Closed nikkisingh111333 closed 4 years ago
Craigacp
commented
4 years ago That's the trained models toString. It's very long because the toString encodes the provenance (as mentioned in the tutorials), it's an ensemble and each model in the ensemble captures the dataset information.
There isn't an error message in that output. Is there something else that makes you think it errored out? A stack trace or an exception?
Craigacp
commented
4 years ago If you want a way to reference a model via a string you can use setName and getName to tag it with something short and memorable. The default name is based on the trainer, here it's "random-forest-ensemble".
nikkisingh111333
commented
4 years ago no my main question is how can i get my crossvalidation scores i cant find it.i know mode has been trained on trained data in 10 folds.but wheres the score how to get it?
On Sat, 7 Nov 2020 at 21:08, Adam Pocock notifications@github.com wrote:
If you want a way to reference a model via a string you can use setName and getName to tag it with something short and memorable. The default name is based on the trainer, here it's "random-forest-ensemble".
— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/oracle/tribuo/issues/84#issuecomment-723460406, or unsubscribe https://github.com/notifications/unsubscribe-auth/AL3BT7CORXPVMZ6KUHT34HTSOVSXVANCNFSM4TNURMXA .
Craigacp
commented
4 years ago You can use EvaluationAggregator.summarize() to produce a Map from metric to DescriptiveStats which give the mean, variance, max and min of the metric. Or summarize a specific metric by passing in a getter function.
nikkisingh111333
commented
4 years ago i got it i m calling summarize but i m getting class cast exception here is my stack trace with code:
MY CODE:
LabelEvaluator eva=new LabelEvaluator(); CrossValidation cv=new CrossValidation(cart,trainData,eva,10); List ev=cv.evaluate(); EvaluationAggregator.summarize(ev);
AND I M GETTING THIS:
Exception in thread "main" java.lang.ClassCastException: com.oracle.labs.mlrg.olcut.util.Pair cannot be cast to org.tribuo.evaluation.Evaluation at org.tribuo.evaluation.EvaluationAggregator.summarize(EvaluationAggregator.java:166) at MachineLearningWithTRIBUO.TribuoML.DecisionTree(TribuoML.java:79) at MachineLearningWithTRIBUO.TribuoML.main(TribuoML.java:182)
There are other bunch of summarize api versions but dont understand where to pass what i have tried everything.
whats the matter ?
Craigacp
commented
4 years ago evaluate() returns a List<Pair<Evaluation,Model<T>>>. You need to pass in a List<Evaluation> to the aggregator. So make a new list and add the first element of each pair to it.
nikkisingh111333
commented
4 years ago thanks i got it..hey adam can you please suggest me any good data preparation tool i m really tired from finding a good one f=currently using tableau .not only limited features are there.
On Sun, 8 Nov 2020 at 01:23, Adam Pocock notifications@github.com wrote:
evaluate() returns a List<Pair<Evaluation,Model
>>. You need to pass in a List . — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/oracle/tribuo/issues/84#issuecomment-723487261, or unsubscribe https://github.com/notifications/unsubscribe-auth/AL3BT7G3CDD5YCF76TDKHJTSOWQSJANCNFSM4TNURMXA .
Craigacp
commented
4 years ago I don't have any specific recommendations on data prep, we tend to use a complex RowProcessor or use single use scripts for many of our tasks as it all depends where the data is and how much transformation it needs.
