Data Formats

Classification and regression

  1. For classification and regression tasks data should be in tabular format in CSV files.
  2. File should have .csv extension (zipped files with .csv.zip extensions are also accepted).
  3. There should be a header in the input file with all column names.
  4. Missing values should be represented as empty or as 'NA' value.

Image classification

(This task is only available for selected users)

  1. For image classification input file should be a zip of two numpy arrays files: one file with X matrix and one with Y matrix. We are working on example of this.