Example 6 with PerformanceObject
use of ml.shifu.shifu.container.PerformanceObject in project shifu by ShifuML.
the class AreaUnderCurveTest method calculateAreaTest.
@Test
public void calculateAreaTest() {
PerformanceExtractor xExtractor = Performances.fpr();
PerformanceExtractor yExtractor = Performances.recall();
List<PerformanceObject> nullList = null;
List<PerformanceObject> oneList = Arrays.asList(new PerformanceObject());
Assert.assertEquals(AreaUnderCurve.calculateArea(nullList, xExtractor, yExtractor), 0.0);
Assert.assertEquals(AreaUnderCurve.calculateArea(oneList, xExtractor, yExtractor), 0.0);
}
Also used :
PerformanceObject(ml.shifu.shifu.container.PerformanceObject)
PerformanceExtractor(ml.shifu.shifu.core.eval.PerformanceExtractor)
Test(org.testng.annotations.Test)
Example 7 with PerformanceObject
use of ml.shifu.shifu.container.PerformanceObject in project shifu by ShifuML.
the class GainChart method generateHtml4PrAndRoc.
public void generateHtml4PrAndRoc(EvalConfig evalConfig, ModelConfig modelConfig, String fileName, List<PerformanceResult> results, List<String> names) throws IOException {
BufferedWriter writer = null;
try {
writer = ShifuFileUtils.getWriter(fileName, SourceType.LOCAL);
writer.write(GainChartTemplate.HIGHCHART_BASE_BEGIN);
writer.write(String.format(GainChartTemplate.HIGHCHART_BUTTON_PANEL_TEMPLATE_1, "Weighted PR Curve", "lst0", "Weighted Precision", "lst1", "Unit-wise Precision"));
writer.write(String.format(GainChartTemplate.HIGHCHART_BUTTON_PANEL_TEMPLATE_2, "Unit-wise PR Curve", "lst2", "Weighted Precision", "lst3", "Unit-wise Precision"));
writer.write(String.format(GainChartTemplate.HIGHCHART_BUTTON_PANEL_TEMPLATE_1, "Weighted ROC Curve", "lst4", "Weighted Recall", "lst5", "Unit-wise Recall"));
writer.write(String.format(GainChartTemplate.HIGHCHART_BUTTON_PANEL_TEMPLATE_2, "Unit-wise ROC Curve", "lst6", "Weighted Recall", "lst7", "Unit-wise Recall"));
writer.write(" </div>\n");
writer.write(" <div class=\"col-sm-9 col-sm-offset-3 col-md-10 col-md-offset-2 main\">\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_DIV, "container0"));
writer.write(String.format(GainChartTemplate.HIGHCHART_DIV, "container1"));
writer.write(String.format(GainChartTemplate.HIGHCHART_DIV, "container2"));
writer.write(String.format(GainChartTemplate.HIGHCHART_DIV, "container3"));
writer.write(String.format(GainChartTemplate.HIGHCHART_DIV, "container4"));
writer.write(String.format(GainChartTemplate.HIGHCHART_DIV, "container5"));
writer.write(String.format(GainChartTemplate.HIGHCHART_DIV, "container6"));
writer.write(String.format(GainChartTemplate.HIGHCHART_DIV, "container7"));
writer.write("<script>\n");
writer.write("\n");
for (int j = 0; j < results.size(); j++) {
PerformanceResult result = results.get(j);
writer.write(" var data_" + j + " = [\n");
for (int i = 0; i < result.weightedPr.size(); i++) {
PerformanceObject po = result.weightedPr.get(i);
writer.write(String.format(GainChartTemplate.PRROC_DATA_FORMAT, GainChartTemplate.DF.format(po.weightedPrecision * 100), GainChartTemplate.DF.format(po.weightedRecall * 100), GainChartTemplate.DF.format(po.weightedPrecision * 100), GainChartTemplate.DF.format(po.weightedRecall * 100), GainChartTemplate.DF.format(po.weightedFpr * 100), GainChartTemplate.DF.format(po.weightedActionRate * 100), GainChartTemplate.DF.format(po.binLowestScore)));
if (i != result.weightedPr.size() - 1) {
writer.write(",");
}
}
writer.write(" ];\n");
writer.write("\n");
}
for (int j = 0; j < results.size(); j++) {
PerformanceResult result = results.get(j);
writer.write(" var data_" + (results.size() + j) + " = [\n");
for (int i = 0; i < result.weightedPr.size(); i++) {
PerformanceObject po = result.weightedPr.get(i);
writer.write(String.format(GainChartTemplate.PRROC_DATA_FORMAT, GainChartTemplate.DF.format(po.precision * 100), GainChartTemplate.DF.format(po.weightedRecall * 100), GainChartTemplate.DF.format(po.precision * 100), GainChartTemplate.DF.format(po.weightedRecall * 100), GainChartTemplate.DF.format(po.weightedFpr * 100), GainChartTemplate.DF.format(po.weightedActionRate * 100), GainChartTemplate.DF.format(po.binLowestScore)));
