Serialized Form
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Package marytts.signalproc.display |
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Class marytts.signalproc.display.Cepstrogram extends marytts.signalproc.display.FunctionGraph implements Serializable |
dynamicRange
double dynamicRange
signal
double[] signal
samplingRate
int samplingRate
window
marytts.signalproc.window.Window window
windowShift
int windowShift
fftSize
int fftSize
cepstra
List<E> cepstra
cepstra_max
double cepstra_max
cepstra_min
double cepstra_min
deltaQ
double deltaQ
cepstra_indexmax
int cepstra_indexmax
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Class marytts.signalproc.display.CursorDisplayer extends JPanel implements Serializable |
cursorSources
List<E> cursorSources
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Class marytts.signalproc.display.EnergyGraph extends marytts.signalproc.display.FunctionGraph implements Serializable |
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Class marytts.signalproc.display.EnergyHistogram extends marytts.signalproc.display.Histogram implements Serializable |
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Class marytts.signalproc.display.F0Graph extends marytts.signalproc.display.FunctionGraph implements Serializable |
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Class marytts.signalproc.display.FunctionGraph extends JPanel implements Serializable |
paddingLeft
int paddingLeft
paddingRight
int paddingRight
paddingTop
int paddingTop
paddingBottom
int paddingBottom
x0
double x0
xStep
double xStep
dataseries
List<E> dataseries
ymin
double ymin
ymax
double ymax
showXAxis
boolean showXAxis
showYAxis
boolean showYAxis
graphImage
BufferedImage graphImage
backgroundColor
Color backgroundColor
axisColor
Color axisColor
graphColor
List<E> graphColor
histogramBorderColor
Color histogramBorderColor
graphStyle
List<E> graphStyle
dotStyle
List<E> dotStyle
dotSize
int dotSize
histogramWidth
int histogramWidth
autoYMinMax
boolean autoYMinMax
positionCursor
marytts.signalproc.display.FunctionGraph.DoublePoint positionCursor
rangeCursor
marytts.signalproc.display.FunctionGraph.DoublePoint rangeCursor
cursorListeners
List<E> cursorListeners
serialVersionUID: 1L
paddingLeft
int paddingLeft
paddingRight
int paddingRight
paddingTop
int paddingTop
paddingBottom
int paddingBottom
x0
double x0
xStep
double xStep
dataseries
List<E> dataseries
ymin
double ymin
ymax
double ymax
showXAxis
boolean showXAxis
showYAxis
boolean showYAxis
graphImage
BufferedImage graphImage
backgroundColor
Color backgroundColor
axisColor
Color axisColor
graphColor
List<E> graphColor
histogramBorderColor
Color histogramBorderColor
graphStyle
List<E> graphStyle
dotStyle
List<E> dotStyle
dotSize
int dotSize
histogramWidth
int histogramWidth
autoYMinMax
boolean autoYMinMax
positionCursor
FunctionGraphCustom.DoublePoint positionCursor
rangeCursor
FunctionGraphCustom.DoublePoint rangeCursor
cursorListeners
List<E> cursorListeners
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Class marytts.signalproc.display.Histogram extends marytts.signalproc.display.FunctionGraph implements Serializable |
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Class marytts.signalproc.display.LogSpectrum extends marytts.signalproc.display.SignalSpectrum implements Serializable |
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Class marytts.signalproc.display.MultiDisplay extends JFrame implements Serializable |
signalGraph
marytts.signalproc.display.SignalGraph signalGraph
spectrogram
marytts.signalproc.display.Spectrogram spectrogram
f0Graph
marytts.signalproc.display.F0Graph f0Graph
energyGraph
marytts.signalproc.display.EnergyGraph energyGraph
silenceMarker
marytts.signalproc.display.SilenceMarker silenceMarker
allGraphs
List<E> allGraphs
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Class marytts.signalproc.display.Phasogram extends marytts.signalproc.display.Spectrogram implements Serializable |
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Class marytts.signalproc.display.SignalGraph extends marytts.signalproc.display.FunctionGraph implements Serializable |
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Class marytts.signalproc.display.SignalSpectrum extends marytts.signalproc.display.FunctionGraph implements Serializable |
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Class marytts.signalproc.display.SilenceMarker extends marytts.signalproc.display.Histogram implements Serializable |
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Class marytts.signalproc.display.Spectrogram extends marytts.signalproc.display.FunctionGraph implements Serializable |
signal
double[] signal
samplingRate
int samplingRate
window
marytts.signalproc.window.Window window
windowShift
int windowShift
fftSize
int fftSize
graphsAtCursor
marytts.signalproc.display.Spectrogram.GraphAtCursor[] graphsAtCursor
spectra
List<E> spectra
spectra_max
double spectra_max
spectra_min
double spectra_min
deltaF
double deltaF
spectra_indexmax
int spectra_indexmax
serialVersionUID: 1L
signal
double[] signal
samplingRate
int samplingRate
window
marytts.signalproc.window.Window window
windowShift
int windowShift
fftSize
int fftSize
graphsAtCursor
SpectrogramCustom.GraphAtCursor[] graphsAtCursor
spectra
List<E> spectra
spectra_max
double spectra_max
spectra_min
double spectra_min
deltaF
double deltaF
spectra_indexmax
int spectra_indexmax
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Package org.gcube.contentmanagement.graphtools.abstracts |
serialVersionUID: 1L
big
boolean big
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Package org.gcube.contentmanagement.graphtools.examples.graphsTypes |
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Package org.gcube.contentmanagement.graphtools.plotting.demo |
serialVersionUID: -5376340422031599463L
readObject
private void readObject(ObjectInputStream stream)
throws IOException,
ClassNotFoundException
- Provides serialization support.
