ESP
0.1
The Example-based Sensor Predictions (ESP) system tries to bring machine learning to the maker community.
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generate() :
Palette
get() :
matplotlibcpp::detail::_interpreter
getAllData() :
TrainingDataManager
getBufferData() :
GRT::ThresholdDetection
getCalibrateProcesses() :
Calibrator
getCC() :
GRT::MFCC
getData() :
CalibrateProcess
,
InteractivePlot
,
InteractiveTimeSeriesPlot
,
Plotter
getDataAddress() :
Tuneable
getDataBuffer() :
GRT::Filter
getDescription() :
CalibrateProcess
getFilteredData() :
GRT::Filter
getFilters() :
GRT::MFCC
getFilterSize() :
GRT::Filter
getLabelName() :
TrainingDataManager
getLabels() :
InputStream
getMessage() :
CalibrateResult
,
TrainingSampleCheckerResult
getName() :
CalibrateProcess
getNumFilters() :
GRT::TriFilterBanks
getNumInputDimensions() :
AudioFileStream
,
AudioStream
,
BaseSerialInputStream
,
FirmataStream
,
InputStream
,
OscInputStream
,
SerialStream
,
TcpInputStream
getNumLabels() :
TrainingDataManager
getNumOutputDimensions() :
InputStream
getNumSampleForLabel() :
TrainingDataManager
getOptions() :
GRT::MFCC
getRanges() :
Plotter
getResult() :
CalibrateResult
,
TrainingSampleCheckerResult
getResultString() :
CalibrateResult
getSample() :
TrainingDataManager
getSampleClassLikelihoods() :
TrainingDataManager
getSampleName() :
TrainingDataManager
getSampleScore() :
TrainingDataManager
getSelection() :
InteractivePlot
getSerialDeviceList() :
BaseSerialInputStream
getTitle() :
Plotter
getTotalNumSamples() :
TrainingDataManager
getType() :
Tuneable
getUIAddress() :
Tuneable
gotMessage() :
ofApp
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