Model (apache-nutch 1.20 API)

java.lang.Object
- org.apache.nutch.scoring.similarity.cosine.Model

```
public class Model
extends Object
```
This class creates a model used to store Document vector representation of the corpus.

Field Summary

Fields
Modifier and Type Field Description

static ArrayList<DocVector> docVectors

static boolean isModelCreated

Constructor Summary

Constructors
Constructor Description

Model()

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method	Description
`static float`	`computeCosineSimilarity(DocVector docVector)`
`static DocVector`	`createDocVector(String content, int mingram, int maxgram)`	Used to create a DocVector from given String text.
`static void`	`createModel(Configuration conf)`
`static int[]`	`retrieveNgrams(Configuration conf)`	Retrieves mingram and maxgram from configuration

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - docVectors
```
public static ArrayList<DocVector> docVectors
```
  - isModelCreated
```
public static boolean isModelCreated
```
- Constructor Detail
  - Model
```
public Model()
```
- Method Detail
  - createModel
```
public static void createModel(Configuration conf)
                        throws IOException
```
    Throws:
    
    IOException
  - createDocVector
```
public static DocVector createDocVector(String content,
                                        int mingram,
                                        int maxgram)
```
    Used to create a DocVector from given String text. Used during the parse stage of the crawl cycle to create a DocVector of the currently parsed page from the parseText attribute value
    
    Parameters:
    
    content - The text to tokenize
    
    mingram - Value of mingram for tokenizing
    
    maxgram - Value of maxgram for tokenizing
    
    Returns:
    
    The created DocVector
  - computeCosineSimilarity
```
public static float computeCosineSimilarity(DocVector docVector)
```
  - retrieveNgrams
```
public static int[] retrieveNgrams(Configuration conf)
```
    Retrieves mingram and maxgram from configuration
    
    Parameters:
    
    conf - Configuration to retrieve mingram and maxgram
    
    Returns:
    
    ngram array as mingram at first index and maxgram at second index