search

neurodata / SPORF

This is the implementation of Sparse Projection Oblique Randomer Forest
https://neurodata.io/forests/
97 stars 46 forks source link

Modify Projection Distribution for Time Series Data #344

Open rflperry opened 4 years ago

rflperry commented 4 years ago
  1. Remove continuity requirement in one dimension to allow for data such as multivariate time series
  2. Obtain results on EEG kaggle dataset (https://www.kaggle.com/c/grasp-and-lift-eeg-detection/data)
    • Mean squared error plot for the task, varying n up to 90% of the data (10% for test)
bdpedigo commented 4 years ago

can you specify what the deliverable for bullet point 2 will be? What kinds of figures will you make?