public void checkModelType() throws IOException { String modelType = readUTF(); switch (modelType) { case "Perceptron": delegateModelReader = new PerceptronModelReader(this.dataReader); break; case "GIS": delegateModelReader = new GISModelReader(this.dataReader); break; case "QN": delegateModelReader = new QNModelReader(this.dataReader); break; case "NaiveBayes": delegateModelReader = new NaiveBayesModelReader(this.dataReader); break; default: throw new IOException("Unknown model format: " + modelType); } }
readInt(); readDouble(); String[] outcomeLabels = getOutcomes(); int[][] outcomePatterns = getOutcomePatterns(); String[] predLabels = getPredicates(); Context[] params = getParameters(outcomePatterns); return new GISModel(params, predLabels, outcomeLabels);
public void checkModelType() throws java.io.IOException { String modelType = readUTF(); if (!modelType.equals("GIS")) System.out.println("Error: attempting to load a " + modelType + " model as a GIS model." + " You should expect problems."); } }
readInt(); readDouble(); String[] outcomeLabels = getOutcomes(); int[][] outcomePatterns = getOutcomePatterns(); String[] predLabels = getPredicates(); Context[] params = getParameters(outcomePatterns); return new GISModel(params, predLabels, outcomeLabels);
public void checkModelType() throws java.io.IOException { String modelType = readUTF(); if (!modelType.equals("GIS")) System.out.println("Error: attempting to load a " + modelType + " model as a GIS model." + " You should expect problems."); } }
public void checkModelType() throws IOException { String modelType = readUTF(); switch (modelType) { case "Perceptron": delegateModelReader = new PerceptronModelReader(this.dataReader); break; case "GIS": delegateModelReader = new GISModelReader(this.dataReader); break; case "QN": delegateModelReader = new QNModelReader(this.dataReader); break; case "NaiveBayes": delegateModelReader = new NaiveBayesModelReader(this.dataReader); break; default: throw new IOException("Unknown model format: " + modelType); } }
readInt(); readDouble(); String[] outcomeLabels = getOutcomes(); int[][] outcomePatterns = getOutcomePatterns(); String[] predLabels = getPredicates(); Context[] params = getParameters(outcomePatterns); return new GISModel(params, predLabels, outcomeLabels);
public void checkModelType() throws java.io.IOException { String modelType = readUTF(); if (!modelType.equals("GIS")) System.out.println("Error: attempting to load a " + modelType + " model as a GIS model." + " You should expect problems."); } }
public void checkModelType() throws IOException { String modelType = readUTF(); switch (modelType) { case "Perceptron": delegateModelReader = new PerceptronModelReader(this.dataReader); break; case "GIS": delegateModelReader = new GISModelReader(this.dataReader); break; case "QN": delegateModelReader = new QNModelReader(this.dataReader); break; case "NaiveBayes": delegateModelReader = new NaiveBayesModelReader(this.dataReader); break; default: throw new IOException("Unknown model format: " + modelType); } }