Machine Learning
This group contains functions for creating, training and applying Machine Learning models as well as functions for feature pre-processing. A brief overview of the possible applications of Machine Learning and further descriptions can be found under the software concept.
Functions for creating a model:
- F_VN_CreateBoostClassifier(Exp)
- F_VN_CreateKmppModel(Exp)
- F_VN_CreateKnnModel
- F_VN_CreateLbgModel(Exp)
- F_VN_CreateLdaTransform
- F_VN_CreateLdaTransformViaComponentNum
- F_VN_CreateNbcModel
- F_VN_CreatePcaTransform
- F_VN_CreatePcaTransformViaComponentNum
- F_VN_CreatePcaTransformViaVariance
- F_VN_CreateRTreesModel(Exp)
- F_VN_CreateStaModel(Exp)
- F_VN_CreateSvmModel(Exp)
- F_VN_CreateSvmSgdClassifier(Exp)
Functions for training a model:
- F_VN_TrainBatch
- F_VN_TrainBatchClusters
- F_VN_TrainSample
- F_VN_TrainSampleClass
- F_VN_TrainSampleCluster
- F_VN_TrainSampleScalar
- F_VN_TrainSampleVector
Functions for obtaining information on the cluster models:
Functions for applying models to a sample:
- F_VN_GetSampleCluster(Exp)
- F_VN_GetSampleNovelty
- F_VN_PredictSampleClass (Exp)
- F_VN_PredictSampleScalar(Exp)
- F_VN_PredictSampleVector(Exp)
Functions for applying models to a batch:
Functions for applying models for feature transformation / dimension reduction:
Functions for feature normalization:
Further Information
- F_VN_CreateBoostClassifier
- F_VN_CreateBoostClassifierExp
- F_VN_CreateBoostClassifierExp2
- F_VN_CreateKmppModel
- F_VN_CreateKmppModelExp
- F_VN_CreateKnnModel
- F_VN_CreateLbgModel
- F_VN_CreateLbgModelExp
- F_VN_CreateLdaTransform
- F_VN_CreateLdaTransformViaComponentNum
- F_VN_CreateNbcModel
- F_VN_CreatePcaTransform
- F_VN_CreatePcaTransformViaComponentNum
- F_VN_CreatePcaTransformViaVariance
- F_VN_CreateRTreesModel
- F_VN_CreateRTreesModelExp
- F_VN_CreateRTreesModelExp2
- F_VN_CreateStaModel
- F_VN_CreateStaModelExp
- F_VN_CreateStaModelExp2
- F_VN_CreateSvmModel
- F_VN_CreateSvmModelExp
- F_VN_CreateSvmModelExp2
- F_VN_CreateSvmSgdClassifier
- F_VN_CreateSvmSgdClassifierExp
- F_VN_FeatureScaling
- F_VN_FeatureScalingExp
- F_VN_FeatureTransform
- F_VN_GetBatchClusters
- F_VN_GetBatchClustersExp
- F_VN_GetBatchNovelties
- F_VN_GetClusterCenter
- F_VN_GetClusterNum
- F_VN_GetFeatureScales
- F_VN_GetSampleCluster
- F_VN_GetSampleClusterExp
- F_VN_GetSampleNovelty
- F_VN_InverseFeatureScaling
- F_VN_InverseFeatureScaling_REAL
- F_VN_InverseFeatureScalingExp
- F_VN_InverseFeatureScalingExp_REAL
- F_VN_InverseFeatureTransform
- F_VN_PredictBatch
- F_VN_PredictBatchExp
- F_VN_PredictSampleClass
- F_VN_PredictSampleClassExp
- F_VN_PredictSampleScalar
- F_VN_PredictSampleScalarExp
- F_VN_PredictSampleVector
- F_VN_PredictSampleVectorExp
- F_VN_TrainBatch
- F_VN_TrainBatchClusters
- F_VN_TrainSample
- F_VN_TrainSampleClass
- F_VN_TrainSampleCluster
- F_VN_TrainSampleScalar
- F_VN_TrainSampleVector