BCIgui/Masterarbeit/openvibe/extras-master/plugins/processing/riemannian/bci-examples/1.3-Riemann-Classic-SAMPLE-Testing.xml

<OpenViBE-Scenario>
	<FormatVersion>2</FormatVersion>
	<Creator>OpenViBE Designer</Creator>
	<CreatorVersion>3.0.0</CreatorVersion>
	<Settings>
		<Setting>
			<Identifier>(0x001f9ac9, 0x8d7740bc)</Identifier>
			<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
			<Name>Data</Name>
			<DefaultValue>${Path_Data}/scenarios/signals/bci-motor-imagery.ov</DefaultValue>
			<Value>${Path_Data}/scenarios/signals/bci-motor-imagery.ov</Value>
		</Setting>
		<Setting>
			<Identifier>(0x0011d622, 0x7d4c80a8)</Identifier>
			<TypeIdentifier>(0x79a9edeb, 0x245d83fc)</TypeIdentifier>
			<Name>Directory</Name>
			<DefaultValue>${Player_ScenarioDirectory}/</DefaultValue>
			<Value>${Player_ScenarioDirectory}</Value>
		</Setting>
		<Setting>
			<Identifier>(0x005d306a, 0x9f30dd54)</Identifier>
			<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
			<Name>Model Filename</Name>
			<DefaultValue>Classification-Riemann-Classic-Training-Model.xml</DefaultValue>
			<Value>Riemann-Classic-Training-Model.xml</Value>
		</Setting>
		<Setting>
			<Identifier>(0x00618c72, 0xe530a4c0)</Identifier>
			<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
			<Name>Mean</Name>
			<DefaultValue>Mean-Riemann.csv</DefaultValue>
			<Value>Mean-Riemann.csv</Value>
		</Setting>
		<Setting>
			<Identifier>(0x0064fe21, 0x6acf20ec)</Identifier>
			<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
			<Name>Stimulation Class 1</Name>
			<DefaultValue>OVTK_GDF_Left</DefaultValue>
			<Value>OVTK_GDF_Left</Value>
		</Setting>
		<Setting>
			<Identifier>(0x0017cd5f, 0xae3155d8)</Identifier>
			<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
			<Name>Stimulation Class 2</Name>
			<DefaultValue>OVTK_GDF_Right</DefaultValue>
			<Value>OVTK_GDF_Right</Value>
		</Setting>
		<Setting>
			<Identifier>(0x00006ead, 0x71386450)</Identifier>
			<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
			<Name>Log Level</Name>
			<DefaultValue>Information</DefaultValue>
			<Value>Information</Value>
		</Setting>
	</Settings>
	<Inputs></Inputs>
	<Outputs></Outputs>
	<Boxes>
		<Box>
			<Identifier>(0x00000d0c, 0x00002cdb)</Identifier>
			<Name>Confusion Matrix</Name>
			<AlgorithmClassIdentifier>(0x1ab625da, 0x3b2502ce)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Targets</Name>
				</Input>
				<Input>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Classification results</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Confusion Matrix</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Percentages</Name>
					<DefaultValue>true</DefaultValue>
					<Value>true</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Sums</Name>
					<DefaultValue>false</DefaultValue>
					<Value>false</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
					<Name>Class 1</Name>
					<DefaultValue>OVTK_StimulationId_Label_00</DefaultValue>
					<Value>$var{Stimulation Class 1}</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
					<Name>Class 2</Name>
					<DefaultValue>OVTK_StimulationId_Label_01</DefaultValue>
					<Value>$var{Stimulation Class 2}</Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>576</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>704</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0x05cf579a, 0x80d8b480)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x61d11811, 0x71e65362)</Identifier>
					<Value></Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc46b3d00, 0x3e0454e1)</Identifier>
					<Value>(0x00000000, 0x00de8e03)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc73e83ec, 0xf855c5bc)</Identifier>
					<Value>false</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>1</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
					<Value>4</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>2</Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x00001838, 0x00000242)</Identifier>
			<Name>Confusion Matrix</Name>
			<AlgorithmClassIdentifier>(0x54f0796d, 0x3ede2cc0)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Matrix</Name>
				</Input>
			</Inputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x3d3c7c7f, 0xef0e7129)</TypeIdentifier>
					<Name>Color gradient</Name>
					<DefaultValue>0:2,36,58; 50:100,100,100; 100:83,17,20</DefaultValue>
					<Value>0:2,36,58; 50:100,100,100; 100:83,17,20</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
					<Name>Steps</Name>
					<DefaultValue>100</DefaultValue>
					<Value>100</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Symetric min/max</Name>
					<DefaultValue>false</DefaultValue>
					<Value>false</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Real time min/max</Name>
					<DefaultValue>false</DefaultValue>
					<Value>false</Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>656</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>704</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0x4ff49bdb, 0x9dcf6788)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc46b3d00, 0x3e0454e1)</Identifier>
					<Value>(0x00000000, 0x006eaeb9)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc73e83ec, 0xf855c5bc)</Identifier>
					<Value>false</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
					<Value>4</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>1</Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x0000241d, 0x0000786c)</Identifier>
			<Name>LWF</Name>
			<AlgorithmClassIdentifier>(0x9a93af80, 0x6449c826)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
