- pad(int) - Static method in class com.emphysic.myriad.core.data.ops.PowerOfTwoOperation
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Returns the next number >= the input which is a power of two
i.e.
- partial_fit(List<? extends Dataset>) - Method in class com.emphysic.myriad.core.data.ops.FeatureScalingOperation
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Incremental training - keeps approximations of feature means and standard deviations.
- PassiveAggressiveROIFinder - Class in com.emphysic.myriad.core.data.roi
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PassiveAggressiveROIFinder - machine learning ROI detector that uses the Passive-Aggressive algorithm outlined in
"Online Passive-Aggressive Algorithms" K.
- PassiveAggressiveROIFinder(double) - Constructor for class com.emphysic.myriad.core.data.roi.PassiveAggressiveROIFinder
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Creates a new PassiveAggressiveROIFinder with the specified learning rate.
- PassiveAggressiveROIFinder() - Constructor for class com.emphysic.myriad.core.data.roi.PassiveAggressiveROIFinder
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Creates a new PassiveAggressiveROIFinder with a learning rate of 0.1.
- PipelineDemo - Class in com.emphysic.myriad.core.examples
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Demonstrates a single-process ROI processing pipeline.
- PipelineDemo() - Constructor for class com.emphysic.myriad.core.examples.PipelineDemo
-
- positiveClass() - Method in class com.emphysic.myriad.core.data.roi.AdaptiveSGDROIFinder
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Returns the numeric value of the positive class of a two-category model.
- positiveClass() - Method in interface com.emphysic.myriad.core.data.roi.MLROIFinder
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The numeric label assigned to positive samples i.e.
- positiveClass() - Method in class com.emphysic.myriad.core.data.roi.PassiveAggressiveROIFinder
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Returns the numeric value of the positive class of a two-category model.
- positiveClass() - Method in class com.emphysic.myriad.core.data.roi.SGDROIFinder
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Returns the value of the positive label.
- positiveClass(int) - Method in class com.emphysic.myriad.core.data.roi.SVMROIFinder
-
Sets the positive (i.e.
- positiveClass() - Method in class com.emphysic.myriad.core.data.roi.SVMROIFinder
-
- positiveClass() - Method in class com.emphysic.myriad.core.experimental.roi.GradMachineROIFinder
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The numeric label assigned to positive samples i.e.
- PowerOfTwoOperation - Class in com.emphysic.myriad.core.data.ops
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PowerOfTwoOperation - resizes an input as required such that its width and height are both powers of 2.
- PowerOfTwoOperation() - Constructor for class com.emphysic.myriad.core.data.ops.PowerOfTwoOperation
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- predict(double[]) - Method in class com.emphysic.myriad.core.data.roi.MLROIConfFinder
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Predicts the label for a sample.
- predict(Dataset) - Method in class com.emphysic.myriad.core.data.roi.MLROIConfFinder
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Predicts the label for a sample.
- predict(double[]) - Method in interface com.emphysic.myriad.core.data.roi.MLROIFinder
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Returns the predicted class/value of the sample
- predict(Dataset) - Method in interface com.emphysic.myriad.core.data.roi.MLROIFinder
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Returns the predicted class/value of the sample
- predict(double[]) - Method in class com.emphysic.myriad.core.data.roi.SGDROIFinder
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Returns the prediction of the specified sample.
- predict(Dataset) - Method in class com.emphysic.myriad.core.data.roi.SGDROIFinder
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Returns the prediction of the specified sample.
- predict(double[]) - Method in class com.emphysic.myriad.core.data.roi.SVMROIFinder
-
- predict(Dataset) - Method in class com.emphysic.myriad.core.data.roi.SVMROIFinder
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- predict_proba(double[]) - Method in interface com.emphysic.myriad.core.data.roi.ROIProbability
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Returns the probability of the sample being in each of the classes recognized by the current model.
- predict_proba(Dataset) - Method in interface com.emphysic.myriad.core.data.roi.ROIProbability
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Returns the probability of the sample being in each of the classes recognized by the current model.
- prettyPrint(PrintStream) - Method in class com.emphysic.myriad.core.data.io.Dataset
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Convenience method for printing this Dataset to a PrintStream
- prettyPrint() - Method in class com.emphysic.myriad.core.data.io.Dataset
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Convenience method for printing this Dataset to standard output
- prewitt(Dataset) - Static method in class com.emphysic.myriad.core.examples.EdgeDetection
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Performs Prewitt edge detection on a dataset https://en.wikipedia.org/wiki/Prewitt_operator
- PrewittOperation - Class in com.emphysic.myriad.core.data.ops
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PrewittOperation - edge detection operation based on an approximate discrete differentiation.
- PrewittOperation() - Constructor for class com.emphysic.myriad.core.data.ops.PrewittOperation
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Creates a new PrewittOperation
- PyramidActor - Class in com.emphysic.myriad.network
-
PyramidActor - Akka actor that performs Gaussian Pyramid operations on Datasets.
- PyramidActor(GaussianPyramidOperation) - Constructor for class com.emphysic.myriad.network.PyramidActor
-
Creates a new PyramidActor with the specified pyramid operation
- PyramidActor() - Constructor for class com.emphysic.myriad.network.PyramidActor
-
Creates a new PyramidActor with the default Gaussian Pyramid Operation
- PyramidActorPool - Class in com.emphysic.myriad.network
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PyramidActorPool - linked worker pool for performing Gaussian Pyramid operations on Datasets.
- PyramidActorPool(int, GaussianPyramidOperation) - Constructor for class com.emphysic.myriad.network.PyramidActorPool
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Creates a new pool.
- PyramidActorPool(int) - Constructor for class com.emphysic.myriad.network.PyramidActorPool
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Creates a new pool with the default Gaussian Pyramid operation
- PyramidActorPool() - Constructor for class com.emphysic.myriad.network.PyramidActorPool
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Creates a new pool
- PyramidOperations - Class in com.emphysic.myriad.core.data.ops
-
PyramidOperations - general purpose pyramid operations.
- PyramidOperations() - Constructor for class com.emphysic.myriad.core.data.ops.PyramidOperations
-