# List of commands

#### M. Benesty

#### 2019-04-14

As seen in the other tutorials, `execute()` function works in a similar way to the command line client.
To list the commands, you just need to enter the following function:

    library(fastrtext)

    print_help()

    The following arguments are mandatory:
      -input              training file path
      -output             output file path

    The following arguments are optional:
      -verbose            verbosity level [2]

    The following arguments for the dictionary are optional:
      -minCount           minimal number of word occurrences [1]
      -minCountLabel      minimal number of label occurrences [0]
      -wordNgrams         max length of word ngram [1]
      -bucket             number of buckets [2000000]
      -minn               min length of char ngram [0]
      -maxn               max length of char ngram [0]
      -t                  sampling threshold [0.0001]
      -label              labels prefix [__label__]

    The following arguments for training are optional:
      -lr                 learning rate [0.1]
      -lrUpdateRate       change the rate of updates for the learning rate [100]
      -dim                size of word vectors [100]
      -ws                 size of the context window [5]
      -epoch              number of epochs [5]
      -neg                number of negatives sampled [5]
      -loss               loss function {ns, hs, softmax} [softmax]
      -thread             number of threads [12]
      -pretrainedVectors  pretrained word vectors for supervised learning []
      -saveOutput         whether output params should be saved [0]

    The following arguments for quantization are optional:
      -cutoff             number of words and ngrams to retain [0]
      -retrain            finetune embeddings if a cutoff is applied [0]
      -qnorm              quantizing the norm separately [0]
      -qout               quantizing the classifier [0]
      -dsub               size of each sub-vector [2]