if (i != result.weightedPr.size() - 1) {
writer.write(",");
}
}
writer.write(" ];\n");
writer.write("\n");
}
for (int j = 0; j < results.size(); j++) {
PerformanceResult result = results.get(j);
writer.write(" var data_" + (2 * results.size() + j) + " = [\n");
for (int i = 0; i < result.pr.size(); i++) {
PerformanceObject po = result.pr.get(i);
writer.write(String.format(GainChartTemplate.PRROC_DATA_FORMAT, GainChartTemplate.DF.format(po.weightedPrecision * 100), GainChartTemplate.DF.format(po.recall * 100), GainChartTemplate.DF.format(po.weightedPrecision * 100), GainChartTemplate.DF.format(po.recall * 100), GainChartTemplate.DF.format(po.fpr * 100), GainChartTemplate.DF.format(po.actionRate * 100), GainChartTemplate.DF.format(po.binLowestScore)));
if (i != result.pr.size() - 1) {
writer.write(",");
}
}
writer.write(" ];\n");
writer.write("\n");
}
for (int j = 0; j < results.size(); j++) {
PerformanceResult result = results.get(j);
writer.write(" var data_" + (3 * results.size() + j) + " = [\n");
for (int i = 0; i < result.pr.size(); i++) {
PerformanceObject po = result.pr.get(i);
writer.write(String.format(GainChartTemplate.PRROC_DATA_FORMAT, GainChartTemplate.DF.format(po.precision * 100), GainChartTemplate.DF.format(po.recall * 100), GainChartTemplate.DF.format(po.precision * 100), GainChartTemplate.DF.format(po.recall * 100), GainChartTemplate.DF.format(po.fpr * 100), GainChartTemplate.DF.format(po.actionRate * 100), GainChartTemplate.DF.format(po.binLowestScore)));
if (i != result.pr.size() - 1) {
writer.write(",");
}
}
writer.write(" ];\n");
writer.write("\n");
}
for (int j = 0; j < results.size(); j++) {
PerformanceResult result = results.get(j);
writer.write(" var data_" + (4 * results.size() + j) + " = [\n");
for (int i = 0; i < result.weightedRoc.size(); i++) {
PerformanceObject po = result.weightedRoc.get(i);
writer.write(String.format(GainChartTemplate.PRROC_DATA_FORMAT, GainChartTemplate.DF.format(po.weightedRecall * 100), GainChartTemplate.DF.format(po.weightedFpr * 100), GainChartTemplate.DF.format(po.weightedPrecision * 100), GainChartTemplate.DF.format(po.weightedRecall * 100), GainChartTemplate.DF.format(po.weightedFpr * 100), GainChartTemplate.DF.format(po.weightedActionRate * 100), GainChartTemplate.DF.format(po.binLowestScore)));
if (i != result.weightedRoc.size() - 1) {
writer.write(",");
}
}
writer.write(" ];\n");
writer.write("\n");
}
for (int j = 0; j < results.size(); j++) {
PerformanceResult result = results.get(j);
writer.write(" var data_" + (5 * results.size() + j) + " = [\n");
for (int i = 0; i < result.weightedRoc.size(); i++) {
PerformanceObject po = result.weightedRoc.get(i);
writer.write(String.format(GainChartTemplate.PRROC_DATA_FORMAT, GainChartTemplate.DF.format(po.recall * 100), GainChartTemplate.DF.format(po.weightedFpr * 100), GainChartTemplate.DF.format(po.weightedPrecision * 100), GainChartTemplate.DF.format(po.recall * 100), GainChartTemplate.DF.format(po.weightedFpr * 100), GainChartTemplate.DF.format(po.weightedActionRate * 100), GainChartTemplate.DF.format(po.binLowestScore)));
if (i != result.weightedRoc.size() - 1) {
writer.write(",");
}
}
writer.write(" ];\n");
writer.write("\n");
}
for (int j = 0; j < results.size(); j++) {
PerformanceResult result = results.get(j);
writer.write(" var data_" + (6 * results.size() + j) + " = [\n");
for (int i = 0; i < result.roc.size(); i++) {
PerformanceObject po = result.roc.get(i);
writer.write(String.format(GainChartTemplate.PRROC_DATA_FORMAT, GainChartTemplate.DF.format(po.weightedRecall * 100), GainChartTemplate.DF.format(po.fpr * 100), GainChartTemplate.DF.format(po.precision * 100), GainChartTemplate.DF.format(po.weightedRecall * 100), GainChartTemplate.DF.format(po.fpr * 100), GainChartTemplate.DF.format(po.actionRate * 100), GainChartTemplate.DF.format(po.binLowestScore)));
if (i != result.roc.size() - 1) {
writer.write(",");
}
}
writer.write(" ];\n");
writer.write("\n");
}
for (int j = 0; j < results.size(); j++) {
PerformanceResult result = results.get(j);
writer.write(" var data_" + (7 * results.size() + j) + " = [\n");
for (int i = 0; i < result.roc.size(); i++) {
PerformanceObject po = result.roc.get(i);
