Data Transform is the most basic component of Fate Algorithm module. It transforms the input Table to a Table whose values are Instance Object defined here, and what's more, the transformed table is the input data format of all other algorithm module, such as intersect、 homo LR and hetero LR、SecureBoost and so on.
Data IO module accepts the following input data format and transforms them to desired output Table.
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dense input format
input Table's value item is a list of single element, e.g. :1.0,2.0,3.0,4.5 1.1,2.1,3.4,1.3 2.4,6.3,1.5,9.0
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svm-light input format
first item of input Table's value is label, following by a list of complex "feature_id:value" items, e.g. :1 1:0.5 2:0.6 0 1:0.7 3:0.8 5:0.2
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tag input format
the input Table's value is a list of tag, data transform module first aggregates all tags occurred in input table, then changes all input line to one-hot representation in sorting the occurred tags by lexicographic order, e.g. assume values is :a c a b d
after processing, the new values became: :
1 0 1 0 1 1 0 1
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:tag:value input format: the input Table's value is a list of tag:value, like a mixed svm-light and tag input-format. data transform module first aggregates all tags occurred in input table, then changes all input line to one-hot representation in sorting the occurred tags by lexicographic order, then fill the occur item with value. e.g. assume values is
a:0.2 c:1.5 a:0.3 b:0.6 d:0.7
after processing, the new values became: :
0.2 0 0.5 0 0.3 0.6 0 0.7
- Missing value impute, provides ["mean", "designated", "min", "max"] methods to impute missing value
- Outlier value replace, also provides several outlier replace method like missing value impute.
- Parameters of data meta should be set when uploading or binding data since FATE-v1.9.0, refer to upload guides please.