Classification Problem
Hi,
I need some help for classification. I am trying to some file in three different class by using the same setup in the "04_TextTraining.xml" example, but when i am running this setup it is giving me this error and suggesting me to use "SVMWeighting" instate of "LibSVMLearner"
Error:
Total number of Support Vectors: 1558
Bias (offset): 0.990
Feature weight calculation only possible for two class learning problems. Please use the operator SVMWeighting instead.
number of classes: 3
number of support vectors for class graphics: 468
number of support vectors for class med: 543
number of support vectors for class space: 547
but when I am using SVMWeighting instate of LibSVMLearner whith "ModelWriter" at the end it is giving me an error
My set for experiment is:
Root[1] (Process)
+- TextInput[1] (TextInput)
| +- StringTokenizer[3266] (StringTokenizer)
| +- EnglishStopwordFilter[3266] (EnglishStopwordFilter)
| +- TokenLengthFilter[3266] (TokenLengthFilter)
| +- PorterStemmer[3266] (PorterStemmer)
+- SVMWeighting[1] (SVMWeighting)
+- ModelWriter[1] (ModelWriter)<<<error here
=========================================
Error in: ModelWriter (ModelWriter) The operator needs some input of type com.rapidminer.operator.Model which is not provided. Each operator defines which input is desired for applying this operator (these input objects are shown in operator info screen (F1)). Previous operators must load or produce the desired input objects. You can check the correct experiment setup by validating the experiment (via the icon or the menu item).
=========================================
After applying validation button on the menu bar:
G Apr 10, 2009 9:59:09 PM: [Error] ModelWriter: ModelWriter: ModelWriter: Missing input: Model >>>>>>(II already specify the path for the model)
G Apr 10, 2009 9:59:09 PM: [Error] There was 1 error.
==========================================
can some one explain what is happening and how to solve this problem. I am stuck here....please help me out!!!!
Cheers
I need some help for classification. I am trying to some file in three different class by using the same setup in the "04_TextTraining.xml" example, but when i am running this setup it is giving me this error and suggesting me to use "SVMWeighting" instate of "LibSVMLearner"
Error:
Total number of Support Vectors: 1558
Bias (offset): 0.990
Feature weight calculation only possible for two class learning problems. Please use the operator SVMWeighting instead.
number of classes: 3
number of support vectors for class graphics: 468
number of support vectors for class med: 543
number of support vectors for class space: 547
but when I am using SVMWeighting instate of LibSVMLearner whith "ModelWriter" at the end it is giving me an error
My set for experiment is:
Root[1] (Process)
+- TextInput[1] (TextInput)
| +- StringTokenizer[3266] (StringTokenizer)
| +- EnglishStopwordFilter[3266] (EnglishStopwordFilter)
| +- TokenLengthFilter[3266] (TokenLengthFilter)
| +- PorterStemmer[3266] (PorterStemmer)
+- SVMWeighting[1] (SVMWeighting)
+- ModelWriter[1] (ModelWriter)<<<error here
=========================================
Error in: ModelWriter (ModelWriter) The operator needs some input of type com.rapidminer.operator.Model which is not provided. Each operator defines which input is desired for applying this operator (these input objects are shown in operator info screen (F1)). Previous operators must load or produce the desired input objects. You can check the correct experiment setup by validating the experiment (via the icon or the menu item).
=========================================
After applying validation button on the menu bar:
G Apr 10, 2009 9:59:09 PM: [Error] ModelWriter: ModelWriter: ModelWriter: Missing input: Model >>>>>>(II already specify the path for the model)
G Apr 10, 2009 9:59:09 PM: [Error] There was 1 error.
==========================================
can some one explain what is happening and how to solve this problem. I am stuck here....please help me out!!!!
Cheers