writer.write(String.format(GainChartTemplate.PRROC_DATA_FORMAT, GainChartTemplate.DF.format(po.recall * 100), GainChartTemplate.DF.format(po.fpr * 100), GainChartTemplate.DF.format(po.precision * 100), GainChartTemplate.DF.format(po.recall * 100), GainChartTemplate.DF.format(po.fpr * 100), GainChartTemplate.DF.format(po.actionRate * 100), GainChartTemplate.DF.format(po.binLowestScore)));
if (i != result.roc.size() - 1) {
writer.write(",");
}
}
writer.write(" ];\n");
writer.write("\n");
}
writer.write("$(function () {\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_CHART_TEMPLATE_PREFIX3, "container0", "Weighted Recall - Weighted Precision (PR Curve)", modelConfig.getBasic().getName(), "Weighte Precision", "Weighted Recall", "%", "false"));
int currIndex = 0;
writer.write("series: [");
for (int i = 0; i < results.size(); i++) {
writer.write("{");
writer.write(" data: data_" + (currIndex++) + ",");
writer.write(" name: '" + names.get(i) + "',");
writer.write(" turboThreshold:0");
writer.write("}");
if (i != results.size() - 1) {
writer.write(",");
}
}
writer.write("]");
writer.write("});");
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_CHART_TEMPLATE_PREFIX3, "container1", "Weighted Recall - Unit-wise Precision (PR Curve)", modelConfig.getBasic().getName(), "Unit-wise Precision", "Weighted Recall", "%", "false"));
writer.write("series: [");
for (int i = 0; i < results.size(); i++) {
writer.write("{");
writer.write(" data: data_" + (currIndex++) + ",");
writer.write(" name: '" + names.get(i) + "',");
writer.write(" turboThreshold:0");
writer.write("}");
if (i != results.size() - 1) {
writer.write(",");
}
}
writer.write("]");
writer.write("});");
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_CHART_TEMPLATE_PREFIX3, "container2", "Unit-wise Recall - Weighted Precision (PR Curve)", modelConfig.getBasic().getName(), "Weighted Precision", "Unit-wise Recall", "%", "false"));
writer.write("series: [");
for (int i = 0; i < results.size(); i++) {
writer.write("{");
writer.write(" data: data_" + (currIndex++) + ",");
writer.write(" name: '" + names.get(i) + "',");
writer.write(" turboThreshold:0");
writer.write("}");
if (i != results.size() - 1) {
writer.write(",");
}
}
writer.write("]");
writer.write("});");
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_CHART_TEMPLATE_PREFIX3, "container3", "Unit-wise Recall - Unit-wise Precision (PR Curve)", modelConfig.getBasic().getName(), "Unit-wise Precision", "Unit-wise Recall", "%", "false"));
writer.write("series: [");
for (int i = 0; i < results.size(); i++) {
writer.write("{");
writer.write(" data: data_" + (currIndex++) + ",");
writer.write(" name: '" + names.get(i) + "',");
writer.write(" turboThreshold:0");
writer.write("}");
if (i != results.size() - 1) {
writer.write(",");
}
}
writer.write("]");
writer.write("});");
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_CHART_TEMPLATE_PREFIX3, "container4", "Weighted FPR - Weighted Recall (ROC Curve)", modelConfig.getBasic().getName(), "Weighted Recall", "Weighted FPR", "%", "false"));
writer.write("series: [");
for (int i = 0; i < results.size(); i++) {
writer.write("{");
writer.write(" data: data_" + (currIndex++) + ",");
writer.write(" name: '" + names.get(i) + "',");
writer.write(" turboThreshold:0");
writer.write("}");
if (i != results.size() - 1) {
writer.write(",");
}
}
writer.write("]");
writer.write("});");
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_CHART_TEMPLATE_PREFIX3, "container5", "Weighted FPR - Unit-wise Recall (ROC Curve)", modelConfig.getBasic().getName(), "Unit-wise Recall", "Weighted FPR", "%", "false"));
writer.write("series: [");
for (int i = 0; i < results.size(); i++) {
writer.write("{");
writer.write(" data: data_" + (currIndex++) + ",");
writer.write(" name: '" + names.get(i) + "',");
writer.write(" turboThreshold:0");
writer.write("}");
if (i != results.size() - 1) {
writer.write(",");
}
}
writer.write("]");
writer.write("});");
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_CHART_TEMPLATE_PREFIX3, "container6", "Unit-wise FPR - Weighted Recall (ROC Curve)", modelConfig.getBasic().getName(), "Weighted Recall", "Unit-wise FPR", "%", "false"));
writer.write("series: [");
