Hello, Mr. Author, I am planning to perform a multi-objective regression analysis task. Based on smile, I plan to bind target variables and feature variables one by one to conduct linear regression analysis and achieve multi-objective regression. I'm having a few problems at the moment, my feature variable is coalProduction and my target variable is every variable in targetColumns, here's my source code(I'm using version 3.1.1):
DataFrame df= Read.csv("coalta.csv");
String[] targetColumns = {"drainage","industrialUsage","domesticUsage","waterTreatment","waterStorage","discharge"};
StringBuilder result = new StringBuilder();
for (String targetColumn : targetColumns) {
Formula formula = Formula.of(targetColumn,"coalProduction");
LinearModel ols = OLS.fit(formula, df);
result.append("Model for ").append(targetColumn).append(":\n")
.append("Coefficients: ").append(Arrays.toString(ols.coefficients())).append("\n")
.append("Intercept: ").append(ols.intercept()).append("\n\n");
}
System.out.println(result.toString());
The following is my error：
Exception in thread "main" java.lang.IllegalArgumentException: Field coalProduction doesn't exist
at smile.data.type.StructType.indexOf(StructType.java:103)
at smile.data.formula.Variable$1.<init>(Variable.java:80)
at smile.data.formula.Variable.bind(Variable.java:78)
at smile.data.formula.Formula.lambda$bind$12(Formula.java:348)
at java.util.stream.ReferencePipeline$7$1.accept(ReferencePipeline.java:267)
at java.util.stream.ReferencePipeline$2$1.accept(ReferencePipeline.java:175)
at java.util.Spliterators$ArraySpliterator.forEachRemaining(Spliterators.java:948)
at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:482)
at java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:472)
at java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:708)
at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)
at java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:499)
at smile.data.formula.Formula.bind(Formula.java:349)
at smile.regression.OLS.fit(OLS.java:121)
at smile.regression.OLS.fit(OLS.java:106)
at smile.regression.OLS.fit(OLS.java:85)
at com.smile.LinerR.main(LinerR.java:31)
After testing, my object file reads in normally, containing the feature variable coalProduction. So I don't understand this error.
The following is the part of my input file
coalProduction,drainage,industrialUsage,domesticUsage,waterTreatment,waterStorage,discharge
1000,200,150,80,60,70,90
1010,202,152,82,62,72,92
1020,205,155,85,64,74,94
Hello, Mr. Author, I am planning to perform a multi-objective regression analysis task. Based on smile, I plan to bind target variables and feature variables one by one to conduct linear regression analysis and achieve multi-objective regression. I'm having a few problems at the moment, my feature variable is coalProduction and my target variable is every variable in targetColumns, here's my source code(I'm using version 3.1.1):
DataFrame df= Read.csv("coalta.csv"); String[] targetColumns = {"drainage","industrialUsage","domesticUsage","waterTreatment","waterStorage","discharge"}; StringBuilder result = new StringBuilder(); for (String targetColumn : targetColumns) { Formula formula = Formula.of(targetColumn,"coalProduction"); LinearModel ols = OLS.fit(formula, df); result.append("Model for ").append(targetColumn).append(":\n") .append("Coefficients: ").append(Arrays.toString(ols.coefficients())).append("\n") .append("Intercept: ").append(ols.intercept()).append("\n\n"); } System.out.println(result.toString());
The following is my error：
After testing, my object file reads in normally, containing the feature variable coalProduction. So I don't understand this error. The following is the part of my input file coalProduction,drainage,industrialUsage,domesticUsage,waterTreatment,waterStorage,discharge 1000,200,150,80,60,70,90 1010,202,152,82,62,72,92 1020,205,155,85,64,74,94
I would appreciate any help from the author team!