Model: Represents n-gram models

In wordpredictor: Develop Text Prediction Models Based on N-Grams

Description

The Model class represents n-gram models. An instance of the class is a single n-gram model. The attributes of this class are used to store n-gram model information. The class provides methods for loading and saving the model.

Details

The attributes of this class are used to store n-gram model information such as model name, model description, model file name, n-gram size, transition probabilities data, default probability for words, data cleaning and tokenization options, word list, model path, data directory path and performance stats. The model is saved to a single file as a R object.

A model file contains all the information required by the model. The model object is used as input by classes that perform operations on the model such as evaluation of model performance, text predictions and comparison of model performance.

Super class

wordpredictor::Base -> Model

Public fields

pstats

The performance stats for the model.

name

The model name.

desc

The model description.

Methods

Public methods

• Model$new()

• Model$load_model()

• Model$get_config()

• Model$get_size()

• Model$clone()

Inherited methods

---

Method new()

It initializes the current object. It is used to set the maximum n-gram number, sample size, input file name, data cleaner options, tokenization options, combined transition probabilities file name and verbose.

Usage

Model$new(
  name = NULL,
  desc = NULL,
  fn = NULL,
  df = NULL,
  n = 4,
  ssize = 0.3,
  dir = ".",
  dc_opts = list(),
  tg_opts = list(),
  ve = 0
)

Arguments

name

The model name.

desc

The model description.

fn

The model file name.

df

The name of the file used to generate the model.

n

The maximum n-gram number supported by the model.

ssize

The sample size as a proportion of the input file.

dir

The directory containing the model files.

dc_opts

The data cleaner options.

tg_opts

The token generator options.

ve

The level of detail in the information messages.

---

Method load_model()

It loads the model using the given information

Usage

Model$load_model()

---

Method get_config()

It returns the given configuration data

Usage

Model$get_config(cn)

Arguments

cn

The name of the required configuration.

Returns

The configuration value.

---

Method get_size()

It returns the size of the current object. The object size is calculated as the sum of sizes of the object attributes.

Usage

Model$get_size()

Returns

The size of the object in bytes.

---

Method clone()

The objects of this class are cloneable with this method.

Usage

Model$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

wordpredictor documentation built on Jan. 4, 2022, 5:07 p.m.