To train your model you need a CSV file containing an example for each row.
Each example can contain a set of fields, some mandatory some optional. The index, staring from 0, of the fields in the record can be communicated to EZClassifier model train command with a set of command options
If the index of the fileld doe not exists in the record or the field format is not a valid value, the default value is used:
| field name | field description | required | type | default value | field index |
|---|---|---|---|---|---|
| prototype | a text that exemplifies a typical element in the category specified in the second field | YES | String | N.A. | –prototype-index=0 |
| class | a short text that represent a category name | YES | String | N.A. | –class-index=1 |
| weight | a multiplicative factor for predicted similarity | NO | positive real number | 1.0 | –weight-index |
| bias | a additive value factor for predicted similarity | NO | real number | 0.0 | –bias-index |
If an header raw is present, please do not forget to use the --header option in model train command
Here is an example of a model trainig file to find strings about cats:
prototype, class, weight, bias
"Persian Cat: Known for their long, luxurious fur and sweet temperament, Persian cats are one of the most popular breeds", cat
"siamese animal", cat, 0.8
"from siam", cat, 0.8, -0.5
In this example:
- the first row is the header (to be discarded using -H option during model training)
- the second row assumes a weight = 1.0 and a bias = 0.0
- the third row assumes a weight = 8.8 and a bias = 0.0
- the fourth row assumes a weight = 8.8 and a bias = -0.5