group.Metaoptimizer |
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Change Return Type IgniteBinaryOperator<R> to IgniteFunction<List<R>,R> in method protected abstract finalResultsReducer() : IgniteFunction<List<R>,R> in class org.apache.ignite.ml.trainers.group.GroupTrainer |
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Change Return Type IgniteBinaryOperator<D> to IgniteFunction<List<D>,D> in method public initialReducer() : IgniteFunction<List<D>,D> in class org.apache.ignite.ml.trainers.group.Metaoptimizer |
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Change Return Type NesterovUpdaterParams to NesterovParameterUpdate in method public setPreviousUpdates(updates Vector) : NesterovParameterUpdate in class org.apache.ignite.ml.nn.updaters.NesterovParameterUpdate |
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