Packages |
org.knime.base.collection.list.create |
Implementation of the collection create node. |
org.knime.base.collection.list.split |
Implementation of the collection split node. |
org.knime.base.data.append.column |
|
org.knime.base.data.append.row |
|
org.knime.base.data.bitvector |
This package contains classes responsible for the representation and conversion
of bit vectors. |
org.knime.base.data.filter.column |
Contains column filter for DataTable objects which
includes or excludes a certain number of columns from a given data table. |
org.knime.base.data.filter.row |
Contains row filter for DataTable objects which uses
the FilterRowGenerator interface to dynamically ask for included or
excluded rows during itertation. |
org.knime.base.data.join |
Implementation of a DataTable that joins to underlying tables based on their
row key (like a Database join). |
org.knime.base.data.neural |
This package contains all the necessary classes to build your own
neural network. |
org.knime.base.data.neural.methods |
In this package: different implementations of neural networks. |
org.knime.base.data.nominal |
Utility package for retrieving nominal values from a DataTable. |
org.knime.base.data.normalize |
This package contains the utility classes for normalization of DataRows. |
org.knime.base.data.replace |
|
org.knime.base.data.sort |
|
org.knime.base.data.statistics |
This package holds the StatisticsTable. |
org.knime.base.data.util |
|
org.knime.base.node.flowvariable.appendvariabletotable |
|
org.knime.base.node.flowvariable.extractvariables |
|
org.knime.base.node.flowvariable.injectvariables |
|
org.knime.base.node.flowvariable.tablerowtovariable |
|
org.knime.base.node.flowvariable.variableloophead |
|
org.knime.base.node.flowvariable.variabletotablerow |
|
org.knime.base.node.io.arffreader |
Contains the implementation of a node which reads ARFF files. |
org.knime.base.node.io.arffwriter |
Contains the implementation of a node which writes the content of a data table
into an ARFF file. |
org.knime.base.node.io.csvwriter |
Node implementation that writes a DataTable to a file in
CSV (comma separated value) format (or with any other selectable separator). |
org.knime.base.node.io.database |
Contains nodes to access data via a database connection. |
org.knime.base.node.io.def |
(Obsolete) Node that produces predefined DataTables. |
org.knime.base.node.io.filereader |
Contains a node implementation that reads in data from an ASCII file. |
org.knime.base.node.io.filetokenizer |
|
org.knime.base.node.io.pmml.read |
|
org.knime.base.node.io.pmml.write |
|
org.knime.base.node.io.portobject |
Contains node implementations for a prediction model reader and writer. |
org.knime.base.node.io.predictor |
Contains node implementations for a prediction model reader and writer. |
org.knime.base.node.io.table.read |
Node that reads data from a file as written by the Write table node. |
org.knime.base.node.io.table.write |
Node that writes a datatable to a file. |
org.knime.base.node.meta.feature.backwardelim |
|
org.knime.base.node.meta.looper |
The looper package contains all classes for building for loops. |
org.knime.base.node.meta.looper.condition |
Contains two nodes with which a loop can be built. |
org.knime.base.node.meta.xvalidation |
The
xvalidation
package contains all classes for a cross validation flow. |
org.knime.base.node.mine.bayes.naivebayes.datamodel |
This package implements the naive bayes algorithm for numerical and nominal
attributes. |
org.knime.base.node.mine.bayes.naivebayes.learner |
This package contains the classes of the learner node. |
org.knime.base.node.mine.bayes.naivebayes.port |
|
org.knime.base.node.mine.bayes.naivebayes.predictor |
This package contains the classes of the predictor node. |
org.knime.base.node.mine.bfn |
Contains abstract and util classes to train and perform prediction to rule
models, also called BasisFunction models. |
org.knime.base.node.mine.bfn.fuzzy |
Contains the learner and predictor to train fuzzy rules and apply them
to unknown data. |
org.knime.base.node.mine.bfn.fuzzy.membership |
Membership function package which are used during training of BasisFunction
models. |
org.knime.base.node.mine.bfn.fuzzy.norm |
A set of fuzzy norms. |
org.knime.base.node.mine.bfn.fuzzy.shrink |
A number of shrink heuristics. |
org.knime.base.node.mine.bfn.radial |
Contains the PNN learner and predictor. |
org.knime.base.node.mine.cluster |
|
org.knime.base.node.mine.cluster.assign |
This package contains the classes for the Cluster Assigner Node. |
org.knime.base.node.mine.cluster.fuzzycmeans |
The fuzzycmeans package contains all classes for the Fuzzy c-means node. |
org.knime.base.node.mine.cluster.hierarchical |
Contains the implementation of a node performing hierarchical clustering. |
org.knime.base.node.mine.cluster.hierarchical.distfunctions |
Contains distance function implementations for the Hierarchical Clustering node. |
org.knime.base.node.mine.cluster.kmeans |
This package contains the classes needed from the KMeans Node. |
org.knime.base.node.mine.decisiontree2 |
|
org.knime.base.node.mine.decisiontree2.learner |
|
