Summary class.
예제 #1
0
 /// <summary>
 /// Normalize a row vector using Z-Score normalization on the supplied feature properties.
 /// </summary>
 /// <param name="row"></param>
 /// <param name="properties"></param>
 /// <returns></returns>
 public Vector Normalize(Vector row, Summary properties)
 {
     if (row == null)
     {
         throw new ArgumentNullException("Row was null");
     }
     double[] item = new double[row.Length];
     for (int i = 0; i < row.Length; i++)
     {
         item[i] = (row[i] - properties.Average[i]);
     }
     return item;
 }
예제 #2
0
 /// <summary>
 /// Converts the state vector into an MDP state.
 /// </summary>
 /// <param name="state">State vector.</param>
 /// <param name="summary">Feature properties from the original set.</param>
 /// <param name="discretizer">Discretization function for generating unique state identifiers.</param>
 /// <returns>MDPState.</returns>
 public static MDPState GetState(Vector state, Summary summary, IDiscretizer discretizer)
 {
     return new MDPState((int)discretizer.Discretize(state, summary)) { Features = state };
 }