Encog training data input size is 0 but calculated input size is 5
Just as the title suggests I am receiving the error "The machine learning method has an input length of 5, but the training data has 0. They must be the same." because my input size is 0 for the training data, but the calculated input size is 5 (this is correct). The code used for reading the csv file and storing it as a dataset:
//Get file path.
var path = System.IO.Path.GetDirectoryName(System.Reflection.Assembly.GetExecutingAssembly().GetName().CodeBase);
path = path.Replace("file:\", "");
IVersatileDataSource source = new CSVDataSource(path + @"enpcsv.csv", false, CSVFormat.DecimalPoint);
//Setup training dataset.
var data = new VersatileMLDataSet(source);
data.DefineSourceColumn("A", 0, ColumnType.Continuous);
data.DefineSourceColumn("B", 1, ColumnType.Continuous);
data.DefineSourceColumn("C", 2, ColumnType.Continuous);
data.DefineSourceColumn("D", 3, ColumnType.Continuous);
data.DefineSourceColumn("E", 4, ColumnType.Continuous);
ColumnDefinition outputColumn = data.DefineSourceColumn("F", 5, ColumnType.Nominal);
data.Analyze();
data.DefineSingleOutputOthersInput(outputColumn);
data.Normalize();
//Setup network
BasicNetwork network = new BasicNetwork();
network.AddLayer(new BasicLayer(null, true, 5)); //Input.
network.AddLayer(new BasicLayer(new ActivationSigmoid(), true, 10)); //Hidden.
network.AddLayer(new BasicLayer(new ActivationSigmoid(), false, 1)); //Output.
network.Structure.FinalizeStructure();
network.Reset();
//Train.
IMLTrain learner = new Backpropagation(network, data);
Another point may be that similar to the input size the ideal size is 0 but the calculated ideal size is 6 which should not be the case as I have set one ideal. I have seen one solution to this problem where they are saving the dataset as a csv and then reading it again: Encog :"The Machine Learning Method has an input length of 7, but the training has 0" error
This seems like poor practice so I am looking to see if someone knows another solution or can call out an error in my code, thanks for your time.
c# machine-learning neural-network artificial-intelligence encog
asked Nov 14 '18 at 20:04
HelloPleaseHelpHelloPleaseHelp
34
add a comment |
Just as the title suggests I am receiving the error "The machine learning method has an input length of 5, but the training data has 0. They must be the same." because my input size is 0 for the training data, but the calculated input size is 5 (this is correct). The code used for reading the csv file and storing it as a dataset:
//Get file path.
var path = System.IO.Path.GetDirectoryName(System.Reflection.Assembly.GetExecutingAssembly().GetName().CodeBase);
path = path.Replace("file:\", "");
IVersatileDataSource source = new CSVDataSource(path + @"enpcsv.csv", false, CSVFormat.DecimalPoint);
//Setup training dataset.
var data = new VersatileMLDataSet(source);
data.DefineSourceColumn("A", 0, ColumnType.Continuous);
data.DefineSourceColumn("B", 1, ColumnType.Continuous);
data.DefineSourceColumn("C", 2, ColumnType.Continuous);
data.DefineSourceColumn("D", 3, ColumnType.Continuous);
data.DefineSourceColumn("E", 4, ColumnType.Continuous);
ColumnDefinition outputColumn = data.DefineSourceColumn("F", 5, ColumnType.Nominal);
data.Analyze();
data.DefineSingleOutputOthersInput(outputColumn);
data.Normalize();
//Setup network
BasicNetwork network = new BasicNetwork();
network.AddLayer(new BasicLayer(null, true, 5)); //Input.
network.AddLayer(new BasicLayer(new ActivationSigmoid(), true, 10)); //Hidden.
network.AddLayer(new BasicLayer(new ActivationSigmoid(), false, 1)); //Output.
network.Structure.FinalizeStructure();
network.Reset();
//Train.
IMLTrain learner = new Backpropagation(network, data);
Another point may be that similar to the input size the ideal size is 0 but the calculated ideal size is 6 which should not be the case as I have set one ideal. I have seen one solution to this problem where they are saving the dataset as a csv and then reading it again: Encog :"The Machine Learning Method has an input length of 7, but the training has 0" error
This seems like poor practice so I am looking to see if someone knows another solution or can call out an error in my code, thanks for your time.
c# machine-learning neural-network artificial-intelligence encog
asked Nov 14 '18 at 20:04
HelloPleaseHelpHelloPleaseHelp
34
add a comment |
Just as the title suggests I am receiving the error "The machine learning method has an input length of 5, but the training data has 0. They must be the same." because my input size is 0 for the training data, but the calculated input size is 5 (this is correct). The code used for reading the csv file and storing it as a dataset:
//Get file path.