- Throws:
IOException - if there is an I/O error.
ClassNotFoundException - if there is a classpath problem.
writeObject
private void writeObject(ObjectOutputStream stream)
throws IOException
- Provides serialization support.
- Throws:
IOException - if there is an I/O error.
headPercent
double headPercent
- The head radius as a percentage of the available drawing area.
interiorGap
double interiorGap
- The space left around the outside of the plot as a percentage.
axisLabelGap
double axisLabelGap
- The gap between the labels and the axes as a %age of the radius.
dataset
org.jfree.data.category.CategoryDataset dataset
- The dataset.
maxValue
double maxValue
- The maximum value we are plotting against on each category axis
dataExtractOrder
org.jfree.util.TableOrder dataExtractOrder
- The data extract order (BY_ROW or BY_COLUMN). This denotes whether
the data series are stored in rows (in which case the category names are
derived from the column keys) or in columns (in which case the category
names are derived from the row keys).
startAngle
double startAngle
- The starting angle.
direction
org.jfree.util.Rotation direction
- The direction for drawing the radar axis & plots.
seriesPaintList
org.jfree.util.PaintList seriesPaintList
- The series paint list.
seriesOutlinePaintList
org.jfree.util.PaintList seriesOutlinePaintList
- The series outline paint list.
seriesOutlineStrokeList
org.jfree.util.StrokeList seriesOutlineStrokeList
- The series outline stroke list.
labelFont
Font labelFont
- The font used to display the category labels.
labelGenerator
org.jfree.chart.labels.CategoryItemLabelGenerator labelGenerator
- The label generator.
webFilled
boolean webFilled
- controls if the web polygons are filled or not
toolTipGenerator
org.jfree.chart.labels.CategoryToolTipGenerator toolTipGenerator
- A tooltip generator for the plot (
null permitted).
urlGenerator
org.jfree.chart.urls.CategoryURLGenerator urlGenerator
- A URL generator for the plot (
null permitted).
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Package org.gcube.contentmanagement.graphtools.plotting.graphs |
serialVersionUID: 1L
mean
double mean
variance
double variance
serialVersionUID: 1L
serialVersionUID: 1L
serialVersionUID: 1L
serialVersionUID: 1L
serialVersionUID: 1L
serialVersionUID: 1L
serialVersionUID: 1L
serialVersionUID: 1L
timeseriesformat
String timeseriesformat
serialVersionUID: 1L
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Package org.gcube.contentmanagement.lexicalmatcher.analysis.guesser.treeStructure.graph |
weight
double weight
o1
Object o1
o2
Object o2
m_jgAdapter
org.jgrapht.ext.JGraphModelAdapter<V,E> m_jgAdapter
newxposition
int newxposition
newyposition
int newyposition
g
CustomListenableDirectedWeightedGraph<V,E> g
nodesCounter
int nodesCounter
VertexNames
ArrayList<E> VertexNames
Edges
HashMap<K,V> Edges
graphDisplayer
GraphDisplayer graphDisplayer
m_jgAdapter
org.jgrapht.ext.JGraphModelAdapter<V,E> m_jgAdapter
relationName
String relationName
indexFrom
long indexFrom
indexTo
long indexTo
weight
BigInteger weight
categoryFrom
String categoryFrom
categoryTo
String categoryTo
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Package org.gcube.dataanalysis.ecoengine.clustering |
serialVersionUID: -7941793078404132616L
m_Instances
weka.core.Instances m_Instances
- training instances.
m_Model
weka.core.Instances m_Model
- model information, should increase readability.
m_ReplaceMissingFilter
weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingFilter
- replace missing values in training instances.
m_BinValue
double m_BinValue
- Distance value between true and false of binary attributes and
"same" and "different" of nominal attributes (default = 1.0).
m_Bic
double m_Bic
- BIC-Score of the current model.
m_Mle
double[] m_Mle
- Distortion.
m_MaxIterations
int m_MaxIterations
- maximum overall iterations.
m_MaxKMeans
int m_MaxKMeans
- maximum iterations to perform Kmeans part
if negative, iterations are not checked.
m_MaxKMeansForChildren
int m_MaxKMeansForChildren
- see above, but for kMeans of splitted clusters.
m_NumClusters
int m_NumClusters
- The actual number of clusters.
m_MinNumClusters
int m_MinNumClusters
- min number of clusters to generate.
m_MaxNumClusters
int m_MaxNumClusters
- max number of clusters to generate.
m_DistanceF
weka.core.DistanceFunction m_DistanceF
- the distance function used.