for (int i = 0; i < results.size(); i++) {
writer.write("{");
writer.write(" data: data_" + (currIndex++) + ",");
writer.write(" name: '" + names.get(i) + "',");
writer.write(" turboThreshold:0");
writer.write("}");
if (i != results.size() - 1) {
writer.write(",");
}
}
writer.write("]");
writer.write("});");
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_CHART_TEMPLATE_PREFIX3, "container7", "Unit-wise FPR - Unit-wise Recall (ROC Curve)", modelConfig.getBasic().getName(), "Unit-wise Recall", "Unit-wise FPR", "%", "false"));
writer.write("series: [");
for (int i = 0; i < results.size(); i++) {
writer.write("{");
writer.write(" data: data_" + (currIndex++) + ",");
writer.write(" name: '" + names.get(i) + "',");
writer.write(" turboThreshold:0");
writer.write("}");
if (i != results.size() - 1) {
writer.write(",");
}
}
writer.write("]");
writer.write("});");
writer.write("\n");
writer.write("});\n");
writer.write("\n");
writer.write("$(document).ready(function() {\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_LIST_TOGGLE_TEMPLATE, "lst0", "container0", "lst0"));
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_LIST_TOGGLE_TEMPLATE, "lst1", "container1", "lst1"));
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_LIST_TOGGLE_TEMPLATE, "lst2", "container2", "lst2"));
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_LIST_TOGGLE_TEMPLATE, "lst3", "container3", "lst3"));
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_LIST_TOGGLE_TEMPLATE, "lst4", "container4", "lst4"));
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_LIST_TOGGLE_TEMPLATE, "lst5", "container5", "lst5"));
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_LIST_TOGGLE_TEMPLATE, "lst6", "container6", "lst6"));
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_LIST_TOGGLE_TEMPLATE, "lst7", "container7", "lst7"));
writer.write("\n");
writer.write("\n");
writer.write(" var ics = ['#container1','#container2', '#container5','#container6'];\n");
writer.write(" var icl = ics.length;\n");
writer.write(" for (var i = 0; i < icl; i++) {\n");
writer.write(" $(ics[i]).toggleClass('show');\n");
writer.write(" $(ics[i]).toggleClass('hidden');\n");
writer.write(" $(ics[i]).toggleClass('ls_chosen');\n");
writer.write(" };\n");
writer.write("\n");
writer.write("});\n");
writer.write("\n");
writer.write("</script>\n");
writer.write(GainChartTemplate.HIGHCHART_BASE_END);
} finally {
if (writer != null) {
writer.close();
}
}
}
Also used :
PerformanceResult(ml.shifu.shifu.container.obj.PerformanceResult)
PerformanceObject(ml.shifu.shifu.container.PerformanceObject)
BufferedWriter(java.io.BufferedWriter)
Example 8 with PerformanceObject
use of ml.shifu.shifu.container.PerformanceObject in project shifu by ShifuML.
the class GainChart method generateHtml.
public void generateHtml(EvalConfig evalConfig, ModelConfig modelConfig, String fileName, PerformanceResult result) throws IOException {
BufferedWriter writer = null;
try {
writer = ShifuFileUtils.getWriter(fileName, SourceType.LOCAL);
writer.write(GainChartTemplate.HIGHCHART_BASE_BEGIN);
writer.write(String.format(GainChartTemplate.HIGHCHART_BUTTON_PANEL_TEMPLATE_1, "Weighted Operation Point", "lst0", "Weighted Recall", "lst1", "Unit-wise Recall"));
writer.write(String.format(GainChartTemplate.HIGHCHART_BUTTON_PANEL_TEMPLATE_2, "Unit-wise Operation Point", "lst2", "Weighted Recall", "lst3", "Unit-wise Recall"));
writer.write(String.format(GainChartTemplate.HIGHCHART_BUTTON_PANEL_TEMPLATE_3, "Model Score", "lst4", "Weighted Recall", "lst5", "Unit-wise Recall"));
writer.write(String.format(GainChartTemplate.HIGHCHART_BUTTON_PANEL_TEMPLATE_4, "Score Distibution", "lst6", "Score Count"));
writer.write(" </div>\n");
writer.write(" <div class=\"col-sm-9 col-sm-offset-3 col-md-10 col-md-offset-2 main\">\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_DIV, "container0"));
writer.write(String.format(GainChartTemplate.HIGHCHART_DIV, "container1"));
writer.write(String.format(GainChartTemplate.HIGHCHART_DIV, "container2"));
writer.write(String.format(GainChartTemplate.HIGHCHART_DIV, "container3"));
writer.write(String.format(GainChartTemplate.HIGHCHART_DIV, "container4"));
