3.2.2 Random Sampling

Random Sampling Widget

Fig. 3.6 Random Sampling Widget

Create predefined subsamples.

3.2.2.1 Usage

  1. Pick a vector dataset to subsample. You can either type the absolute path to the file or
    select it from your PC (1).

  2. Define the number of subsamples to create (2).

  3. (Optional) Define a seed to initialize the random function (3).

  4. (Optional) Decide to keep the corresponding test part (6).

  5. (Optional) Adjust the size of the training part either by typing the number (4) or adjusting
    the slider (5)

  6. (Optional) Adjust the output location either by typing the output path or with a dialog (7).

  7. (Optional) Name the training dataset(s) (8).

  8. (Optional) Name the test dataset(s) (8) (Only if you save them).

  9. Create the subsample(s) (10).

By defining a seed to initialize random (4) you can recreate the subsamples on a later date.

You can only name the test dataset if keep the corresponding part (6) and if the size of the training part (4) is < 100 %.

3.2.2.2 Sampling process

LSAT only considers the total number of features when sampling the inventory into a training and test dataset.

3.2.2.3 Input and Output

Input

Vector dataset

Output

Vector training dataset(s)

Naming scheme: /*Name (8)*_*Nr. of subsample*.*ext*

(Optional) Test vector dataset(s)

Naming scheme: /*Name (9)*_*Nr. of subsample*.*ext*