org.knime.base.node.mine.decisiontree2.model |
This package contains code for a decision tree model. |
org.knime.base.node.mine.decisiontree2.predictor |
This package contains code for a decision tree model and predictor. |
org.knime.base.node.mine.knn |
|
org.knime.base.node.mine.mds |
A node that applies multi dimensional scaling (MDS) on high dimensional
data. |
org.knime.base.node.mine.mds.distances |
The package contains distance classes, computing various kinds of
distances between DataRows and DataPoints ect. |
org.knime.base.node.mine.mds.mdsprojection |
A node that applies multi dimensional scaling (MDS) projection on high
dimensional data. |
org.knime.base.node.mine.neural.mlp |
This package contains the classes for the MultiLayerPerceptron Predictor
node. |
org.knime.base.node.mine.neural.rprop |
This package contains all classes for the RProp Node. |
org.knime.base.node.mine.pca |
This package contains all classes for the PCA (principal component analysis) Node. |
org.knime.base.node.mine.regression |
Contains nodes and utility classes for linear and polynomial regression. |
org.knime.base.node.mine.regression.linear |
Contains classes for linear regression. |
org.knime.base.node.mine.regression.linear.learn |
Node implementation performing linear regression. |
org.knime.base.node.mine.regression.linear.predict |
Node implementation performing linear regression prediction. |
org.knime.base.node.mine.regression.linear.view |
Customized scatter plot view that also shows the regression line. |
org.knime.base.node.mine.regression.polynomial.learner |
The polyreg's predictor package contains just the two classes that make up
the predictor node: the model and its factory. |
org.knime.base.node.mine.regression.polynomial.predictor |
The polyreg's learner package contains all necessary classes for the Polynomial
Regression Learner node. |
org.knime.base.node.mine.regression.predict |
Node implementation performing regression prediction. |
org.knime.base.node.mine.scorer.accuracy |
Similar to the default scorer. |
org.knime.base.node.mine.scorer.entrop |
Node that performs an entropy calculation and compares two clustering results. |
org.knime.base.node.mine.smote |
Node that oversample patterns in an input table. |
org.knime.base.node.mine.sota |
Contains the Sota node, which can be used for clustering hirarchically
numerical and fuzzy data and visualize the resulting cluster tree. |
org.knime.base.node.mine.sota.distances |
Contains classes to compute distances for SOTA. |
org.knime.base.node.mine.sota.logic |
Contains the logic classes of SOTA. |
org.knime.base.node.mine.sota.predictor |
Contains the Sotapredictor node, which can be used for class prediction of
incoming data. |
org.knime.base.node.mine.sota.view |
Contains the view classes of the Sota node. |
org.knime.base.node.mine.sota.view.interaction |
Contains interaction interfaces and classes, like hilite and selection manager. |
org.knime.base.node.mine.subgroupminer |
This package contains everything necessary for normal subgroup mining. |
org.knime.base.node.mine.subgroupminer.apriori |
This package contains two algorithm implementations for the SubgroupMinerNode. |
org.knime.base.node.mine.subgroupminer.freqitemset |
This package contains the necessary data structures for the subgroup mining. |
org.knime.base.node.mine.svm |
The scm package contains all classes necessary for Support Vector Machine
learning (package learner) and prediction (predict). |
org.knime.base.node.mine.svm.kernel |
This subpackage contains all kernels that can be used by the SVM node. |
org.knime.base.node.mine.svm.learner |
This subpackage contains all classes for the SVM Learner Node. |
org.knime.base.node.mine.svm.predictor |
This subpackage contains all classes for the SVM Predictor Node. |
org.knime.base.node.mine.svm.util |
This subpackage contains some utility classes for the SVM node. |
org.knime.base.node.parallel |
This subpackage contains some classes that can be used to implemet nodes that process their data in parallel. |
org.knime.base.node.parallel.appender |
|
org.knime.base.node.parallel.builder |
|
org.knime.base.node.preproc.append.row |
|
org.knime.base.node.preproc.binner |
Contains a node to bin/group a number of numeric columns into a string column
by predefined intervals. |
org.knime.base.node.preproc.caseconvert |
Node to convert alphanumeric characters to lowercase or uppercase. |
org.knime.base.node.preproc.cellsplit |
Contains the implementation of a node that splits (and replaces) a values in a column
into multiple new ones. |
org.knime.base.node.preproc.cellsplitbypos |
|
org.knime.base.node.preproc.colcombine |
Node to combine the content of a set of columns into a single column (to be appended). |
org.knime.base.node.preproc.colcompare |
Node to combine the content of a set of columns into a single column (to be appended). |
org.knime.base.node.preproc.colconvert |
Node to convert String columns to Double columns or the other way around. |
org.knime.base.node.preproc.colconvert.numbertostring |
Node to convert DoubleValue columns to StringValue columns. |
org.knime.base.node.preproc.colconvert.stringtonumber |
