token_classifier.py File Reference

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Classes
class	token_classifier.Model

Namespaces
namespace	token_classifier

Functions
int	token_classifier.feature_index (int size, str gram)
dict[int, float]	token_classifier.features (str command)
Model	token_classifier.train (list[dict[str, str]] rows, int epochs=DEFAULT_EPOCHS, int seed=DEFAULT_SEED, float learning_rate=DEFAULT_LEARNING_RATE, float l2=DEFAULT_L2, int batch=DEFAULT_BATCH)
list[dict[str, object]]	token_classifier.evaluate (Model model, list[dict[str, str]] cases)
float	token_classifier._accuracy (Model model, list[dict[str, str]] rows)
argparse.ArgumentParser	token_classifier._build_parser ()
int	token_classifier.main (list[str]|None argv=None)

Variables
tuple	token_classifier.LABELS = ("allow", "confirm", "deny")
tuple	token_classifier.NGRAM_SIZES = (1, 2, 3, 4)
int	token_classifier.HASH_SPACE = 1 << 16
str	token_classifier.START_SENTINEL = "\x02"
str	token_classifier.END_SENTINEL = "\x03"
int	token_classifier.DEFAULT_EPOCHS = 50
int	token_classifier.DEFAULT_SEED = 7
float	token_classifier.DEFAULT_LEARNING_RATE = 40.0
int	token_classifier.DEFAULT_L2 = 1e-6
int	token_classifier.DEFAULT_BATCH = 32