var path = System.IO.Path.GetDirectoryName(System.Reflection.Assembly.GetExecutingAssembly().GetName().CodeBase);
path = path.Replace("file:\", "");
IVersatileDataSource source = new CSVDataSource(path + @"enpcsv.csv", false, CSVFormat.DecimalPoint);
//Setup training dataset.
var data = new VersatileMLDataSet(source);
data.DefineSourceColumn("A", 0, ColumnType.Continuous);
data.DefineSourceColumn("B", 1, ColumnType.Continuous);
data.DefineSourceColumn("C", 2, ColumnType.Continuous);
data.DefineSourceColumn("D", 3, ColumnType.Continuous);
data.DefineSourceColumn("E", 4, ColumnType.Continuous);
ColumnDefinition outputColumn = data.DefineSourceColumn("F", 5, ColumnType.Nominal);
data.Analyze();
data.DefineSingleOutputOthersInput(outputColumn);
data.Normalize();
//Setup network
BasicNetwork network = new BasicNetwork();
network.AddLayer(new BasicLayer(null, true, 5)); //Input.
network.AddLayer(new BasicLayer(new ActivationSigmoid(), true, 10)); //Hidden.
network.AddLayer(new BasicLayer(new ActivationSigmoid(), false, 1)); //Output.
network.Structure.FinalizeStructure();
network.Reset();
//Train.
IMLTrain learner = new Backpropagation(network, data);
Another point may be that similar to the input size the ideal size is 0 but the calculated ideal size is 6 which should not be the case as I have set one ideal. I have seen one solution to this problem where they are saving the dataset as a csv and then reading it again: Encog :"The Machine Learning Method has an input length of 7, but the training has 0" error
This seems like poor practice so I am looking to see if someone knows another solution or can call out an error in my code, thanks for your time.
c# machine-learning neural-network artificial-intelligence encog
asked Nov 14 '18 at 20:04
HelloPleaseHelpHelloPleaseHelp
34
Just as the title suggests I am receiving the error "The machine learning method has an input length of 5, but the training data has 0. They must be the same." because my input size is 0 for the training data, but the calculated input size is 5 (this is correct). The code used for reading the csv file and storing it as a dataset:
//Get file path.
var path = System.IO.Path.GetDirectoryName(System.Reflection.Assembly.GetExecutingAssembly().GetName().CodeBase);
path = path.Replace("file:\", "");
IVersatileDataSource source = new CSVDataSource(path + @"enpcsv.csv", false, CSVFormat.DecimalPoint);
//Setup training dataset.
var data = new VersatileMLDataSet(source);
data.DefineSourceColumn("A", 0, ColumnType.Continuous);
data.DefineSourceColumn("B", 1, ColumnType.Continuous);
data.DefineSourceColumn("C", 2, ColumnType.Continuous);
data.DefineSourceColumn("D", 3, ColumnType.Continuous);
data.DefineSourceColumn("E", 4, ColumnType.Continuous);
ColumnDefinition outputColumn = data.DefineSourceColumn("F", 5, ColumnType.Nominal);
data.Analyze();
data.DefineSingleOutputOthersInput(outputColumn);
data.Normalize();
//Setup network
BasicNetwork network = new BasicNetwork();
network.AddLayer(new BasicLayer(null, true, 5)); //Input.
network.AddLayer(new BasicLayer(new ActivationSigmoid(), true, 10)); //Hidden.
network.AddLayer(new BasicLayer(new ActivationSigmoid(), false, 1)); //Output.
network.Structure.FinalizeStructure();
network.Reset();
//Train.
IMLTrain learner = new Backpropagation(network, data);
Another point may be that similar to the input size the ideal size is 0 but the calculated ideal size is 6 which should not be the case as I have set one ideal. I have seen one solution to this problem where they are saving the dataset as a csv and then reading it again: Encog :"The Machine Learning Method has an input length of 7, but the training has 0" error
This seems like poor practice so I am looking to see if someone knows another solution or can call out an error in my code, thanks for your time.
c# machine-learning neural-network artificial-intelligence encog
c# machine-learning neural-network artificial-intelligence encog
asked Nov 14 '18 at 20:04
HelloPleaseHelpHelloPleaseHelp
34
asked Nov 14 '18 at 20:04
HelloPleaseHelpHelloPleaseHelp
34
asked Nov 14 '18 at 20:04
HelloPleaseHelpHelloPleaseHelp
34
asked Nov 14 '18 at 20:04
HelloPleaseHelpHelloPleaseHelp
34
asked Nov 14 '18 at 20:04
HelloPleaseHelpHelloPleaseHelp
34
34
add a comment |
add a comment |
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