Node to convert StringValue columns to NumberValue columns. |
org.knime.base.node.preproc.colsort |
This package contains all classes for the Column Resorter node. |
org.knime.base.node.preproc.columnTrans |
This package contains the classes of the Many2One and One2Many column
transformation nodes. |
org.knime.base.node.preproc.correlation.pmcc |
|
org.knime.base.node.preproc.discretization.caim2 |
Contains two nodes for class supervised binning and applying such a learned
binning model to new data. |
org.knime.base.node.preproc.discretization.caim2.modelapply |
Contains the classes implementing a node that applies a discretization (binning) model
to new data. |
org.knime.base.node.preproc.discretization.caim2.modelcreator |
Contains the classes implementing a node that learns a class supervised
discretization (binning) model. |
org.knime.base.node.preproc.domain |
Contains a node to determine the DataTableSpec of the input data. |
org.knime.base.node.preproc.double2int |
|
org.knime.base.node.preproc.filter.column |
Contains the filter column node which can be used the extract
certain columns from the input data table. |
org.knime.base.node.preproc.filter.columnref |
Contains a Reference Column Filter node that allows columns to be included
or excluded from the first table while the second one is used as reference
table. |
org.knime.base.node.preproc.filter.hilite |
Node to seperate hilited and not hilited rows of given DataTable. |
org.knime.base.node.preproc.filter.hilite.collector |
Contains the HiLite Collector node with can be used to apply annotations
to a set of hilit rows. |
org.knime.base.node.preproc.filter.nominal |
This package implements a possible value row filter. |
org.knime.base.node.preproc.filter.row |
Contains a node filtering out rows from an input data table,
including only those rows into the output/result table that match a certain
criteria. |
org.knime.base.node.preproc.filter.row.rowfilter |
Contains all filters currently implemented for the row filter node. |
org.knime.base.node.preproc.filter.rowref |
Contains a Reference Row Filter node that allows rows to be included
or excluded from the first table while the second one is used as reference
table. |
org.knime.base.node.preproc.groupby |
Contains a node to perform a group by operation on an input table. |
org.knime.base.node.preproc.groupby.aggregation |
Contains helper classes that perform the aggregation. |
org.knime.base.node.preproc.groupby.dialogutil |
Contains helper classes that are used in the configuration dialog of the node. |
org.knime.base.node.preproc.joiner |
This package contains classes for a node that joins two data tables. |
org.knime.base.node.preproc.lowvarfilter |
Node implementation that allows the user to filter out numeric columns, which
have a low or no variance. |
org.knime.base.node.preproc.missingval |
Implemenation of the node that treats missing values. |
org.knime.base.node.preproc.normalize |
This package contains all classes for the Normalizer Node. |
org.knime.base.node.preproc.partition |
Node that partitions the data into train- and test set. |
org.knime.base.node.preproc.pivot |
Contains a node to perform a pivoting on one column against another
group column. |
org.knime.base.node.preproc.regexsplit |
Node that splits an input string (column) into multiple groups according
to a regular expression (realized by java.util.regex.Pattern). |
org.knime.base.node.preproc.rename |
Node that allows to rename column names or change the type. |
org.knime.base.node.preproc.rowkey |
This package contains all classes of the RowKey node which provides the
following function:
Replacing of the current rowkey with the values of a column
Creating a column with the row key values
|
org.knime.base.node.preproc.rowsplit |
Node splits a data table according to a numeric filter criterion. |
org.knime.base.node.preproc.sample |
Node that samples rows from an input table. |
org.knime.base.node.preproc.setoperator |
Contains a node to perform a set operation on two columns from two input tables. |
org.knime.base.node.preproc.shuffle |
Implementation of the Fisher Yates shuffle, that guarantees that
all n! possible outcomes are possible and equally likely. |
org.knime.base.node.preproc.sorter |
Contains the Sorter Node which can be used to sort columns from the
input data table. |
org.knime.base.node.preproc.split |
Node that splits an input table into two output table. |
org.knime.base.node.preproc.stringreplacer |
This package contains a node that can be used to replace strings
in a column based on wildcard matches. |
org.knime.base.node.preproc.stringreplacer.dict |
Node that replaces the content of a selected column by dictionary entries. |
org.knime.base.node.preproc.transpose |
Contains a node to transpose a table by swaping rows and columns. |
org.knime.base.node.preproc.unpivot |
|
org.knime.base.node.preproc.valcount |
|
org.knime.base.node.rules |
|
org.knime.base.node.util |
|
org.knime.base.node.util.cache |
Contains node that allows caching of data for fast access. |
org.knime.base.node.util.exttool |
Provides functionality for nodes that want to launch external programs.