Hello, I was doing cross Validation and yesterday everything was fine but suddenly i started getting this error on random forest cCV evaluation
Balanced Error Rate 0.111, b=random-forest-ensemble - EnsembleModel(class-name=org.tribuo.ensemble.WeightedEnsembleModel,dataset=DatasetView(class-name=org.tribuo.dataset.DatasetView,datasource=Dataset(class-name=org.tribuo.MutableDataset,datasource=SplitDataSourceProvenance(className=org.tribuo.evaluation.TrainTestSplitter,innerSourceProvenance=CSV(class-name=org.tribuo.data.csv.CSVLoader,outputFactory=OutputFactory(class-name=org.tribuo.classification.LabelFactory),response-name=Species,separator=,,quote=",path=file:/C:/Users/Nikki%20singh/Downloads/Iris.csv,file-modified-time=2019-09-21T17:26:12+05:30,resource-hash=SHA-256[600AC44F23C2E6E0AE37DAAC8CEB2BABA4DF963EFA580EB31B3B576B28E34C55]),trainProportion=0.7,seed=1,size=150,isTrain=true),transformations=[],is-sequence=false,is-dense=false,num-examples=105,num-features=5,num-outputs=3,tribuo-version=4.0.1),transformations=[],is-sequence=false,is-dense=false,num-examples=95,num-features=5,num-outputs=3,tribuo-version=4.0.1,size=95,seed=-1,tag=TrainFold(seed=12345,10 of 10),weighted=false,sampled=false,indices=[]),trainer=Trainer(class-name=org.tribuo.common.tree.RandomForestTrainer,seed=12345,innerTrainer=Trainer(class-name=org.tribuo.classification.dtree.CARTClassificationTrainer,maxDepth=6,impurity=LabelImpurity(class-name=org.tribuo.classification.dtree.impurity.GiniIndex,host-short-name=LabelImpurity),seed=12345,fractionFeaturesInSplit=0.5,minChildWeight=5.0,train-invocation-count=450,is-sequence=false,host-short-name=Trainer),combiner=EnsembleCombiner(class-name=org.tribuo.classification.ensemble.VotingCombiner,host-short-name=EnsembleCombiner),numMembers=50,train-invocation-count=9,is-sequence=false,host-short-name=Trainer),trained-at=2020-11-07T17:14:24.038+05:30,instance-values={},member-provenance=[Model(class-name=org.tribuo.common.tree.TreeModel,dataset=DatasetView(class-name=org.tribuo.dataset.DatasetView,datasource=DatasetView(class-name=org.tribuo.dataset.DatasetView,datasource=Dataset(class-name=org.tribuo.MutableDataset,datasource=SplitDataSourceProvenance(className=org.tribuo.evaluation.TrainTestSplitter,innerSourceProvenance=CSV(class-name=org.tribuo.data.csv.CSVLoader,outputFactory=OutputFactory(class-name=org.tribuo.classification.LabelFactory),response-name=Species,separator=,,quote=",path=file:/C:/Users/Nikki%20singh/Downloads/Iris.csv,file-modified-time=2019-09-21T17:26:12+05:30,resource-hash=SHA-256[600AC44F23C2E6E0AE37DAAC8CEB2BABA4DF963EFA580EB31B3B576B28E34C55]),trainProportion=0.7,seed=1,size=150,isTrain=true),transformations=[],is-sequence=false,is-dense=false,num-examples=105,num-features=5,num-outputs=3,tribuo-version=4.0.1),transformations=[],is-sequence=false,is-dense=false,num-examples=95,num-features=5,num-outputs=3,tribuo-version=4.0.1,size=95,seed=-1,tag=TrainFold(seed=12345,10 of 10),weighted=false,sampled=false,indices=[]),transformations=[],is-sequence=false,is-dense=false,num-examples=95,num-features=5,num-outputs=3,tribuo-version=4.0.1,size=95,seed=391609216,tag=,weighted=false,sampled=true,indices=[]),trainer=Trainer(class-name=org.tribuo.classification.dtree.CARTClassificationTrainer,maxDepth=6,impurity=LabelImpurity(class-name=org.tribuo.classification.dtree.impurity.GiniIndex,host-short-name=LabelImpurity),seed=12345,fractionFeaturesInSplit=0.5,minChildWeight=5.0,train-invocation-count=450,is-sequence=false,host-short-name=Trainer),trained-at=2020-11-07T17:14:23.994+05:30,instance-values={},tribuo-version=4.0.1), Model(class-name=org.tribuo.common.tree.TreeModel,dataset=DatasetView(class-name=org.tribuo.dataset.DatasetView,datasource=DatasetView(class-name=org.tribuo.dataset.DatasetView,datasource=Dataset(class-name=org.tribuo.MutableDataset,datasource=SplitDataSourceProvenance(className=org.tribuo.evaluation.TrainTestSplitter,innerSourceProvenance=CSV(class-