writer.write(String.format(GainChartTemplate.HIGHCHART_DIV, "container5"));
writer.write(String.format(GainChartTemplate.HIGHCHART_DIV, "container6"));
writer.write("<script>\n");
writer.write("\n");
writer.write(" var data_0 = [\n");
for (int i = 0; i < result.weightedGains.size(); i++) {
PerformanceObject po = result.weightedGains.get(i);
writer.write(String.format(GainChartTemplate.DATA_FORMAT, GainChartTemplate.DF.format(po.weightedRecall * 100), GainChartTemplate.DF.format(po.weightedActionRate * 100), GainChartTemplate.DF.format(po.weightedActionRate * 100), GainChartTemplate.DF.format(po.weightedPrecision * 100), GainChartTemplate.DF.format(po.actionRate * 100), GainChartTemplate.DF.format(po.binLowestScore)));
if (i != result.weightedGains.size() - 1) {
writer.write(",");
}
}
writer.write(" ];\n");
writer.write("\n");
writer.write(" var data_1 = [\n");
for (int i = 0; i < result.weightedGains.size(); i++) {
PerformanceObject po = result.weightedGains.get(i);
writer.write(String.format(GainChartTemplate.DATA_FORMAT, GainChartTemplate.DF.format(po.recall * 100), GainChartTemplate.DF.format(po.weightedActionRate * 100), GainChartTemplate.DF.format(po.weightedActionRate * 100), GainChartTemplate.DF.format(po.precision * 100), GainChartTemplate.DF.format(po.actionRate * 100), GainChartTemplate.DF.format(po.binLowestScore)));
if (i != result.weightedGains.size() - 1) {
writer.write(",");
}
}
writer.write(" ];\n");
writer.write("\n");
writer.write(" var data_2 = [\n");
for (int i = 0; i < result.gains.size(); i++) {
PerformanceObject po = result.gains.get(i);
writer.write(String.format(GainChartTemplate.DATA_FORMAT, GainChartTemplate.DF.format(po.weightedRecall * 100), GainChartTemplate.DF.format(po.actionRate * 100), GainChartTemplate.DF.format(po.weightedActionRate * 100), GainChartTemplate.DF.format(po.weightedPrecision * 100), GainChartTemplate.DF.format(po.actionRate * 100), GainChartTemplate.DF.format(po.binLowestScore)));
if (i != result.gains.size() - 1) {
writer.write(",");
}
}
writer.write(" ];\n");
writer.write("\n");
writer.write(" var data_3 = [\n");
for (int i = 0; i < result.gains.size(); i++) {
PerformanceObject po = result.gains.get(i);
writer.write(String.format(GainChartTemplate.DATA_FORMAT, GainChartTemplate.DF.format(po.recall * 100), GainChartTemplate.DF.format(po.actionRate * 100), GainChartTemplate.DF.format(po.weightedActionRate * 100), GainChartTemplate.DF.format(po.precision * 100), GainChartTemplate.DF.format(po.actionRate * 100), GainChartTemplate.DF.format(po.binLowestScore)));
if (i != result.gains.size() - 1) {
writer.write(",");
}
}
writer.write(" ];\n");
writer.write("\n");
writer.write(" var data_4 = [\n");
for (int i = 0; i < result.modelScoreList.size(); i++) {
PerformanceObject po = result.modelScoreList.get(i);
writer.write(String.format(GainChartTemplate.DATA_FORMAT, GainChartTemplate.DF.format(po.weightedRecall * 100), GainChartTemplate.DF.format(po.binLowestScore), GainChartTemplate.DF.format(po.weightedActionRate * 100), GainChartTemplate.DF.format(po.weightedPrecision * 100), GainChartTemplate.DF.format(po.actionRate * 100), GainChartTemplate.DF.format(po.binLowestScore)));
if (i != result.modelScoreList.size() - 1) {
writer.write(",");
}
}
writer.write(" ];\n");
writer.write("\n");
writer.write(" var data_5 = [\n");
for (int i = 0; i < result.modelScoreList.size(); i++) {
PerformanceObject po = result.modelScoreList.get(i);
writer.write(String.format(GainChartTemplate.DATA_FORMAT, GainChartTemplate.DF.format(po.recall * 100), GainChartTemplate.DF.format(po.binLowestScore), GainChartTemplate.DF.format(po.weightedActionRate * 100), GainChartTemplate.DF.format(po.precision * 100), GainChartTemplate.DF.format(po.actionRate * 100), GainChartTemplate.DF.format(po.binLowestScore)));
if (i != result.modelScoreList.size() - 1) {
writer.write(",");
}
}
writer.write(" ];\n");
writer.write("\n");
writer.write(" var data_6 = [\n");
for (int i = 0; i < result.modelScoreList.size(); i++) {
PerformanceObject po = result.modelScoreList.get(i);
