Examples with RegressionContent - org.knime.base.node.mine.regression.RegressionContent

Example 1 with RegressionContent

use of org.knime.base.node.mine.regression.RegressionContent in project knime-core by knime.

the class LinReg2LearnerNodeView method modelChanged.

/**
 * {@inheritDoc}
 */
@Override
protected void modelChanged() {
    LinReg2LearnerNodeModel model = getNodeModel();
    StringBuilder buffer = new StringBuilder();
    buffer.append("<html>\n");
    buffer.append("<head>\n");
    buffer.append("<style type=\"text/css\">\n");
    buffer.append("body {color:#333333;}");
    buffer.append("table {width: 100%;margin: 7px 0 7px 0;}");
    buffer.append("th {font-weight: bold;background-color: #aaccff;}");
    buffer.append("td,th {padding: 4px 5px; }");
    buffer.append(".numeric {text-align: right}");
    buffer.append(".odd {background-color:#ddeeff;}");
    buffer.append(".even {background-color:#ffffff;}");
    buffer.append("</style>\n");
    buffer.append("</head>\n");
    buffer.append("<body>\n");
    buffer.append("<h2>Statistics on Linear Regression</h2>");
    if (model.isDataAvailable()) {
        RegressionContent content = model.getRegressionContent();
        List<String> parameters = content.getParameters();
        buffer.append("<table>\n");
        buffer.append("<tr>");
        buffer.append("<th>Variable</th>");
        buffer.append("<th>Coeff.</th>");
        buffer.append("<th>Std. Err.</th>");
        buffer.append("<th>t-value</th>");
        buffer.append("<th>P&gt;|t|</th>");
        buffer.append("</tr>");
        Map<Pair<String, Integer>, Double> coefficients = content.getCoefficients();
        Map<Pair<String, Integer>, Double> stdErrs = content.getStandardErrors();
        Map<Pair<String, Integer>, Double> tValues = content.getTValues();
        Map<Pair<String, Integer>, Double> pValues = content.getPValues();
        boolean odd = true;
        for (String parameter : parameters) {
            if (odd) {
                buffer.append("<tr class=\"odd\">\n");
            } else {
                buffer.append("<tr class=\"even\">\n");
            }
            odd = !odd;
            buffer.append("<td>");
            buffer.append(StringEscapeUtils.escapeHtml(parameter));
            buffer.append("</td>\n<td class=\"numeric\">");
            Pair<String, Integer> pair = Pair.create(parameter, 1);
            String coeff = DoubleFormat.formatDouble(coefficients.get(pair));
            buffer.append(coeff);
            buffer.append("</td>\n<td class=\"numeric\">");
            String stdErr = DoubleFormat.formatDouble(stdErrs.get(pair));
            buffer.append(stdErr);
            buffer.append("</td>\n<td class=\"numeric\">");
            String zScore = DoubleFormat.formatDouble(tValues.get(pair));
            buffer.append(zScore);
            buffer.append("</td>\n<td class=\"numeric\">");
            String pValue = DoubleFormat.formatDouble(pValues.get(pair));
            buffer.append(pValue);
            buffer.append("</td>\n");
            buffer.append("</tr>\n");
        }
        if (content.getIncludeConstant()) {
            if (odd) {
                buffer.append("<tr class=\"odd\">\n");
            } else {
                buffer.append("<tr class=\"even\">\n");
            }
            buffer.append("<td>");
            buffer.append("Intercept");
            buffer.append("</td>\n<td class=\"numeric\">");
            String intercept = DoubleFormat.formatDouble(content.getIntercept());
            buffer.append(intercept);
            buffer.append("</td>\n<td class=\"numeric\">");
            String stdErr = DoubleFormat.formatDouble(content.getInterceptStdErr());
            buffer.append(stdErr);
            buffer.append("</td>\n<td class=\"numeric\">");
            String tValue = DoubleFormat.formatDouble(content.getInterceptTValue());
            buffer.append(tValue);
            buffer.append("</td>\n<td class=\"numeric\">");
            String pValue = DoubleFormat.formatDouble(content.getInterceptPValue());
            buffer.append(pValue);
            buffer.append("</td>\n");
            buffer.append("</tr>\n");
            buffer.append("</tr>\n");
        }
        buffer.append("</table>\n");
        if (!content.getIncludeConstant()) {
            buffer.append("Offset Value: ");
            String offsetValue = DoubleFormat.formatDouble(content.getOffsetValue());
            buffer.append(offsetValue);
            buffer.append("<br/>");
        }
        buffer.append("Multiple R-Squared: ");
        String rSquared = DoubleFormat.formatDouble(content.getRSquared());
        buffer.append(rSquared);
        buffer.append("<br/>");
        buffer.append("Adjusted R-Squared: ");
        String adjustedRSquared = DoubleFormat.formatDouble(content.getAdjustedRSquared());
        buffer.append(adjustedRSquared);
        buffer.append("<br/>");
    } else {
        buffer.append("No parameters available.\n");
    }
    buffer.append("</body>\n");
    buffer.append("</html>\n");
    m_pane.setText(buffer.toString());
    m_pane.revalidate();
}

Also used : RegressionContent(org.knime.base.node.mine.regression.RegressionContent) Pair(org.knime.core.util.Pair)

Example 2 with RegressionContent

use of org.knime.base.node.mine.regression.RegressionContent in project knime-core by knime.

the class LinReg2LinePlotter method updatePaintModel.

