- MachineLearning - Class in com.emphysic.myriad.core.examples
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Demonstrates building a sample data set, splitting into test and train subsets, training candidate models,
and saving the best model for later use.
- MachineLearning() - Constructor for class com.emphysic.myriad.core.examples.MachineLearning
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- main(String[]) - Static method in class com.emphysic.myriad.core.data.ops.FeatureScalingOperation
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- main(String[]) - Static method in class com.emphysic.myriad.core.data.ops.HOGOperation
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- main(String[]) - Static method in class com.emphysic.myriad.core.data.ops.math.OnlineStats
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- main(String[]) - Static method in class com.emphysic.myriad.core.data.ops.PyramidOperations
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- main(String[]) - Static method in class com.emphysic.myriad.core.data.roi.SGDROIFinder
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- main(String[]) - Static method in class com.emphysic.myriad.core.data.util.TextSniffer
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- main(String[]) - Static method in class com.emphysic.myriad.core.examples.Blur
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- main(String[]) - Static method in class com.emphysic.myriad.core.examples.ChainedOperations
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- main(String[]) - Static method in class com.emphysic.myriad.core.examples.EdgeDetection
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- main(String[]) - Static method in class com.emphysic.myriad.core.examples.GaussianPyramid
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- main(String[]) - Static method in class com.emphysic.myriad.core.examples.MachineLearning
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- main(String[]) - Static method in class com.emphysic.myriad.core.examples.PipelineDemo
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- main(String[]) - Static method in class com.emphysic.myriad.core.examples.SlidingWindow
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- main(String[]) - Static method in class com.emphysic.myriad.core.examples.Upscaling
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- main(String[]) - Static method in class com.emphysic.myriad.network.DataIngestorPool
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- max(double[]) - Static method in class com.emphysic.myriad.core.data.ops.math.Stats
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Returns the maximum of the data
- max(Dataset) - Static method in class com.emphysic.myriad.core.data.ops.math.Stats
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Returns the maximum of the data
- mean() - Method in class com.emphysic.myriad.core.data.ops.math.OnlineStats
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Returns the current mean of the numbers.
- mean(double[]) - Method in class com.emphysic.myriad.core.data.ops.math.OnlineStats
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Updates the statistics then returns the current mean
- mean(Dataset) - Method in class com.emphysic.myriad.core.data.ops.math.OnlineStats
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Updates the approximations then returns the current mean
- mean(double[]) - Static method in class com.emphysic.myriad.core.data.ops.math.Stats
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Calculates the mean of the input data
- mean(Dataset) - Static method in class com.emphysic.myriad.core.data.ops.math.Stats
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Calculates the mean value of the input
- metadata - Variable in class com.emphysic.myriad.core.data.roi.ROI
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A text tag for including descriptive metadata
- metadata - Variable in class com.emphysic.myriad.network.messages.ImmutableMessage
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Metadata
- min(double[]) - Static method in class com.emphysic.myriad.core.data.ops.math.Stats
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Returns the minimum of the data
- min(Dataset) - Static method in class com.emphysic.myriad.core.data.ops.math.Stats
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Returns the minimum of the data
- MLDataCompiler - Class in com.emphysic.myriad.core.ml
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MLDataCompiler - gather and prepare labelled data for cross validation
- MLDataCompiler(File, File, double, double) - Constructor for class com.emphysic.myriad.core.ml.MLDataCompiler
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Constructs a new data compiler.
- MLDataCompiler(File, File) - Constructor for class com.emphysic.myriad.core.ml.MLDataCompiler
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Constructs a new data compiler, using 1.0 as the positive label value and 0.0 as the negative samples folder.
- MLROIConfFinder - Class in com.emphysic.myriad.core.data.roi
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A Region of Interest (ROI) finder based on machine learning that provides both probabilities of its
classifications and the ability to define a confidence threshold.
- MLROIConfFinder() - Constructor for class com.emphysic.myriad.core.data.roi.MLROIConfFinder
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- MLROIFinder - Interface in com.emphysic.myriad.core.data.roi
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MLROIFinder - ROIFinder based on machine learning techniques.
- MonteCarloCV - Class in com.emphysic.myriad.core.ml
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MonteCarloCV - Monte Carlo cross-validation
- MonteCarloCV(double[][], int[], double) - Constructor for class com.emphysic.myriad.core.ml.MonteCarloCV
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Create a new Monte Carlo cross validator.
- MonteCarloCV(double[][], int[]) - Constructor for class com.emphysic.myriad.core.ml.MonteCarloCV
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- MonteCarloCV(CrossValidation.Data, double) - Constructor for class com.emphysic.myriad.core.ml.MonteCarloCV
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- MonteCarloCV(CrossValidation.Data) - Constructor for class com.emphysic.myriad.core.ml.MonteCarloCV
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