m_ClusterCenters
weka.core.Instances m_ClusterCenters
- cluster centers.
m_InputCenterFile
File m_InputCenterFile
- file name of the output file for the cluster centers.
m_DebugVectorsInput
Reader m_DebugVectorsInput
- input file for the random vectors --> USED FOR DEBUGGING.
m_DebugVectorsIndex
int m_DebugVectorsIndex
- the index for the current debug vector.
m_DebugVectors
weka.core.Instances m_DebugVectors
- all the debug vectors.
m_DebugVectorsFile
File m_DebugVectorsFile
- file name of the input file for the random vectors.
m_CenterInput
Reader m_CenterInput
- input file for the cluster centers.
m_OutputCenterFile
File m_OutputCenterFile
- file name of the output file for the cluster centers.
m_CenterOutput
PrintWriter m_CenterOutput
- output file for the cluster centers.
m_ClusterAssignments
int[] m_ClusterAssignments
- temporary variable holding cluster assignments while iterating.
m_CutOffFactor
double m_CutOffFactor
- cutoff factor - percentage of splits done in Improve-Structure part
only relevant, if all children lost.
m_KDTree
weka.core.neighboursearch.KDTree m_KDTree
- KDTrees class if KDTrees are used.
m_UseKDTree
boolean m_UseKDTree
- whether to use the KDTree (the KDTree is only initialized to be
configurable from the GUI).
m_IterationCount
int m_IterationCount
- counts iterations done in main loop.
m_KMeansStopped
int m_KMeansStopped
- counter to say how often kMeans was stopped by loop counter.
m_NumSplits
int m_NumSplits
- Number of splits prepared.
m_NumSplitsDone
int m_NumSplitsDone
- Number of splits accepted (including cutoff factor decisions).
m_NumSplitsStillDone
int m_NumSplitsStillDone
- Number of splits accepted just because of cutoff factor.
m_DebugLevel
int m_DebugLevel
- level of debug output, 0 is no output.
m_CurrDebugFlag
boolean m_CurrDebugFlag
- Flag: I'm debugging.
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Package org.gcube.dataanalysis.ecoengine.configuration |
serialVersionUID: 1L
configPath
String configPath
persistencePath
String persistencePath
tableSpace
String tableSpace
endpoints
List<E> endpoints
numberOfResources
Integer numberOfResources
model
String model
generator
String generator
gcubeScope
String gcubeScope
generalProperties
HashMap<K,V> generalProperties
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Package org.gcube.dataanalysis.ecoengine.evaluation.bioclimate |
serialVersionUID: 1L
max
double max
min
double min
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Package org.gcube.dataanalysis.ecoengine.models.cores.neuralnetworks |
serialVersionUID: 1L
griglia
Neuron[][] griglia
soglia
double soglia
maxcycle
double maxcycle
acceptanceThr
double acceptanceThr
maxfactor
double maxfactor
minfactor
double minfactor
status
float status
en
double en
serialVersionUID: 1L
attivfun
int attivfun
W
float[] W
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Package org.gcube.dataanalysis.ecoengine.models.cores.neuralnetworks.neurosolutions |
neurons
Neuron[] neurons
synapses
Synapse[] synapses
nolayers
int nolayers
layers
org.gcube.dataanalysis.ecoengine.models.cores.neuralnetworks.neurosolutions.NeuralNet.Layer[] layers
randomizer
Randomizer randomizer
topology
int[] topology
id
int id
threshold
double threshold
prevthreshold
double prevthreshold
layer
int layer
output
double output
axonfamily
char axonfamily
momentumrate
double momentumrate
axonfuncflatness
double axonfuncflatness
learningratecoefficient
double learningratecoefficient
neuronsout
Neuron[] neuronsout
neuronsin
Neuron[] neuronsin
synapsesout
Synapse[] synapsesout
synapsesin
Synapse[] synapsesin
error
double error
cumulthresholddiff
double cumulthresholddiff
random
Random random
weight
double weight
prevweight
double prevweight
cumulweightdiff
double cumulweightdiff
sourceunit
Neuron sourceunit
targetunit
Neuron targetunit
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Package org.gcube.dataanalysis.ecoengine.utils |
serialVersionUID: 1L
elements
ArrayList<E> elements
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Package org.gcube.portlets.user.timeseries.charts.support.assertions |
serialVersionUID: -2007903339251667541L
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Package org.gcube.portlets.user.timeseries.charts.support.exceptions |
serialVersionUID: -9108485633158199338L
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Package org.gcube.portlets.user.timeseries.charts.support.tablemodel |
serialVersionUID: 532149221570962514L
alias
String alias
rawname
String rawname
serialVersionUID: -4850971456321479627L
name
String name
alias
String alias
fields
List<E> fields
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Package org.gcube.portlets.user.timeseries.charts.support.types |
serialVersionUID: 930654337632116093L
data
List<E> data
minY
Number minY
maxY
Number maxY
serialVersionUID: -466243452417462863L
graphs
Map<K,V> graphs
serialVersionUID: 6164075295272357264L
label
String label
value
Number value
entries
List<E> entries
serialVersionUID: -6765421417425929840L
label
String label
value
Number value
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