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Create a separate script for each component of the pipeline: Data Loader

Status: Open.

#43 In PerkLab/Spectroscopy_TrackedTissueSensing;

· 16djm10 opened on Jun 7, 2023

Feature reduction 4: Feature selection techniques using scikitlearn

Status: Open.

#42 In PerkLab/Spectroscopy_TrackedTissueSensing;

· 16djm10 opened on May 30, 2023

Feature reduction 3: Resampling to 100 wavelengths

Status: Open.

#41 In PerkLab/Spectroscopy_TrackedTissueSensing;

· 16djm10 opened on May 30, 2023

Feature reduction 2: Testing PCA with 100 components

Status: Open.

#40 In PerkLab/Spectroscopy_TrackedTissueSensing;

· 16djm10 opened on May 30, 2023

Create an evaluation function for the feature reduction pipeline

Status: Open.

#39 In PerkLab/Spectroscopy_TrackedTissueSensing;

· 16djm10 opened on May 30, 2023

Testing LDA without any feature reduction as baseline

Status: Open.

#38 In PerkLab/Spectroscopy_TrackedTissueSensing;

· 16djm10 opened on May 30, 2023

Experiment 3: k-fold cross validation based on sampleID and sample number

Status: Open.

#37 In PerkLab/Spectroscopy_TrackedTissueSensing;

· 16djm10 opened on May 23, 2023

Experiment 2: Train on back, test on front'

Status: Open.

#36 In PerkLab/Spectroscopy_TrackedTissueSensing;

· 16djm10 opened on May 23, 2023

Experiment: Sweep through n_components for PCA and plot them. Determine optimal parameter

Status: Open.

#35 In PerkLab/Spectroscopy_TrackedTissueSensing;

· 16djm10 opened on May 23, 2023

Experiment 1: Implement LDA using random split - Histopathology separation + sample separation

Status: Open.

#34 In PerkLab/Spectroscopy_TrackedTissueSensing;

· 16djm10 opened on May 23, 2023

Create a PCA LDA pipeline

Status: Open.

#33 In PerkLab/Spectroscopy_TrackedTissueSensing;

· 16djm10 opened on May 19, 2023

Update time plot to use shapes to differentiate between different samples

Status: Open.

#32 In PerkLab/Spectroscopy_TrackedTissueSensing;

· 16djm10 opened on May 15, 2023