writer.write(String.format(GainChartTemplate.SCORE_DATA_FORMAT, GainChartTemplate.DF.format(po.scoreCount), GainChartTemplate.DF.format(po.binLowestScore), GainChartTemplate.DF.format(po.scoreCount), GainChartTemplate.DF.format(po.binLowestScore)));
if (i != result.modelScoreList.size() - 1) {
writer.write(",");
}
}
writer.write(" ];\n");
writer.write("\n");
writer.write("$(function () {\n");
String fullName = modelConfig.getBasic().getName() + "::" + evalConfig.getName();
writer.write(String.format(GainChartTemplate.HIGHCHART_CHART_TEMPLATE, "container0", "Weighted Recall", modelConfig.getBasic().getName(), "Weighted Operation Point", "%", "false", "data_0", "data_0", fullName));
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_CHART_TEMPLATE, "container1", "Unit-wise Recall", modelConfig.getBasic().getName(), "Weighted Operation Point", "%", "false", "data_1", "data_1", fullName));
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_CHART_TEMPLATE, "container2", "Weighted Recall", modelConfig.getBasic().getName(), "Unit-wise Operation Point", "%", "false", "data_2", "data_2", fullName));
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_CHART_TEMPLATE, "container3", "Unit-wise Recall", modelConfig.getBasic().getName(), "Unit-wise Operation Point", "%", "false", "data_3", "data_3", fullName));
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_CHART_TEMPLATE, "container4", "Weighted Recall", modelConfig.getBasic().getName(), "Model Score", "", "true", "data_4", "data_4", fullName));
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_CHART_TEMPLATE, "container5", "Unit-wise Recall", modelConfig.getBasic().getName(), "Model Score", "", "true", "data_5", "data_5", fullName));
writer.write("\n");
writer.write(String.format(GainChartTemplate.SCORE_HIGHCHART_CHART_TEMPLATE, "container6", "Score Distribution", modelConfig.getBasic().getName(), "Model Score", "", "false", "data_6", "data_6", fullName));
writer.write("\n");
writer.write("});\n");
writer.write("\n");
writer.write("$(document).ready(function() {\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_LIST_TOGGLE_TEMPLATE, "lst0", "container0", "lst0"));
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_LIST_TOGGLE_TEMPLATE, "lst1", "container1", "lst1"));
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_LIST_TOGGLE_TEMPLATE, "lst2", "container2", "lst2"));
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_LIST_TOGGLE_TEMPLATE, "lst3", "container3", "lst3"));
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_LIST_TOGGLE_TEMPLATE, "lst4", "container4", "lst4"));
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_LIST_TOGGLE_TEMPLATE, "lst5", "container5", "lst5"));
writer.write("\n");
writer.write(String.format(GainChartTemplate.HIGHCHART_LIST_TOGGLE_TEMPLATE, "lst6", "container6", "lst6"));
writer.write("\n");
writer.write(" var ics = ['#container1','#container2', '#container4','#container5', '#container6'];\n");
writer.write(" var icl = ics.length;\n");
writer.write(" for (var i = 0; i < icl; i++) {\n");
writer.write(" $(ics[i]).toggleClass('show');\n");
writer.write(" $(ics[i]).toggleClass('hidden');\n");
writer.write(" $(ics[i]).toggleClass('ls_chosen');\n");
writer.write(" };\n");
writer.write("\n");
writer.write("});\n");
writer.write("\n");
writer.write("</script>\n");
writer.write(GainChartTemplate.HIGHCHART_BASE_END);
} finally {
if (writer != null) {
writer.close();
}
}
}
Also used :
PerformanceObject(ml.shifu.shifu.container.PerformanceObject)
BufferedWriter(java.io.BufferedWriter)
Example 9 with PerformanceObject
use of ml.shifu.shifu.container.PerformanceObject in project shifu by ShifuML.
the class ConfusionMatrix method buildFirstPO.
private PerformanceObject buildFirstPO(ConfusionMatrixObject prevCmo) {
PerformanceObject po = PerformanceEvaluator.setPerformanceObject(prevCmo);
// hit rate == NaN
po.precision = 1.0;
po.weightedPrecision = 1.0;
// lift = NaN
po.liftUnit = 0.0;
po.weightLiftUnit = 0.0;
po.binLowestScore = prevCmo.getScore();
return po;
}
Also used :
PerformanceObject(ml.shifu.shifu.container.PerformanceObject)
Example 10 with PerformanceObject
use of ml.shifu.shifu.container.PerformanceObject in project shifu by ShifuML.
the class ConfusionMatrix method bufferedComputeConfusionMatrixAndPerformance.
