Search Java Classes and Packages
#Weka.filters Classes and Interfaces - 85 results found.
| Name | Description | Type | Package | Framework |
| AbstractTimeSeries | An abstract instance filter that assumes instances form time-series data and performs some merging of attribute values in the current instance with | Class | weka.filters.unsupervised.attribute | Weka |
| Add | An instance filter that adds a new attribute to the dataset. | Class | weka.filters.unsupervised.attribute | Weka |
| AddClassification | A filter for adding the classification, the class distribution and an error flag to a dataset with a classifier. | Class | weka.filters.supervised.attribute | Weka |
| AddCluster | A filter that adds a new nominal attribute representing the cluster assigned to each instance by the specified | Class | weka.filters.unsupervised.attribute | Weka |
| AddExpression | An instance filter that creates a new attribute by applying a mathematical expression to existing attributes. | Class | weka.filters.unsupervised.attribute | Weka |
| AddID | An instance filter that adds an ID attribute to the dataset. | Class | weka.filters.unsupervised.attribute | Weka |
| AddNoise | An instance filter that changes a percentage of a given attributes values. | Class | weka.filters.unsupervised.attribute | Weka |
| AddUserFields | A filter that adds new attributes with user specified type and constant value. | Class | weka.filters.unsupervised.attribute | Weka |
| AddUserFields .AttributeSpec | Inner class encapsulating a new user-specified attribute to create. | Class | weka.filters.unsupervised.attribute | Weka |
| AddUserFieldsBeanInfo | Bean info class for the AddUserFields filter. | Class | weka.filters.unsupervised.attribute | Weka |
| AddValues | Adds the labels from the given list to an attribute if they are missing. | Class | weka.filters.unsupervised.attribute | Weka |
| AllFilter | A simple instance filter that passes all instances directly through. | Class | weka.filters | Weka |
| AttributeSelection | A supervised attribute filter that can be used to select attributes. | Class | weka.filters.supervised.attribute | Weka |
| CartesianProduct | A filter for performing the Cartesian product of a set of nominal attributes. | Class | weka.filters.unsupervised.attribute | Weka |
| Center | Centers all numeric attributes in the given dataset to have zero mean (apart from the class attribute, if set). | Class | weka.filters.unsupervised.attribute | Weka |
| ChangeDateFormat | Changes the date format used by a date attribute. | Class | weka.filters.unsupervised.attribute | Weka |
| CheckSource | A simple class for checking the source generated from Filters implementing the weka. | Class | weka.filters | Weka |
| ClassAssigner | Filter that can set and unset the class index. | Class | weka.filters.unsupervised.attribute | Weka |
| ClassBalancer | Reweights the instances in the data so that each class has the same total weight. | Class | weka.filters.supervised.instance | Weka |
| ClassConditionalProbabilities | Converts the values of nominal and/or numeric attributes into class conditional probabilities. | Class | weka.filters.supervised.attribute | Weka |
| ClassOrder | Changes the order of the classes so that the class values are no longer of in the order specified in the header. | Class | weka.filters.supervised.attribute | Weka |
| ClusterMembership | A filter that uses a density-based clusterer to generate cluster membership values; filtered instances are composed of these | Class | weka.filters.unsupervised.attribute | Weka |
| Copy | An instance filter that copies a range of attributes in the dataset. | Class | weka.filters.unsupervised.attribute | Weka |
| Discretize | An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes. | Class | weka.filters.supervised.attribute | Weka |
| Discretize | An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes. | Class | weka.filters.unsupervised.attribute | Weka |
| MultiFilter | Applies several filters successively. | Class | weka.filters | Weka |
| NominalToBinary | Converts all nominal attributes into binary numeric attributes. | Class | weka.filters.supervised.attribute | Weka |
| NominalToBinary | Converts all nominal attributes into binary numeric attributes. | Class | weka.filters.unsupervised.attribute | Weka |
| NominalToString | Converts a nominal attribute (i. | Class | weka.filters.unsupervised.attribute | Weka |
