Java Code Examples for org.apache.commons.math3.exception.util.LocalizedFormats#NO_DATA

/**
 * Adds multiple observations to the model.
 * @param x observations on the regressors
 * @param y observations on the regressand
 * @throws ModelSpecificationException if {@code x} is not rectangular, does not match
 * the length of {@code y} or does not contain sufficient data to estimate the model
 */
public void addObservations(double[][] x, double[] y) throws ModelSpecificationException {
    if ((x == null) || (y == null) || (x.length != y.length)) {
        throw new ModelSpecificationException(
              LocalizedFormats.DIMENSIONS_MISMATCH_SIMPLE,
              (x == null) ? 0 : x.length,
              (y == null) ? 0 : y.length);
    }
    if (x.length == 0) {  // Must be no y data either
        throw new ModelSpecificationException(
                LocalizedFormats.NO_DATA);
    }
    if (x[0].length + 1 > x.length) {
        throw new ModelSpecificationException(
              LocalizedFormats.NOT_ENOUGH_DATA_FOR_NUMBER_OF_PREDICTORS,
              x.length, x[0].length);
    }
    for (int i = 0; i < x.length; i++) {
        addObservation(x[i], y[i]);
    }
}
 

/**
 * Adds multiple observations to the model.
 * @param x observations on the regressors
 * @param y observations on the regressand
 * @throws ModelSpecificationException if {@code x} is not rectangular, does not match
 * the length of {@code y} or does not contain sufficient data to estimate the model
 */
public void addObservations(double[][] x, double[] y) throws ModelSpecificationException {
    if ((x == null) || (y == null) || (x.length != y.length)) {
        throw new ModelSpecificationException(
              LocalizedFormats.DIMENSIONS_MISMATCH_SIMPLE,
              (x == null) ? 0 : x.length,
              (y == null) ? 0 : y.length);
    }
    if (x.length == 0) {  // Must be no y data either
        throw new ModelSpecificationException(
                LocalizedFormats.NO_DATA);
    }
    if (x[0].length + 1 > x.length) {
        throw new ModelSpecificationException(
              LocalizedFormats.NOT_ENOUGH_DATA_FOR_NUMBER_OF_PREDICTORS,
              x.length, x[0].length);
    }
    for (int i = 0; i < x.length; i++) {
        addObservation(x[i], y[i]);
    }
}
 

/**
 * Adds multiple observations to the model.
 * @param x observations on the regressors
 * @param y observations on the regressand
 * @throws ModelSpecificationException if {@code x} is not rectangular, does not match
 * the length of {@code y} or does not contain sufficient data to estimate the model
 */
public void addObservations(double[][] x, double[] y) throws ModelSpecificationException {
    if ((x == null) || (y == null) || (x.length != y.length)) {
        throw new ModelSpecificationException(
              LocalizedFormats.DIMENSIONS_MISMATCH_SIMPLE,
              (x == null) ? 0 : x.length,
              (y == null) ? 0 : y.length);
    }
    if (x.length == 0) {  // Must be no y data either
        throw new ModelSpecificationException(
                LocalizedFormats.NO_DATA);
    }
    if (x[0].length + 1 > x.length) {
        throw new ModelSpecificationException(
              LocalizedFormats.NOT_ENOUGH_DATA_FOR_NUMBER_OF_PREDICTORS,
              x.length, x[0].length);
    }
    for (int i = 0; i < x.length; i++) {
        addObservation(x[i], y[i]);
    }
}
 

/**
 * Adds multiple observations to the model.
 * @param x observations on the regressors
 * @param y observations on the regressand
 * @throws ModelSpecificationException if {@code x} is not rectangular, does not match
 * the length of {@code y} or does not contain sufficient data to estimate the model
 */
public void addObservations(double[][] x, double[] y) {
    if ((x == null) || (y == null) || (x.length != y.length)) {
        throw new ModelSpecificationException(
              LocalizedFormats.DIMENSIONS_MISMATCH_SIMPLE,
              (x == null) ? 0 : x.length,
              (y == null) ? 0 : y.length);
    }
    if (x.length == 0) {  // Must be no y data either
        throw new ModelSpecificationException(
                LocalizedFormats.NO_DATA);
    }
    if (x[0].length + 1 > x.length) {
        throw new ModelSpecificationException(
              LocalizedFormats.NOT_ENOUGH_DATA_FOR_NUMBER_OF_PREDICTORS,
              x.length, x[0].length);
    }
    for (int i = 0; i < x.length; i++) {
        addObservation(x[i], y[i]);
    }
}
 

/**
 * Adds multiple observations to the model.
 * @param x observations on the regressors
 * @param y observations on the regressand
 * @throws ModelSpecificationException if {@code x} is not rectangular, does not match
 * the length of {@code y} or does not contain sufficient data to estimate the model
 */
public void addObservations(double[][] x, double[] y) {
    if ((x == null) || (y == null) || (x.length != y.length)) {
        throw new ModelSpecificationException(
              LocalizedFormats.DIMENSIONS_MISMATCH_SIMPLE,
              (x == null) ? 0 : x.length,
              (y == null) ? 0 : y.length);
    }
    if (x.length == 0) {  // Must be no y data either
        throw new ModelSpecificationException(
                LocalizedFormats.NO_DATA);
    }
    if (x[0].length + 1 > x.length) {
        throw new ModelSpecificationException(
              LocalizedFormats.NOT_ENOUGH_DATA_FOR_NUMBER_OF_PREDICTORS,
              x.length, x[0].length);
    }
    for (int i = 0; i < x.length; i++) {
        addObservation(x[i], y[i]);
    }
}
 

