protected PerceptronModelWriter(AbstractModel model) {
var data = model.GetDataStructures();
numOutcomes = model.GetNumOutcomes();
PARAMS = (Context[])data[0];
OUTCOME_LABELS = (string[])data[2];
var map = (IndexHashTable<string>)data[1];
PRED_LABELS = new string[map.Size];
map.ToArray(PRED_LABELS);
}
/// <summary>
/// Initializes a new instance of the <see cref="NaiveBayesModelWriter"/> class.
/// </summary>
/// <param name="model">The model.</param>
protected NaiveBayesModelWriter(AbstractModel model)
{
var data = model.GetDataStructures();
numOutcomes = model.GetNumOutcomes();
Parameters = (Context[])data[0];
var map = (IndexHashTable <string>)data[1];
OutcomeLabels = (string[])data[2];
PredLabels = map.ToArray();
}
protected PerceptronModelWriter(AbstractModel model)
{
var data = model.GetDataStructures();
numOutcomes = model.GetNumOutcomes();
PARAMS = (Context[])data[0];
OUTCOME_LABELS = (string[])data[2];
var map = (IndexHashTable <string>)data[1];
PRED_LABELS = new string[map.Size];
map.ToArray(PRED_LABELS);
}
/// <para>
/// <c>index 0</c>: <see cref="T:Context[]"/> containing the model parameters.
/// <c>index 1</c>: <see cref="T:IndexHashTable{string}"/> containing the mapping of model predicates to unique integers.
/// <c>index 2</c>: <see cref="T:string[]"/> containing the names of the outcomes, stored in the index of the array which represents their unique ids in the model.
/// <c>index 3</c>: <see cref="T:double"/> containing the value of the models correction constant.
/// <c>index 4</c>: <see cref="T:double"/> containing the value of the models correction parameter.
/// </para>
///
protected GISModelWriter(AbstractModel model)
{
var data = model.GetDataStructures();
Parameters = (Context[])data[0];
var map = (IndexHashTable <string>)data[1];
OutcomeLabels = (string[])data[2];
CorrectionConstant = (int)data[3];
CorrectionParam = (double)data[4];
PredLabels = map.ToArray();
}
/// <para>
/// <c>index 0</c>: <see cref="T:Context[]"/> containing the model parameters.
/// <c>index 1</c>: <see cref="T:IndexHashTable{string}"/> containing the mapping of model predicates to unique integers.
/// <c>index 2</c>: <see cref="T:string[]"/> containing the names of the outcomes, stored in the index of the array which represents their unique ids in the model.
/// <c>index 3</c>: <see cref="T:double"/> containing the value of the models correction constant.
/// <c>index 4</c>: <see cref="T:double"/> containing the value of the models correction parameter.
/// </para>
///
protected GISModelWriter(AbstractModel model)
{
var data = model.GetDataStructures();
PARAMS = (Context[])data[0];
var map = (IndexHashTable <string>)data[1];
OUTCOME_LABELS = (string[])data[2];
CORRECTION_CONSTANT = (int)data[3]; // string[] ??????????
CORRECTION_PARAM = (Double)data[4];
PRED_LABELS = new String[map.Size];
map.ToArray(PRED_LABELS);
}
/// <summary>
/// Initializes a new instance of the <see cref="PerceptronModelWriter"/> class.
/// </summary>
/// <param name="model">The model.</param>
protected PerceptronModelWriter(AbstractModel model)
{
if (model == null)
{
throw new ArgumentNullException(nameof(model));
}
var data = model.GetDataStructures();
numOutcomes = model.GetNumOutcomes();
Parameters = (Context[])data[0];
OutcomeLabels = (string[])data[2];
PredLabels = ((IndexHashTable <string>)data[1]).ToArray();
}