The CommandExecution
can be used to run the external program. |
org.knime.base.node.util.sampledata |
|
org.knime.base.node.viz.aggregation |
This package contains all data models and some utility classes which are
used in the different aggregation visualization implementations like
pie chart and histogram. |
org.knime.base.node.viz.aggregation.util |
This package contains classes that are used in all aggregating visualisations. |
org.knime.base.node.viz.condbox |
Contains all classes that realize a conditional box plot. |
org.knime.base.node.viz.enrichment |
The enrichment plotter node allows you to plot enrichment curves. |
org.knime.base.node.viz.histogram |
Contains classes to create an histogram view. |
org.knime.base.node.viz.histogram.datamodel |
This package contains all data and visualization models which are used in
the different histogram implementations. |
org.knime.base.node.viz.histogram.impl |
This package contains the different plotter implementations of the histogram
and the root class AbstractHistogramPlotter and AbstractHistogramProperties
that need to be implemented by the concrete implementation. |
org.knime.base.node.viz.histogram.impl.fixed |
This is the memory saving implementation of the abstract histogram plotter. |
org.knime.base.node.viz.histogram.impl.interactive |
This is the interactive implementation of the abstract histogram plotter. |
org.knime.base.node.viz.histogram.node |
Contains classes for KNIME nodes which uses the classes of the histogram
package to display a histogram view. |
org.knime.base.node.viz.histogram.util |
Contains utility classes which performe binning or which are used
in dialogs to select the aggregation columns. |
org.knime.base.node.viz.liftchart |
The liftchart package contains all classes for building a lift chart node. |
org.knime.base.node.viz.pie.datamodel |
This package contains the pie chart data model classes. |
org.knime.base.node.viz.pie.datamodel.fixed |
This package contains the fixed pie chart data model classes. |
org.knime.base.node.viz.pie.datamodel.interactive |
This package contains the interactive pie chart data model classes. |
org.knime.base.node.viz.pie.impl |
This package contains the plotter framework implementation classes. |
org.knime.base.node.viz.pie.impl.fixed |
This package contains the fixed pie chart plotter classes. |
org.knime.base.node.viz.pie.impl.interactive |
This package contains the interactive pie chart plotter classes. |
org.knime.base.node.viz.pie.node |
This package contains the KNIME node classes for the fixed and
interactive pie chart. |
org.knime.base.node.viz.pie.node.fixed |
This package contains the KNIME node classes for the fixed pie chart. |
org.knime.base.node.viz.pie.node.interactive |
This package contains the KNIME node classes for the interactive pie chart. |
org.knime.base.node.viz.pie.util |
This package contains some utility classes like the ColumnFilter and the
GeometryUtil class. |
org.knime.base.node.viz.plotter |
Contains the basic viewing framework for KNIME. |
org.knime.base.node.viz.plotter.basic |
The idea behind the BasicPlotter is to provide a small fraction of the
functionality known from "R" or "GnuPlot", if you have some basic elements,
such as lines, ellipses, rectangles, you want to add to your view you can use
the BasicPlotter . |
org.knime.base.node.viz.plotter.box |
Contains all classes that realize a box plot. |
org.knime.base.node.viz.plotter.columns |
This package contains convenient classes when two or n columns
should be displayed. |
org.knime.base.node.viz.plotter.dendrogram |
Contains all classes necessary to visualize a hierachical clustering result
represented by a DendrogramNode . |
org.knime.base.node.viz.plotter.line |
A line plot plots the numeric columns of the input table as lines. |
org.knime.base.node.viz.plotter.node |
This package contains a default node implementation which can be used if a
simple plotter is implemented, which displays data from one inport and also
wants to display only a restricted number of rows. |
org.knime.base.node.viz.plotter.parcoord |
A ParallelCoordinatePlot is a representation of multi-dimensional information
or data, in which multiple dimensions are allocated to parallel axes on-screen. |
org.knime.base.node.viz.plotter.props |
The properties for the plotters are organized into small functional units which
can be added as tabs to the properties panel which is added to the plotter. |
org.knime.base.node.viz.plotter.scatter |
A scatter plot maps to columns (dimensions) of data to 2-dimensional space, which