name=org.tribuo.data.csv.CSVLoader,outputFactory=OutputFactory(class-name=org.tribuo.classification.LabelFactory),response-name=Species,separator=,,quote=",path=file:/C:/Users/Nikki%20singh/Downloads/Iris.csv,file-modified-time=2019-09-21T17:26:12+05:30,resource-hash=SHA-256[600AC44F23C2E6E0AE37DAAC8CEB2BABA4DF963EFA580EB31B3B576B28E34C55]),trainProportion=0.7,seed=1,size=150,isTrain=true),transformations=[],is-sequence=false,is-dense=false,num-examples=105,num-features=5,num-outputs=3,tribuo-version=4.0.1),transformations=[],is-sequence=false,is-dense=false,num-examples=95,num-features=5,num-outputs=3,tribuo-version=4.0.1,size=95,seed=-1,tag=TrainFold(seed=12345,10 of 10),weighted=false,sampled=false,indices=[]),transformations=[],is-sequence=false,is-dense=false,num-examples=95,num-features=5,num-outputs=3,tribuo-version=4.0.1,size=95,seed=1095479433,tag=,weighted=false,sampled=true,indices=[]),trainer=Trainer(class-name=org.tribuo.classification.dtree.CARTClassificationTrainer,maxDepth=6,impurity=LabelImpurity(class-name=org.tribuo.classification.dtree.impurity.GiniIndex,host-short-name=LabelImpurity),seed=12345,fractionFeaturesInSplit=0.5,minChildWeight=5.0,train-invocation-count=451,is-sequence=false,host-short-name=Trainer),trained-at=2020-11-07T17:14:23.995+05:30,instance-values={},tribuo-version=4.0.1), Model(class-name=org.tribuo.common.tree.TreeModel,dataset=DatasetView(class-name=org.tribuo.dataset.DatasetView,datasource=DatasetView(class-name=org.tribuo.dataset.DatasetView,datasource=Dataset(class-name=org.tribuo.MutableDataset,datasource=SplitDataSourceProvenance(className=org.tribuo.evaluation.TrainTestSplitter,innerSourceProvenance=CSV(class-name=org.tribuo.data.csv.CSVLoader,outputFactory=OutputFactory(class-name=org.tribuo.classification.LabelFactory),response-name=Species,separator=,,quote=",path=file:/C:/Users/Nikki%20singh/Downloads/Iris.csv,file-modified-time=2019-09-21T17:26:12+05:30,resource-hash=SHA-256[600AC44F23C2E6E0AE37DAAC8CEB2BABA4DF963EFA580EB31B3B576B28E34C55]),trainProportion=0.7,seed=1,size=150,isTrain=true),transformations=[],is-sequence=false,is-dense=false,num-examples=105,num-features=5,num-outputs=3,tribuo-version=4.0.1),transformations=[],is-sequence=false,is-dense=false,num-examples=95,num-features=5,num-outputs=3,tribuo-version=4.0.1,size=95,seed=-1,tag=TrainFold(seed=12345,10 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Model(class-name=org.tribuo.common.tree.TreeModel,dataset=DatasetView(class-name=org.tribuo.dataset.DatasetView,datasource=DatasetView(class-name=org.tribuo.dataset.DatasetView,datasource=Dataset(class-name=org.tribuo.MutableDataset,datasource=SplitDataSourceProvenance(className=org.tribuo.evaluation.TrainTestSplitter,innerSourceProvenance=CSV(class-name=org.tribuo.data.csv.CSVLoader,outputFactory=OutputFactory(class-name=org.tribuo.classification.LabelFactory),response-name=Species,separator=,,quote=",path=file:/C:/Users/Nikki%20singh/Downloads/Iris.csv,file-modified-time=2019-09-21T17:26:12+05:30,resource-hash=SHA-256[600AC44F23C2E6E0AE37DAAC8CEB2BABA4DF963EFA580EB31B3B576B28E34C55]),trainProportion=0.7,seed=1,size=150,isTrain=true),transformations=[],is-sequence=false,is-dense=false,num-examples=105,num-features=5,num-outputs=3,tribuo-version=4.0.1),transformations=[],is-sequence=false,is-dense=false,num-examples=95,num-features=5,num-outputs=3,tribuo-version=4.0.1,size=95,seed=-1,tag=TrainFold(seed=12345,10 