| NonSparseToSparse | An instance filter that converts all incoming instances into sparse format. | Class | weka.filters.unsupervised.instance | Weka |
| Normalize | Normalizes all numeric values in the given dataset (apart from the class attribute, if set). | Class | weka.filters.unsupervised.attribute | Weka |
| NumericCleaner | A filter that 'cleanses' the numeric data from values that are too small, too big or very close to a certain value (e. | Class | weka.filters.unsupervised.attribute | Weka |
| NumericToBinary | Converts all numeric attributes into binary attributes (apart from the class attribute, if set): if the value of the | Class | weka.filters.unsupervised.attribute | Weka |
| NumericToNominal | A filter for turning numeric attributes into nominal ones. | Class | weka.filters.unsupervised.attribute | Weka |
| NumericTransform | Transforms numeric attributes using a given transformation method. | Class | weka.filters.unsupervised.attribute | Weka |
| Obfuscate | A simple instance filter that renames the relation, all attribute names and all nominal (and string) attribute values. | Class | weka.filters.unsupervised.attribute | Weka |
| PartitionedMultiFilter | A filter that applies filters on subsets of attributes and assembles the output into a new dataset. | Class | weka.filters.unsupervised.attribute | Weka |
| PartitionMembership | * A filter that uses a PartitionGenerator to generate partition membership values; filtered instances are composed of these values plus the class attribute (if set in the input data) and rendered as sparse instances. | Class | weka.filters.supervised.attribute | Weka |
| PKIDiscretize | Discretizes numeric attributes using equal frequency binning, where the number of bins is equal to the square root of | Class | weka.filters.unsupervised.attribute | Weka |
| PotentialClassIgnorer | This filter should be extended by other unsupervised attribute filters to allow processing of the class attribute if that's required. | Class | weka.filters.unsupervised.attribute | Weka |
| PrincipalComponents | Performs a principal components analysis and transformation of the data. | Class | weka.filters.unsupervised.attribute | Weka |
| Randomize | Randomly shuffles the order of instances passed through it. | Class | weka.filters.unsupervised.instance | Weka |
| RandomProjection | Reduces the dimensionality of the data by projecting it onto a lower dimensional subspace using a random matrix with columns of unit length (i. | Class | weka.filters.unsupervised.attribute | Weka |
| RandomSubset | Chooses a random subset of attributes, either an absolute number or a percentage. | Class | weka.filters.unsupervised.attribute | Weka |
| Remove | An filter that removes a range of attributes from the dataset. | Class | weka.filters.unsupervised.attribute | Weka |
| RemoveByName | Removes attributes based on a regular expression matched against their names. | Class | weka.filters.unsupervised.attribute | Weka |
| RemoveDuplicates | Removes all duplicate instances from the first batch of data it receives. | Class | weka.filters.unsupervised.instance | Weka |
| RemoveFolds | This filter takes a dataset and outputs a specified fold for cross validation. | Class | weka.filters.unsupervised.instance | Weka |
| RemoveFrequentValues | Determines which values (frequent or infrequent ones) of an (nominal) attribute are retained and filters the instances | Class | weka.filters.unsupervised.instance | Weka |
| RemoveMisclassified | A filter that removes instances which are incorrectly classified. | Class | weka.filters.unsupervised.instance | Weka |
| RemovePercentage | A filter that removes a given percentage of a Valid options are: | Class | weka.filters.unsupervised.instance | Weka |
| RemoveRange | A filter that removes a given range of instances of Valid options are: | Class | weka.filters.unsupervised.instance | Weka |
| RemoveType | Removes attributes of a given type. | Class | weka.filters.unsupervised.attribute | Weka |
| RemoveUseless | This filter removes attributes that do not vary at all or that vary too much. | Class | weka.filters.unsupervised.attribute | Weka |
| RemoveWithValues | Filters instances according to the value of an Valid options are: | Class | weka.filters.unsupervised.instance | Weka |
| RenameAttribute | This filter is used for renaming attribute names. | Class | weka.filters.unsupervised.attribute | Weka |