/**
 * Retrieves the linear regression params, updates the column selection
 * boxes appropriately and adds the regression line to the scatterplot.
 */
@Override
public void updatePaintModel() {
    DataProvider dataProvider = getDataProvider();
    if (dataProvider == null) {
        return;
    }
    RegressionContent content = ((LinReg2DataProvider) dataProvider).getLinRegContent();
    if (content == null) {
        return;
    }
    List<String> includedList = content.getCovariates();
    String target = content.getSpec().getTargetCols().get(0).getName();
    // set the target column to fix
    ((LinReg2LinePlotterProperties) getProperties()).setTargetColumn(target);
    // get the included columns
    ((LinReg2LinePlotterProperties) getProperties()).setIncludedColumns(includedList.toArray(new String[includedList.size()]));
    // update the combo boxes
    DataTableSpec spec = getDataProvider().getDataArray(0).getDataTableSpec();
    ((LinReg2LinePlotterProperties) getProperties()).update(spec);
    super.updatePaintModel();
    double xMin = ((NumericCoordinate) getXAxis().getCoordinate()).getMinDomainValue();
    double xMax = ((NumericCoordinate) getXAxis().getCoordinate()).getMaxDomainValue();
    String xName = getSelectedXColumn().getName();
    if (!xName.equals(target) && includedList.contains(xName)) {
        double yMin = getApproximationFor(xName, xMin, content);
        double yMax = getApproximationFor(xName, xMax, content);
        ((LinReg2LineDrawingPane) getDrawingPane()).setLineFirstPoint(getMappedXValue(new DoubleCell(xMin)), getMappedYValue(new DoubleCell(yMin)));
        ((LinReg2LineDrawingPane) getDrawingPane()).setLineLastPoint(getMappedXValue(new DoubleCell(xMax)), getMappedYValue(new DoubleCell(yMax)));
        getDrawingPane().repaint();
    }
}

Also used : DataProvider(org.knime.base.node.viz.plotter.DataProvider) RegressionContent(org.knime.base.node.mine.regression.RegressionContent) DataTableSpec(org.knime.core.data.DataTableSpec) DoubleCell(org.knime.core.data.def.DoubleCell) NumericCoordinate(org.knime.base.util.coordinate.NumericCoordinate)

Example 3 with RegressionContent

use of org.knime.base.node.mine.regression.RegressionContent in project knime-core by knime.

the class LinReg2LinePlotter method updateSize.

/**
 * First calls super then adapts the regression line.
 */
@Override
public void updateSize() {
    if (getXAxis() == null || getXAxis().getCoordinate() == null || getYAxis() == null || getYAxis().getCoordinate() == null) {
        return;
    }
    super.updateSize();
    DataProvider dataProvider = getDataProvider();
    if (dataProvider == null) {
        return;
    }
    RegressionContent content = ((LinReg2DataProvider) dataProvider).getLinRegContent();
    if (content == null) {
        return;
    }
    double xMin = ((NumericCoordinate) getXAxis().getCoordinate()).getMinDomainValue();
    double xMax = ((NumericCoordinate) getXAxis().getCoordinate()).getMaxDomainValue();
    String xName = getSelectedXColumn().getName();
    List<String> includedList = content.getCovariates();
    String target = content.getSpec().getTargetCols().get(0).getName();
    if (!xName.equals(target) && includedList.contains(xName)) {
        double yMin = getApproximationFor(xName, xMin, content);
        double yMax = getApproximationFor(xName, xMax, content);
        ((LinReg2LineDrawingPane) getDrawingPane()).setLineFirstPoint(getMappedXValue(new DoubleCell(xMin)), getMappedYValue(new DoubleCell(yMin)));
        ((LinReg2LineDrawingPane) getDrawingPane()).setLineLastPoint(getMappedXValue(new DoubleCell(xMax)), getMappedYValue(new DoubleCell(yMax)));
    }
}

Also used : DataProvider(org.knime.base.node.viz.plotter.DataProvider) RegressionContent(org.knime.base.node.mine.regression.RegressionContent) DoubleCell(org.knime.core.data.def.DoubleCell) NumericCoordinate(org.knime.base.util.coordinate.NumericCoordinate)

Aggregations

RegressionContent (org.knime.base.node.mine.regression.RegressionContent)3 DataProvider (org.knime.base.node.viz.plotter.DataProvider)2 NumericCoordinate (org.knime.base.util.coordinate.NumericCoordinate)2 DoubleCell (org.knime.core.data.def.DoubleCell)2 DataTableSpec (org.knime.core.data.DataTableSpec)1 Pair (org.knime.core.util.Pair)1