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Model(class-name=org.tribuo.common.tree.TreeModel,dataset=DatasetView(class-name=org.tribuo.dataset.DatasetView,datasource=DatasetView(class-name=org.tribuo.dataset.DatasetView,datasource=Dataset(class-name=org.tribuo.MutableDataset,datasource=SplitDataSourceProvenance(className=org.tribuo.evaluation.TrainTestSplitter,innerSourceProvenance=CSV(class-name=org.tribuo.data.csv.CSVLoader,outputFactory=OutputFactory(class-name=org.tribuo.classification.LabelFactory),response-name=Species,separator=,,quote=",path=file:/C:/Users/Nikki%20singh/Downloads/Iris.csv,file-modified-time=2019-09-21T17:26:12+05:30,resource-hash=SHA-256[600AC44F23C2E6E0AE37DAAC8CEB2BABA4DF963EFA580EB31B3B576B28E34C55]),trainProportion=0.7,seed=1,size=150,isTrain=true),transformations=[],is-sequence=false,is-dense=false,num-examples=105,num-features=5,num-outputs=3,tribuo-version=4.0.1),transformations=[],is-sequence=false,is-dense=false,num-examples=95,num-features=5,num-outputs=3,tribuo-version=4.0.1,size=95,seed=-1,tag=TrainFold(seed=12345,10 of 10),weighted=false,sampled=false,indices=[]),transformations=[],is-sequence=false,is-dense=false,num-examples=95,num-features=5,num-outputs=3,tribuo-version=4.0.1,size=95,seed=-1386680897,tag=,weighted=false,sampled=true,indices=[]),trainer=Trainer(class-name=org.tribuo.classification.dtree.CARTClassificationTrainer,maxDepth=6,impurity=LabelImpurity(class-name=org.tribuo.classification.dtree.impurity.GiniIndex,host-short-name=LabelImpurity),seed=12345,fractionFeaturesInSplit=0.5,minChildWeight=5.0,train-invocation-count=454,is-sequence=false,host-short-name=Trainer),trained-at=2020-11-07T17:14:23.999+05:30,instance-values={},tribuo-version=4.0.1), Model(class-name=org.tribuo.common.tree.TreeModel,dataset=DatasetView(class-name=org.tribuo.dataset.DatasetView,datasource=DatasetView(class-name=org.tribuo.dataset.DatasetView,datasource=Dataset(class-name=org.tribuo.MutableDataset,datasource=SplitDataSourceProvenance(className=org.tribuo.evaluation.TrainTestSplitter,innerSourceProvenance=CSV(class-name=org.tribuo.data.csv.CSVLoader,outputFactory=OutputFactory(class-name=org.tribuo.classification.LabelFactory),response-name=Species,separator=,,quote=",path=file:/C:/Users/Nikki%20singh/Downloads/Iris.csv,file-modified-time=2019-09-21T17:26:12+05:30,resource-hash=SHA-256[600AC44F23C2E6E0AE37DAAC8CEB2BABA4DF963EFA580EB31B3B576B28E34C55]),trainProportion=0.7,seed=1,size=150,isTrain=true),transformations=[],is-sequence=false,is-dense=false,num-examples=105,num-features=5,num-outputs=3,tribuo-version=4.0.1),transformations=[],is-sequence=false,is-dense=false,num-examples=95,num-features=5,num-outputs=3,tribuo-version=4.0.1,size=95,seed=-1,tag=TrainFold(seed=12345,10 of 10),weighted=false,sampled=false,indices=[]),transformations=[],is-sequence=false,is-dense=false,num-examples=95,num-features=5,num-outputs=3,tribuo-version=4.0.1,size=95,seed=120702809,tag=,weighted=false,sampled=true,indices=[]),trainer=Trainer(class-name=org.tribuo.classification.dtree.CARTClassificationTrainer,maxDepth=6,impurity=LabelImpurity(class-name=org.tribuo.classification.dtree.impurity.GiniIndex,host-short-name=LabelImpurity),seed=12345,fractionFeaturesInSplit=0.5,minChildWeight=5.0,train-invocation-count=455,is-sequence=false,host-short-name=Trainer),trained-at=2020-11-07T17:14:24+05:30,instance-values={},tribuo-version=4.0.1), Model(class-name=org.tribuo.common.tree.TreeModel,dataset=DatasetView(class-name=org.tribuo.dataset.DatasetView,datasource=DatasetView(class-name=org.tribuo.dataset.DatasetView,datasource=Dataset(class-name=org.tribuo.MutableDataset,datasource=SplitDataSourceProvenance(className=org.tribuo.evaluation.TrainTestSplitter,innerSourceProvenance=CSV(class-name=org.tribuo.data.csv.CSVLoader,outputFactory=OutputFactory(class-name=org.tribuo.classification.LabelFactory),response-name=Species,separator=,,quote=",path=file:/C:/Users/Nikki%20singh/Downloads/Iris.csv,file-modified-time=2019-09-21T17:26:12+05:30,resource-hash=SHA-256[600AC44F23C2E6E0AE37DAAC8CEB2BABA4DF963EFA580EB31B3B576B28E34C55]),trainProportion=0.7,seed=1,size=150,isTrain=true),transformations=[],is-sequence=false,is-dense=false,num-examples=105,num-features=5,num-outputs=3,tribuo-version=4.0.1),transformations=[],is-sequence=false,is-dense=false,num-examples=95,num-features=5,num-outputs=3,tribuo-version=4.0.1,size=95,seed=-1,tag=TrainFold(seed=12345,10 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