| RenameNominalValues | Renames the values of nominal attributes. | Class | weka.filters.unsupervised.attribute | Weka |
| Reorder | A filter that generates output with a new order of the attributes. | Class | weka.filters.unsupervised.attribute | Weka |
| ReplaceMissingValues | Replaces all missing values for nominal and numeric attributes in a dataset with the modes and means from the training data. | Class | weka.filters.unsupervised.attribute | Weka |
| ReplaceMissingWithUserConstant | Replaces all missing values for nominal, string, numeric and date attributes in the dataset with user-supplied constant | Class | weka.filters.unsupervised.attribute | Weka |
| ReplaceWithMissingValue | A filter that can be used to introduce missing values in a dataset. | Class | weka.filters.unsupervised.attribute | Weka |
| Resample | Produces a random subsample of a dataset using either sampling with replacement or without replacement. | Class | weka.filters.supervised.instance | Weka |
| Resample | Produces a random subsample of a dataset using either sampling with replacement or without replacement. | Class | weka.filters.unsupervised.instance | Weka |
| ReservoirSample | Produces a random subsample of a dataset using the reservoir sampling Algorithm "R" by Vitter. | Class | weka.filters.unsupervised.instance | Weka |
| SimpleBatchFilter | This filter is a superclass for simple batch filters. | Class | weka.filters | Weka |
| SimpleFilter | This filter contains common behavior of the SimpleBatchFilter and the SimpleStreamFilter. | Class | weka.filters | Weka |
| SimpleStreamFilter | This filter is a superclass for simple stream filters. | Class | weka.filters | Weka |
| SortLabels | A simple filter for sorting the labels of nominal Valid options are: | Class | weka.filters.unsupervised.attribute | Weka |
| SortLabels .CaseInsensitiveComparator | Represents a case-insensitive comparator for two strings. | Class | weka.filters.unsupervised.attribute | Weka |
| SortLabels .CaseSensitiveComparator | Represents a case-sensitive comparator for two strings. | Class | weka.filters.unsupervised.attribute | Weka |
| Sourcable | Interface for filters that can be converted to Java source. | Interface | weka.filters | Weka |
| SparseToNonSparse | An instance filter that converts all incoming sparse instances into non-sparse format. | Class | weka.filters.unsupervised.instance | Weka |
| SpreadSubsample | Produces a random subsample of a dataset. | Class | weka.filters.supervised.instance | Weka |
| Standardize | Standardizes all numeric attributes in the given dataset to have zero mean and unit variance (apart from the class attribute, if set). | Class | weka.filters.unsupervised.attribute | Weka |
| StratifiedRemoveFolds | This filter takes a dataset and outputs a specified fold for cross validation. | Class | weka.filters.supervised.instance | Weka |
| StreamableFilter | Interface | weka.filters | Weka | |
| StringToNominal | Converts a range of string attributes (unspecified number of values) to nominal (set number of values). | Class | weka.filters.unsupervised.attribute | Weka |
| StringToWordVector | Converts String attributes into a set of attributes representing word occurrence (depending on the tokenizer) information from the text contained in the strings. | Class | weka.filters.unsupervised.attribute | Weka |
| SubsetByExpression | Filters instances according to a user-specified expression. | Class | weka.filters.unsupervised.instance | Weka |
| SupervisedFilter | Interface | weka.filters | Weka | |
| SwapValues | Swaps two values of a nominal attribute. | Class | weka.filters.unsupervised.attribute | Weka |
| TimeSeriesDelta | An instance filter that assumes instances form time-series data and replaces attribute values in the current instance with the difference between the current value and the equivalent attribute attribute value of some previous (or future) instance. | Class | weka.filters.unsupervised.attribute | Weka |
| TimeSeriesTranslate | An instance filter that assumes instances form time-series data and replaces attribute values in the current instance with the equivalent attribute values of some previous (or future) instance. | Class | weka.filters.unsupervised.attribute | Weka |
| Transpose | Transposes the data: instances become attributes and attributes become instances. | Class | weka.filters.unsupervised.attribute | Weka |
| UnsupervisedFilter | Interface | weka.filters | Weka | |