|
| def | deep_getsizeof (o, ids) |
| | Method to calculate the size of an object o in bytes. More...
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| |
| def | calibrateModelRecall (thisModel) |
| | Logic to initialise calibration of model recall in order to recognize known from unknown instances. More...
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| |
| def | calibrateSingleModelRecall (thisModel) |
| | Perform calibration for single model implementations. More...
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| |
| def | calibrateMultipleModelRecall (thisModel) |
| | Perform calibration for multiple model implementations. More...
|
| |
| def | formatDataFunc (Ydata) |
| | Utility function to format data for testing. More...
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| |
| def | singleRecall (thisModel, testInstance, verbose, visualiseInfo=None, optimise=100) |
| | Method that performs classification for single model implementations. More...
|
| |
| def | multipleRecall_noCalib (thisModel, testInstance, verbose, visualiseInfo=None, optimise=True) |
| | Method that performs classification for uncalibrated multiple model implementations. More...
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| |
| def | multipleRecall (thisModel, testInstance, verbose, visualiseInfo=None, optimise=100) |
| | Method that performs classification for calibrated multiple model implementations. More...
|
| |
| def | wait_watching_stdout (ar, dt=1, truncate=1000) |
| | Monitoring function that logs to stdout the logging output of multiple threads. More...
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| |
| def | testSegment (thisModel, Ysample, verbose, visualiseInfo=None, optimise=100) |
| | Utility function to test a sample. More...
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| |
| def | segmentTesting (thisModel, Ysample, Lnum, verbose, label, serialMode=False, optimise=100, calibrate=False) |
| | Method to test multiple samples at a time. More...
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| |
| def | testSegments (thisModel, Ysample, Lnum, verbose, label, serialMode=False) |
| | Function to test segments and return a confusion matrix. More...
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| |
| def | calculateVarianceThreshold (segIntersections, mk, muk, vk, vuk) |
| | Method to decide on the approach to be used for setting variance thresholds and method of thresholding. More...
|
| |
| def | calculateData (textLabels, confMatrix, numItems=None) |
| | Calculate the normalised confusion matrix. More...
|
| |
| def | combineClassifications (thisModel, labels, likelihoods) |
| | Combine multiple classifications into a single classification. More...
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