Before start a modeling task, the data to be used should be uploaded. Typically, a party is usually a cluster which include multiple nodes. Thus, when we upload these data, the data will be allocated to those nodes.
Data IO module accepts the following input data format and transforms them to desired output DTable.
- dense input format, input DTable's value item is a list of single element (e.g. "1.0,2.0,3.0,4.5")
- svm-light input format, first item of input DTable's value is label, following by a list of complex "feature_id:value" items (e.g. value is "1 1:0.5 2:0.6")
- tag input format, the input DTable's value is a list of tag, data io 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".)
- tag:value input format, the input DTable's value is a list of tag:value, like a mixed svm-light and tag input-format. data io 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".)
Here is an example showing how to create a upload config file:
{
"file": "examples/data/breast_b.csv",
"head": 1,
"partition": 10,
"work_mode": 0,
"table_name": "hetero_breast_b",
"namespace": "hetero_guest_breast"
}
Field Specifications:
- file: file path
- head: Specify whether your data file include a header or not
- partition: Specify how many partitions used to store the data
- local: Specify your current party info
- table_name & namespace: Indicators for stored data table.
We use fate-flow to upload data. The command is as follows:
python ${your_install_path}/fate_flow/fate_flow_client.py -f upload -c dsl_test/upload_data.json
Note: This step is needed for every data-provide node(i.e. Guest and Host).
After running this command, the following information is shown if it is success.
{
"data": {
"namespace": "breast_hetero",
"pid": 74684,
"table_name": "breast_b"
},
"jobId": "20190801152750392991_436",
"meta": null,
"retcode": 0,
"retmsg": "success",
"created_at": "2019-08-01 15:27:50"
}
And as this output shown, the table_name and namespace has been list which can be taken as input config in submit-runtime conf.