Angel Data Types

1 libsvm

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 1, similar to libsvm' style

# 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
    ....

2 dummy

A text format where each line represents a labeled feature vector, separated by (space) 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
  ...

Note: if the row splitor is not (space), you can specify a splitor (say ",") by using the following option:

ml.data.splitor=,

For multi-class problem, such as softmax regression, angel require the labels start from 0, while for binary classification problom, the labels are required +1 and -1. As a result, a transform may be reqired.

• ml.data.label.trans.class: specify a transfrom class, by default "NoTrans", other options such as "ZeroOneTrans"(0-1), "PosNegTrans"(+1, -1), "AddOneTrans", "SubOneTrans" are also available.
• ml.data.label.trans.threshold: for "ZeroOneTrans" and "PosNegTrans" a threshold is require to trans labels, if the label is large than the threshold, yeild 1. the default threshold is 0