					<Name>Input Signal</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Output Covariance Matrix</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x5261636b, 0x45535449)</TypeIdentifier>
					<Name>Estimator</Name>
					<DefaultValue>Covariance</DefaultValue>
					<Value>Ledoit and Wolf</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Center Data</Name>
					<DefaultValue>true</DefaultValue>
					<Value>true</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0xa88b3667, 0x0871638c)</TypeIdentifier>
					<Name>Log Level</Name>
					<DefaultValue>Information</DefaultValue>
					<Value>$var{Log Level}</Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>384</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>848</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0xa227af77, 0xcd1af363)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x666fffff, 0x666fffff)</Identifier>
					<Value></Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>1</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
					<Value>3</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>1</Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x000044b9, 0x00003dac)</Identifier>
			<Name>Tangent Space</Name>
			<AlgorithmClassIdentifier>(0x7c265dba, 0x202c1f70)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Input Covariance Matrix</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x17341935, 0x152ff448)</TypeIdentifier>
					<Name>Output Feature Vector</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Tangent Space</Name>
					<DefaultValue>true</DefaultValue>
					<Value>true</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
					<Name>Filename to Reference Matrix (CSV, empty for Identity)</Name>
					<DefaultValue>${Player_ScenarioDirectory}/Mean.csv</DefaultValue>
					<Value>$var{Directory}/$var{Mean}</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0xa88b3667, 0x0871638c)</TypeIdentifier>
					<Name>Log Level</Name>
					<DefaultValue>Information</DefaultValue>
					<Value>$var{Log Level}</Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>448</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>848</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0xbfd23954, 0x40c20e2d)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x666fffff, 0x666fffff)</Identifier>
					<Value></Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>1</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
					<Value>3</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>1</Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x00006be7, 0x0000270b)</Identifier>
			<Name>Graz visualization</Name>
			<AlgorithmClassIdentifier>(0x00dd290d, 0x5f142820)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Stimulations</Name>
				</Input>
				<Input>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Amplitude</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Confusion Matrix</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Show instruction</Name>
					<DefaultValue>true</DefaultValue>
					<Value>true</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Show feedback</Name>
					<DefaultValue>false</DefaultValue>
					<Value>true</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Delay feedback</Name>
					<DefaultValue>false</DefaultValue>
					<Value>false</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Show accuracy</Name>
					<DefaultValue>false</DefaultValue>
					<Value>true</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
					<Name>Predictions to integrate</Name>
					<DefaultValue>5</DefaultValue>
					<Value>5</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Positive feedback only</Name>
					<DefaultValue>false</DefaultValue>
					<Value>false</Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>624</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>848</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0x602ceb3f, 0xd3bc74aa)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc73e83ec, 0xf855c5bc)</Identifier>
					<Value>false</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>1</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
					<Value>6</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>2</Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x00007474, 0x00002f73)</Identifier>
			<Name>Classifier processor</Name>
			<AlgorithmClassIdentifier>(0x5fe23d17, 0x95b0452c)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x17341935, 0x152ff448)</TypeIdentifier>
					<Name>Features</Name>
				</Input>
				<Input>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Commands</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Labels</Name>
				</Output>
				<Output>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Hyperplane distance</Name>
				</Output>
				<Output>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Probability values</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
					<Name>Filename to load configuration from</Name>
					<DefaultValue></DefaultValue>
					<Value>$var{Directory}/$var{Model Filename}</Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>512</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
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					<Value>(0xa6c8e548, 0x9e3e405b)</Value>
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				<Attribute>
					<Identifier>(0xc73e83ec, 0xf855c5bc)</Identifier>
					<Value>false</Value>
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				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>3</Value>
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				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
