3-classifier-trainer.mxs

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	<Creator>OpenViBE Designer</Creator>
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	<Outputs></Outputs>
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			<Outputs>
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				<Setting>
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				<Setting>
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				</Setting>
				<Setting>
					<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
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				<Setting>
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				<Setting>
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				<Setting>
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				<Input>
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				<Input>
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				<Output>
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		<Box>
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			<Name>Signal average</Name>
			<AlgorithmClassIdentifier>(0x00642c4d, 0x5df7e50a)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
					<Name>Input signal</Name>
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			<Outputs>
				<Output>
					<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
					<Name>Filtered signal</Name>
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			</Outputs>
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				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
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			<AlgorithmClassIdentifier>(0x00642c4d, 0x5df7e50a)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
					<Name>Input signal</Name>
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				<Output>
					<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
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			<Inputs>
				<Input>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Input stream 1</Name>
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			<Outputs>
				<Output>
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					<Name>Feature vector stream</Name>
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		<Box>
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			<Inputs>
				<Input>
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				<Input>
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				<Output>
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				<Output>
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				<Setting>
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					<DefaultValue></DefaultValue>
					<Value>${Player_ScenarioDirectory}/signals/trainingdata.ov</Value>
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				<Input>
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				<Output>
					<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
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				<Setting>
					<TypeIdentifier>(0x512a166f, 0x5c3ef83f)</TypeIdentifier>
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					<Value>1</Value>
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				<Setting>
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				<Input>
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				<Input>
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				<Setting>
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				<Setting>
					<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
					<Name>Filename to save configuration to</Name>
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					<Value>${Player_ScenarioDirectory}/motor-imagery-bci-config-classifier.cfg</Value>
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				<Setting>
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					<Name>Shrinkage coefficient (-1 == auto)</Name>
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			<Text>&lt;b&gt;&lt;u&gt;Classifier (LDA)  trainer&lt;/u&gt;&lt;/b&gt;

This scenario trains the Linear Discriminant Analysis classifier
on the training data from the last recorded session using the 
learned CSP filter from the previous step.</Text>
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