Sampling

If you have to use supervised learning-based matchers or evaluate matchers, you need to create labeled data. To create labeled data, first you need to sample of candidate set pairs and then label them.

In py_stringmatching, you can use sample_table to get a sample. The command does uniform random sampling without replacement. An example of using sample_table is shown below:

>>> S = em.sample_table(C, 100)

The command will first create a copy of the input table, sample the specified number of tuple pairs from the copy, update the metadata and return the sampled table.

For more details, please look into the API reference of sample_table()