/// <summary>
/// Initializes a new instance of the <see cref="BlockDistance"/> class, using the tokenizer specified.
/// </summary>
/// <param name="tokenizerToUse">The tokenizer to use for parsing the input.</param>
public BlockDistance(ITokenizer tokenizerToUse)
{
this.estimatedTimingConstant = 6.4457140979357064E-05;
this.tokenizer = tokenizerToUse;
this.tokenUtility = new TokenizerUtility <string>();
}
/// <summary>
/// Initializes a new instance of the <see cref="CosineSimilarity"/> class, using the tokenizer specified.
/// </summary>
/// <param name="tokenizerToUse">The tokenizer to use for parsing the input.</param>
public CosineSimilarity(ITokenizer tokenizerToUse)
{
this.estimatedTimingConstant = 3.8337140040312079E-07;
this.tokenizer = tokenizerToUse;
this.tokenUtility = new TokenizerUtility <string>();
}
/// <summary>
/// Initializes a new instance of the <see cref="MatchingCoefficient"/> class, using the tokenizer specified.
/// </summary>
/// <param name="tokenizerToUse">The tokenizer to use.</param>
public MatchingCoefficient(ITokenizer tokenizerToUse)
{
this.estimatedTimingConstant = 0.00019999999494757503;
this.tokenizer = tokenizerToUse;
this.tokenUtility = new TokenizerUtility <string>();
}
/// <summary>
/// Initializes a new instance of the <see cref="OverlapCoefficient"/> class, using the tokenizer specified.
/// </summary>
/// <param name="tokenizerToUse">The tokenizer to use.</param>
public OverlapCoefficient(ITokenizer tokenizerToUse)
{
this.estimatedTimingConstant = 0.00014000000373926014;
this.tokenizer = tokenizerToUse;
this.tokenUtility = new TokenizerUtility <string>();
}
/// <summary>
/// Initializes a new instance of the <see cref="DiceSimilarity"/> class, using the tokenizer specified.
/// </summary>
/// <param name="tokenizerToUse">The tokenizer to use for parsing the input.</param>
public DiceSimilarity(ITokenizer tokenizerToUse)
{
this.estimatedTimingConstant = 3.4457139008736704E-07;
this.tokenizer = tokenizerToUse;
this.tokenUtility = new TokenizerUtility <string>();
}
/// <summary>
/// Initializes a new instance of the <see cref="JaccardSimilarity"/> class.
/// </summary>
/// <param name="tokenizerToUse">The tokenizer to use for parsing the input.</param>
public JaccardSimilarity(ITokenizer tokenizerToUse)
{
this.estimatedTimingConstant = 0.00014000000373926014;
this.tokenizer = tokenizerToUse;
this.tokenUtility = new TokenizerUtility <string>();
}
/// <summary>
/// Initializes a new instance of the <see cref="EuclideanDistance"/> class, using the tokenizer specified.
/// </summary>
/// <param name="tokenizerToUse">The tokenizer to use for parsing the input.</param>
public EuclideanDistance(ITokenizer tokenizerToUse)
{
this.estimatedTimingConstant = 7.4457137088757008E-05;
this.tokenizer = tokenizerToUse;
this.tokenUtility = new TokenizerUtility <string>();
}
/// <summary>
/// Initializes a new instance of the <see cref="QGramsDistance"/> class.
/// </summary>
/// <param name="tokenizerToUse">The tokenizer to use for parsing the input.</param>
public QGramsDistance(ITokenizer tokenizerToUse)
{
this.estimatedTimingConstant = 0.0001340000017080456;
this.tokenizer = tokenizerToUse;
this.tokenUtility = new TokenizerUtility <string>();
}
