A text format where each line represents a labeled feature vector using the following format:
label index1:value1 index2:value1 index3:value3 ...
- label
- type: Int
- when the input is training data, it is the label of the data point; for binary classification, a label should be {0, 1}; for multiclass classification, labels should be class indices starting from zero: {0, 1, ..., n}
- when the input is test data, it is the index of the data point
- index:value
- represents the feature's index-value pair, where index type is Int and value type is Double
- feature index starts from 0
- For Angel's libsvm type, index starts from 0, which is different from the conventional practice where the libsvm index starts from 1
# libsvm example
1 1:0.5 3:3.1 7:1.0
0 2:0.1 3:2.3 5:2.0
1 4:0.2 7:1.1 9:0.0
....
A text format where each line represents a labeled feature vector, separated by , using the following format:
label,index1,index2,index3
- label
- type: Int
- when the input is training data, it is the label of the data point; for binary classification, a label should be {0, 1}; for multiclass classification, labels should be class indices starting from zero: {0, 1, ..., n}
- when the input is test data, it is the index of the data point
- index
- type: Int/Long
- feature index, starting from 0
- represents the indices of features that are 1 (unrepresented features are 0)
# dummy type example
0,3,7,999,666
1,0,2,88,77
...