public PerformanceResult bufferedComputeConfusionMatrixAndPerformance(long pigPosTags, long pigNegTags, double pigPosWeightTags, double pigNegWeightTags, long records, double maxPScore, double minPScore, String scoreDataPath, String evalPerformancePath, boolean isPrint, boolean isGenerateChart, int targetColumnIndex, int scoreColumnIndex, int weightColumnIndex, boolean isUseMaxMinScore) throws IOException {
// 1. compute maxScore and minScore in case some cases score are not in [0, 1]
double maxScore = 1d * scoreScale, minScore = 0d;
if (isGBTNeedConvertScore()) {
// if need convert to [0, 1], just keep max score to 1 and min score to 0 without doing anything
} else {
if (isUseMaxMinScore) {
// TODO some cases maxPScore is already scaled, how to fix that issue
maxScore = maxPScore;
minScore = minPScore;
} else {
// otherwise, keep [0, 1]
}
}
LOG.info("{} Transformed (scale included) max score is {}, transformed min score is {}", evalConfig.getGbtScoreConvertStrategy(), maxScore, minScore);
SourceType sourceType = evalConfig.getDataSet().getSource();
List<Scanner> scanners = ShifuFileUtils.getDataScanners(scoreDataPath, sourceType);
LOG.info("Number of score files is {} in eval {}.", scanners.size(), evalConfig.getName());
int numBucket = evalConfig.getPerformanceBucketNum();
boolean hasWeight = StringUtils.isNotBlank(evalConfig.getDataSet().getWeightColumnName());
boolean isDir = ShifuFileUtils.isDir(pathFinder.getEvalScorePath(evalConfig, sourceType), sourceType);
List<PerformanceObject> FPRList = new ArrayList<PerformanceObject>(numBucket + 1);
List<PerformanceObject> catchRateList = new ArrayList<PerformanceObject>(numBucket + 1);
List<PerformanceObject> gainList = new ArrayList<PerformanceObject>(numBucket + 1);
List<PerformanceObject> modelScoreList = new ArrayList<PerformanceObject>(numBucket + 1);
List<PerformanceObject> FPRWeightList = new ArrayList<PerformanceObject>(numBucket + 1);
List<PerformanceObject> catchRateWeightList = new ArrayList<PerformanceObject>(numBucket + 1);
List<PerformanceObject> gainWeightList = new ArrayList<PerformanceObject>(numBucket + 1);
double binScore = (maxScore - minScore) * 1d / numBucket, binCapacity = 1.0 / numBucket, scoreBinCount = 0, scoreBinWeigthedCount = 0;
int fpBin = 1, tpBin = 1, gainBin = 1, fpWeightBin = 1, tpWeightBin = 1, gainWeightBin = 1, modelScoreBin = 1;
long index = 0, cnt = 0, invalidTargetCnt = 0, invalidWgtCnt = 0;
ConfusionMatrixObject prevCmo = buildInitalCmo(pigPosTags, pigNegTags, pigPosWeightTags, pigNegWeightTags, maxScore);
PerformanceObject po = buildFirstPO(prevCmo);
FPRList.add(po);
catchRateList.add(po);
gainList.add(po);
FPRWeightList.add(po);
catchRateWeightList.add(po);
gainWeightList.add(po);
modelScoreList.add(po);
boolean isGBTScoreHalfCutoffStreategy = isGBTScoreHalfCutoffStreategy();
boolean isGBTScoreMaxMinScaleStreategy = isGBTScoreMaxMinScaleStreategy();
Splitter splitter = Splitter.on(delimiter).trimResults();
for (Scanner scanner : scanners) {
while (scanner.hasNext()) {
if ((++cnt) % 100000L == 0L) {
LOG.info("Loaded {} records.", cnt);
}
if ((!isDir) && cnt == 1) {
// if the evaluation score file is the local file, skip the first line since we add
continue;
}
// score is separated by default delimiter in our pig output format
String[] raw = Lists.newArrayList(splitter.split(scanner.nextLine())).toArray(new String[0]);
// tag check
String tag = raw[targetColumnIndex];
if (StringUtils.isBlank(tag) || (!posTags.contains(tag) && !negTags.contains(tag))) {
invalidTargetCnt += 1;
continue;
}
double weight = 1d;
// if has weight
if (weightColumnIndex > 0) {
try {
weight = Double.parseDouble(raw[weightColumnIndex]);
} catch (NumberFormatException e) {
invalidWgtCnt += 1;
}
if (weight < 0d) {
invalidWgtCnt += 1;
weight = 1d;
}
}
double score = 0.0;
try {
score = Double.parseDouble(raw[scoreColumnIndex]);
} catch (NumberFormatException e) {
// user set the score column wrong ?