/**
 * Adds multiple observations to the model
 * @param x observations on the regressors
 * @param y observations on the regressand
 * @throws ModelSpecificationException if {@code x} is not rectangular, does not match
 * the length of {@code y} or does not contain sufficient data to estimate the model
 */
public void addObservations(double[][] x, double[] y) {
    if ((x == null) || (y == null) || (x.length != y.length)) {
        throw new ModelSpecificationException(
              LocalizedFormats.DIMENSIONS_MISMATCH_SIMPLE,
              (x == null) ? 0 : x.length,
              (y == null) ? 0 : y.length);
    }
    if (x.length == 0) {  // Must be no y data either
        throw new ModelSpecificationException(
                LocalizedFormats.NO_DATA);
    }
    if (x[0].length + 1 > x.length) {
        throw new ModelSpecificationException(
              LocalizedFormats.NOT_ENOUGH_DATA_FOR_NUMBER_OF_PREDICTORS,
              x.length, x[0].length);
    }
    for (int i = 0; i < x.length; i++) {
        this.addObservation(x[i], y[i]);
    }
    return;
}
 

/**
 * Adds multiple observations to the model.
 * @param x observations on the regressors
 * @param y observations on the regressand
 * @throws ModelSpecificationException if {@code x} is not rectangular, does not match
 * the length of {@code y} or does not contain sufficient data to estimate the model
 */
public void addObservations(double[][] x, double[] y) throws ModelSpecificationException {
    if ((x == null) || (y == null) || (x.length != y.length)) {
        throw new ModelSpecificationException(
              LocalizedFormats.DIMENSIONS_MISMATCH_SIMPLE,
              (x == null) ? 0 : x.length,
              (y == null) ? 0 : y.length);
    }
    if (x.length == 0) {  // Must be no y data either
        throw new ModelSpecificationException(
                LocalizedFormats.NO_DATA);
    }
    if (x[0].length + 1 > x.length) {
        throw new ModelSpecificationException(
              LocalizedFormats.NOT_ENOUGH_DATA_FOR_NUMBER_OF_PREDICTORS,
              x.length, x[0].length);
    }
    for (int i = 0; i < x.length; i++) {
        addObservation(x[i], y[i]);
    }
}
 

/**
 * Removes the most recent value from the dataset.
 *
 * @throws MathIllegalStateException if there are no elements stored
 */
public void removeMostRecentValue() throws MathIllegalStateException {
    try {
        eDA.discardMostRecentElements(1);
    } catch (MathIllegalArgumentException ex) {
        throw new MathIllegalStateException(LocalizedFormats.NO_DATA);
    }
}
 

/**
 * Removes the most recent value from the dataset.
 *
 * @throws MathIllegalStateException if there are no elements stored
 */
public void removeMostRecentValue() throws MathIllegalStateException {
    try {
        eDA.discardMostRecentElements(1);
    } catch (MathIllegalArgumentException ex) {
        throw new MathIllegalStateException(LocalizedFormats.NO_DATA);
    }
}
 

/**
 * Removes the most recent value from the dataset.
 *
 * @throws MathIllegalStateException if there are no elements stored
 */
public void removeMostRecentValue() throws MathIllegalStateException {
    try {
        eDA.discardMostRecentElements(1);
    } catch (MathIllegalArgumentException ex) {
        throw new MathIllegalStateException(LocalizedFormats.NO_DATA);
    }
}
 

/**
 * Removes the most recent value from the dataset.
 *
 * @throws MathIllegalStateException if there are no elements stored
 */
public void removeMostRecentValue() throws MathIllegalStateException {
    try {
        eDA.discardMostRecentElements(1);
    } catch (MathIllegalArgumentException ex) {
        throw new MathIllegalStateException(LocalizedFormats.NO_DATA);
    }
}
 

/**
 * Removes the most recent value from the dataset.
 *
 * @throws MathIllegalStateException if there are no elements stored
 */
public void removeMostRecentValue() throws MathIllegalStateException {
    try {
        eDA.discardMostRecentElements(1);
    } catch (MathIllegalArgumentException ex) {
        throw new MathIllegalStateException(LocalizedFormats.NO_DATA);
    }
}
 

/**
 * Removes the most recent value from the dataset.
 *
 * @throws MathIllegalStateException if there are no elements stored
 */
public void removeMostRecentValue() throws MathIllegalStateException {
    try {
        eDA.discardMostRecentElements(1);
    } catch (MathIllegalArgumentException ex) {
        throw new MathIllegalStateException(LocalizedFormats.NO_DATA);
    }
}
 

/**
 * Construct the exception.
 */
public NoDataException() {
    this(LocalizedFormats.NO_DATA);
}
 

/**
 * Construct the exception.
 */
public NoDataException() {
    this(LocalizedFormats.NO_DATA);
}
 

/**
 * Construct the exception.
 */
public NoDataException() {
    this(LocalizedFormats.NO_DATA);
}
 

/**
 * Construct the exception.
 */
public NoDataException() {
    this(LocalizedFormats.NO_DATA);
}
 

/**
 * Construct the exception.
 */
public NoDataException() {
    this(LocalizedFormats.NO_DATA);
}
 

/**
 * Construct the exception.
 */
public NoDataException() {
    this(LocalizedFormats.NO_DATA);
}
 

/**
 * Construct the exception.
 */
public NoDataException() {
    this(LocalizedFormats.NO_DATA);
}