SSML Models Implementation#38

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stompsjo wants to merge 35 commits intocnerg:mainfrom

Commits on Oct 31, 2022

adding hyperopt functions
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add supervised logistic regression model function
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adding cotraining model function
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adding code for Label Prop model function
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adding shadow fully connected NN model function
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adding shadow eaat cnn function model
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abstracting MINOS to Spectra
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removing duplicate device in eaat-cnn
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revamping design of ssl models, starting with logreg
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adding save function to logreg class and renaming hyperopt.py

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commenting logistic regression class and methods

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scripts/utils.py pep8 changes

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implementing LabelProp with hyperopt functionality

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implementing co-training with hyperopt functionality

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implementing Shadow fully-connected NN with hyperopt

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implementing Shadow EAAT CNN with hyperopt

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adding functions for pca analysis

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rearranging model files

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adding unit test for LogReg

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updating dependencies

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correcting pytorch package name

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adding unit test for CoTraining

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adding unit test for LabelProp

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adding unit test for ShadowNN

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including utils scripts in unit tests coverage

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error: training NNs takes too long for a unit test, let alone hyperopt

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error: these cnns are so bad that they can't even make predictions
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correcting cnn parameter calculation to include max_pool1d
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adding tests for more coverage
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adding a test for util plots
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adding seed test to co-training
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removing old commented line

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changing fresh_start methods of models to use class train method instead

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adding an EarlyStopper class for managing that functionality
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adding cross validation implementation
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