if (Math.random() < 0.05) {
LOG.warn("The score column - {} is not number. Is score column set correctly?", raw[scoreColumnIndex]);
}
continue;
}
scoreBinCount += 1;
scoreBinWeigthedCount += weight;
ConfusionMatrixObject cmo = new ConfusionMatrixObject(prevCmo);
if (posTags.contains(tag)) {
// Positive Instance
cmo.setTp(cmo.getTp() + 1);
cmo.setFn(cmo.getFn() - 1);
cmo.setWeightedTp(cmo.getWeightedTp() + weight * 1.0);
cmo.setWeightedFn(cmo.getWeightedFn() - weight * 1.0);
} else {
// Negative Instance
cmo.setFp(cmo.getFp() + 1);
cmo.setTn(cmo.getTn() - 1);
cmo.setWeightedFp(cmo.getWeightedFp() + weight * 1.0);
cmo.setWeightedTn(cmo.getWeightedTn() - weight * 1.0);
}
if (isGBTScoreHalfCutoffStreategy) {
// use max min scale to rescale to [0, 1]
if (score < 0d) {
score = 0d;
}
score = ((score - 0) * scoreScale) / (maxPScore - 0);
} else if (isGBTScoreMaxMinScaleStreategy) {
// use max min scaler to make score in [0, 1], don't foget to time scoreScale
score = ((score - minPScore) * scoreScale) / (maxPScore - minPScore);
} else {
// do nothing, use current score
}
cmo.setScore(Double.parseDouble(SCORE_FORMAT.format(score)));
ConfusionMatrixObject object = cmo;
po = PerformanceEvaluator.setPerformanceObject(object);
if (po.fpr >= fpBin * binCapacity) {
po.binNum = fpBin++;
FPRList.add(po);
}
if (po.recall >= tpBin * binCapacity) {
po.binNum = tpBin++;
catchRateList.add(po);
}
// prevent 99%
double validRecordCnt = (double) (index + 1);
if (validRecordCnt / (pigPosTags + pigNegTags) >= gainBin * binCapacity) {
po.binNum = gainBin++;
gainList.add(po);
}
if (po.weightedFpr >= fpWeightBin * binCapacity) {
po.binNum = fpWeightBin++;
FPRWeightList.add(po);
}
if (po.weightedRecall >= tpWeightBin * binCapacity) {
po.binNum = tpWeightBin++;
catchRateWeightList.add(po);
}
if ((object.getWeightedTp() + object.getWeightedFp()) / object.getWeightedTotal() >= gainWeightBin * binCapacity) {
po.binNum = gainWeightBin++;
gainWeightList.add(po);
}
if ((maxScore - (modelScoreBin * binScore)) >= score) {
po.binNum = modelScoreBin++;
po.scoreCount = scoreBinCount;
po.scoreWgtCount = scoreBinWeigthedCount;
// System.out.println("score count is " + scoreBinCount);
// reset to 0 for next bin score cnt stats
scoreBinCount = scoreBinWeigthedCount = 0;
modelScoreList.add(po);
}
index += 1;
prevCmo = cmo;
}
scanner.close();
}
LOG.info("Totally loading {} records with invalid target records {} and invalid weight records {} in eval {}.", cnt, invalidTargetCnt, invalidWgtCnt, evalConfig.getName());
PerformanceResult result = buildPerfResult(FPRList, catchRateList, gainList, modelScoreList, FPRWeightList, catchRateWeightList, gainWeightList);
synchronized (this.lock) {
if (isPrint) {
PerformanceEvaluator.logResult(FPRList, "Bucketing False Positive Rate");
if (hasWeight) {
PerformanceEvaluator.logResult(FPRWeightList, "Bucketing Weighted False Positive Rate");
}
PerformanceEvaluator.logResult(catchRateList, "Bucketing Catch Rate");
if (hasWeight) {
PerformanceEvaluator.logResult(catchRateWeightList, "Bucketing Weighted Catch Rate");
}
PerformanceEvaluator.logResult(gainList, "Bucketing Action Rate");
if (hasWeight) {
PerformanceEvaluator.logResult(gainWeightList, "Bucketing Weighted Action Rate");
}
PerformanceEvaluator.logAucResult(result, hasWeight);
}
writePerResult2File(evalPerformancePath, result);
if (isGenerateChart) {
generateChartAndJsonPerfFiles(hasWeight, result);
}
}
if (cnt == 0) {
LOG.error("No score read, the EvalScore did not genernate or is null file");
throw new ShifuException(ShifuErrorCode.ERROR_EVALSCORE);
}
return result;
}
Also used :
Scanner(java.util.Scanner)
Splitter(com.google.common.base.Splitter)
PerformanceObject(ml.shifu.shifu.container.PerformanceObject)
SourceType(ml.shifu.shifu.container.obj.RawSourceData.SourceType)
ArrayList(java.util.ArrayList)
ConfusionMatrixObject(ml.shifu.shifu.container.ConfusionMatrixObject)
PerformanceResult(ml.shifu.shifu.container.obj.PerformanceResult)
ShifuException(ml.shifu.shifu.exception.ShifuException)
Aggregations
PerformanceObject (ml.shifu.shifu.container.PerformanceObject)13
BufferedWriter (java.io.BufferedWriter)5
PerformanceResult (ml.shifu.shifu.container.obj.PerformanceResult)4
ArrayList (java.util.ArrayList)2
ConfusionMatrixObject (ml.shifu.shifu.container.ConfusionMatrixObject)2
Splitter (com.google.common.base.Splitter)1
DecimalFormat (java.text.DecimalFormat)1
Scanner (java.util.Scanner)1
SourceType (ml.shifu.shifu.container.obj.RawSourceData.SourceType)1
PerformanceExtractor (ml.shifu.shifu.core.eval.PerformanceExtractor)1
ShifuException (ml.shifu.shifu.exception.ShifuException)1
BeforeClass (org.testng.annotations.BeforeClass)1
Test (org.testng.annotations.Test)1