results that each row (data instance) can be represented as one 2-dimensional point. |
org.knime.base.node.viz.plotter.scattermatrix |
A scatter matrix plot is a matrix of scatter plots, where each selected column
is plotted against each selected column. |
org.knime.base.node.viz.property.color |
Contains the Color Manager and Color Appender node to set colors for a nominal
or bounded (numeric) column. |
org.knime.base.node.viz.property.shape |
Contains the Shape Manager and Shape Appender node to set shapes for a nominal
column. |
org.knime.base.node.viz.property.size |
Contains the Size Manager and Size Appender node to set sizes for a bounded
(numeric) column. |
org.knime.base.node.viz.roc |
The ROC node allows you to plot ROC curves. |
org.knime.base.node.viz.statistics |
Contains the Statistics Node which can be used to compute statistics based on
the input data table. |
org.knime.base.node.viz.table |
Node implementation of the interactive table view. |
org.knime.base.util |
|
org.knime.base.util.coordinate |
All classes of this package are not part of the offical API and might
undergo changes until the next release. |
org.knime.base.util.kdtree |
|
org.knime.base.util.math |
|
org.knime.core.data |
Contains the interface definitions of the DataCell
and DataTable and related
classes, used to store and access the actual data. |
org.knime.core.data.collection |
Definitions for KNIME collection types and default implementations. |
org.knime.core.data.container |
Implementation of a DataContainer . |
org.knime.core.data.date |
Definition of date and time in KNIME. |
org.knime.core.data.def |
Provides default implementations for all (except
DataTable ) abstract
classes in the data package.
The default implementations of classes derived from
DataCell just store their
values in members of the appropriate java type (like
DoubleCell has a private
member of Java type double, etc.).
The default implementation of DataTable
is deprecated and shouldn't be used. |
org.knime.core.data.property |
Contains utility classes for Colors, Shapes, and Sizes which can be assigned
to a DataTable via corresponding
ColorHandler,
ShapeHandler, and
SizeHandler all derived from
PropertyHandler. |
org.knime.core.data.renderer |
Interfaces and default implementations for renderer of DataValue
objects. |
org.knime.core.data.util |
This package contains the utility class ObjectToDataCellConverter, which is
as of KNIME 1.2.0 deprecated. |
org.knime.core.data.vector.bitvector |
|
org.knime.core.data.vector.bytevector |
|
org.knime.core.eclipseUtil |
Contains only utility classes needed to make Eclipse work together with
the KNIME framework. |
org.knime.core.internal |
Contains class for internal use. |
org.knime.core.node |
Contains all classes needed to implement a new node in the workflow. |
org.knime.core.node.config |
Contains a utility class Config to store
a general state (i.e. |
org.knime.core.node.defaultnodesettings |
Contains default dialog components, which can be used to quickly
create a simple dialog. |
org.knime.core.node.exec |
|
org.knime.core.node.interrupt |
This package contains the necessary classes for an interruptible framework. |
org.knime.core.node.port |
|
org.knime.core.node.port.database |
|
org.knime.core.node.port.flowvariable |
|
org.knime.core.node.port.pmml |
|
org.knime.core.node.port.viewproperty |
|
org.knime.core.node.property.hilite |
Contains hilite classes to maintain hilite events between different views. |
org.knime.core.node.tableview |
Node implementation of a table view. |
org.knime.core.node.util |
Contains a set of utility classes that may be used in different (so far
visual) contexts. |
org.knime.core.node.workflow |
Contains wrapper classes which control the communication between Node and GUI
Workflow. |
org.knime.core.node.workflow.execresult |
|
org.knime.core.util |
This package contains some small utility classes that may be useful in all kinds
of nodes. |
org.knime.core.util.tokenizer |
|
org.knime.core.xml |
Holds a class which can be used to read certain properties from an
xml file. |
Copyright, 2003 - 2010. All rights reserved.
University of Konstanz, Germany.
Chair for Bioinformatics and Information Mining, Prof. Dr. Michael R. Berthold.
You may not modify, publish, transmit, transfer or sell, reproduce, create derivative works from, distribute, perform, display,
or in any way exploit any of the content, in whole or in part, except as otherwise expressly permitted in writing by the
copyright owner or as specified in the license file distributed with this product.