a650861b1b244fd99dfaf55bcff942508043717e,src/main/java/weka/filters/pyscript/PyScriptFilter.java,PyScriptFilter,determineOutputFormat,#Instances#,146

Before Change


		    
		    // ok now filter
		    // m_session.executeScript("args['X'] = args['X_train'][0:1]\nargs['y'] = args['y_train'][0:1]\n", getDebug());
		    m_session.executeScript("import numpy as np; args['X'] = np.ones((0,0));\n", getDebug());
		    driver = "arff = cls.process(args, model)";
		    executeScript(driver, "An error happened while executing the process() function:");
		    

After Change


		    if(data.classIndex() >= 0) {
		    	m_session.executeScript("args['y_train'] = Y\n", getDebug());
		    } else {
		    	m_session.executeScript(
			    	String.format("args['y_train'] = np.zeros((%d,0))", data.numInstances()), getDebug());
		    }
		    
		    // build the classifier
		    driver = "model = cls.train(args)";	    
		    executeScript(driver, "An error happened while executing the train() function:");
		    
		    // save model parameters
		    m_pickledModel = m_session.getVariableValueFromPythonAsPickledObject("model", getDebug());
		    
		    // ok now filter
		    // m_session.executeScript("args['X'] = args['X_train'][0:1]\nargs['y'] = args['y_train'][0:1]\n", getDebug());
		    m_session.executeScript("import numpy as np; args['X'] = args['y'] = np.zeros((0,0));\n", getDebug());
		    driver = "new_args = cls.process(args, model)";    
		    executeScript(driver, "An error happened while executing the process() function:");