candle.feature_selection_utils.select_features_by_missing_values

candle.feature_selection_utils.select_features_by_missing_values#

candle.feature_selection_utils.select_features_by_missing_values(data, threshold=0.1)#

This function returns the indices of the features whose missing rates are smaller than the threshold.

Parameters:
  • data – numpy array or pandas data frame of numeric values, with a shape of [n_samples, n_features]

  • threshold (float) – range of [0, 1]. Features with a missing rate smaller than threshold will be selected. Default is 0.1

Returns:

1-D numpy array containing the indices of selected features