					<Value>1</Value>
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				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
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		</Box>
		<Box>
			<Identifier>(0x11a6038b, 0x7157c283)</Identifier>
			<Name>Generic stream reader</Name>
			<AlgorithmClassIdentifier>(0x6468099f, 0x0370095a)</AlgorithmClassIdentifier>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x403488e7, 0x565d70b6)</TypeIdentifier>
					<Name>Output stream 1</Name>
				</Output>
				<Output>
					<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
					<Name>Output stream 2</Name>
				</Output>
				<Output>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Output stream 3</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
					<Name>Filename</Name>
					<DefaultValue></DefaultValue>
					<Value>$var{Data}</Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x17ee7c08, 0x94c14893)</Identifier>
					<Value></Value>
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				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>80</Value>
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				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>848</Value>
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				<Attribute>
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					<Value></Value>
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				<Attribute>
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				<Attribute>
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		<Box>
			<Identifier>(0x1396fde6, 0x1c649749)</Identifier>
			<Name>Identity</Name>
			<AlgorithmClassIdentifier>(0x5dffe431, 0x35215c50)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
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			<Outputs>
				<Output>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Output stream 1</Name>
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			</Outputs>
			<Attributes>
				<Attribute>
					<Identifier>(0x17ee7c08, 0x94c14893)</Identifier>
					<Value></Value>
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				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>512</Value>
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			<Text>Compute Feature 
(Need to run 2 previous scenarios)</Text>
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				</Attribute>
			</Attributes>
		</Comment>
		<Comment>
			<Identifier>(0x000054d7, 0x00005ae3)</Identifier>
			<Text>Classifier processor
(Need to run previous scenario)</Text>
			<Attributes>
				<Attribute>
					<Identifier>(0x473d9a43, 0x97fc0a97)</Identifier>
					<Value>416</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x7234b86b, 0x2b8651a5)</Identifier>
					<Value>576</Value>
				</Attribute>
			</Attributes>
		</Comment>
		<Comment>
			<Identifier>(0x000054d7, 0x00005ae6)</Identifier>
			<Text>Compute Covariance</Text>
			<Attributes>
				<Attribute>
					<Identifier>(0x473d9a43, 0x97fc0a97)</Identifier>
					<Value>416</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x7234b86b, 0x2b8651a5)</Identifier>
					<Value>448</Value>
				</Attribute>
			</Attributes>
		</Comment>
	</Comments>
	<Metadata>
		<Entry>
			<Identifier>(0x11f491f3, 0x047d65a5)</Identifier>
			<Type>(0x3bcce5d2, 0x43f2d968)</Type>
			<Data>[{"boxIdentifier":"(0xffffffff, 0xffffffff)","childCount":1,"height":320,"identifier":"(0x000072ec, 0x00006065)","name":"","parentIdentifier":"(0xffffffff, 0xffffffff)","type":1,"width":695},{"boxIdentifier":"(0xffffffff, 0xffffffff)","childCount":1,"identifier":"(0x00006a3f, 0x00006097)","index":0,"name":"Default tab","parentIdentifier":"(0x000072ec, 0x00006065)","type":2},{"boxIdentifier":"(0xffffffff, 0xffffffff)","childCount":2,"dividerPosition":336,"identifier":"(0x00004386, 0x00006f22)","index":0,"maxDividerPosition":676,"name":"Horizontal split","parentIdentifier":"(0x00006a3f, 0x00006097)","type":5},{"boxIdentifier":"(0x00006be7, 0x0000270b)","childCount":0,"identifier":"(0x00007839, 0x00001ae3)","index":0,"parentIdentifier":"(0x00004386, 0x00006f22)","type":3},{"boxIdentifier":"(0x00001838, 0x00000242)","childCount":0,"identifier":"(0x00003898, 0x0000309e)","index":1,"parentIdentifier":"(0x00004386, 0x00006f22)","type":3}]</Data>
		</Entry>
	</Metadata>
	<Attributes>
		<Attribute>
			<Identifier>(0x079d1f09, 0x667c7871)</Identifier>
			<Value></Value>
		</Attribute>
		<Attribute>
			<Identifier>(0x4c90d4ad, 0x7a2554ec)</Identifier>
			<Value>320</Value>
		</Attribute>
		<Attribute>
			<Identifier>(0x60bc58ab, 0x7a1b4d83)</Identifier>
			<Value></Value>
		</Attribute>
		<Attribute>
			<Identifier>(0x790d75b8, 0x3bb90c33)</Identifier>
			<Value>Thibaut Monseigne</Value>
		</Attribute>
		<Attribute>
			<Identifier>(0x7a3a1558, 0xf12c63c2)</Identifier>
			<Value></Value>
		</Attribute>
		<Attribute>
			<Identifier>(0x7b814cca, 0x271df6dd)</Identifier>
			<Value>475</Value>
		</Attribute>
		<Attribute>
			<Identifier>(0x84009d7c, 0x3c4e763b)</Identifier>
			<Value></Value>
		</Attribute>
		<Attribute>
			<Identifier>(0x8c1fc55b, 0x7b433dc2)</Identifier>
			<Value>1.0</Value>
		</Attribute>
		<Attribute>
			<Identifier>(0x9f5c4075, 0x4a0d3666)</Identifier>
			<Value>Classification Riemann Classic Testing Example</Value>
		</Attribute>
		<Attribute>
			<Identifier>(0xf36a1567, 0xd13c53da)</Identifier>
			<Value></Value>
		</Attribute>
		<Attribute>
			<Identifier>(0xf6b2e3fa, 0x7bd43926)</Identifier>
			<Value>bci-examples</Value>
		</Attribute>
		<Attribute>
			<Identifier>(0xf8034a49, 0x8b3f37cc)</Identifier>
			<Value>Inria</Value>
		</Attribute>
	</Attributes>
</OpenViBE-Scenario>