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API-Definition
===================================================================
see http://opentox.org/dev/apis/api-1.1/Validation
API-Examples
===================================================================
how to
-------------------------------------------------------------------
the examples listed below can be performed with the command line tool curl
get list of available validations
-------------------------------------------------------------------
>>> curl <validation_service>
result example (accept-header: application/rdf-xml)
<<< not yet supported
result example (accept-header: text/uri-list)
<<< <validation_service>/<validation_id>
<<< <validation_service>/validation_id_i
<<< <validation_service>/validation_id_j
get validation
-------------------------------------------------------------------
>>> curl <validation_service>/<validation_id>
supported accept-headers: "text/x-yaml" and "application/rdf-xml"
validate model on test-dateset
-------------------------------------------------------------------
>>> curl -X POST -d model_uri="<model_uri>" \
-d test_dataset_uri="<test_dataset_uri>" \
-d prediction_feature="<prediction_feature>" \
<validation_service>
result example (accept-header: application/rdf-xml)
<<< not yet supported
result example (accept-header: text/uri-list)
<<< <validation_service>/id_i
validate an algorithm on a training- and test-dataset
-------------------------------------------------------------------
>>> curl -X POST -d algorithm_uri="<algorithm_uri>" \
-d training_dataset_uri="<training_dataset_uri>" \
-d test_dataset_uri="<test_dataset_uri>" \
-d prediction_feature="<prediction_feature>" \
-d algorithm_params="<algorithm_params>" \
<validation_service>
optional params:
algorithm_params, default is empty
result example (accept-header: application/rdf-xml)
<<< not yet supported
result example (accept-header: text/uri-list)
<<< <validation_service>/id_i
validate an algorithm on a dataset via training-test-split
-------------------------------------------------------------------
>>> curl -X POST -d algorithm_uri="<algorithm_uri>" \
-d dataset_uri="<dataset_uri>" \
-d prediction_feature="<prediction_feature>" \
-d algorithm_params="<algorithm_params>" \
-d split_ratio=0.9 \
-d random_seed=2 \
<validation_service>/training_test_split
optional params:
algorithm_params, default is empty
split_ratio, default is 0.67
random_seed, default is 1
result example (accept-header: application/rdf-xml)
<<< not yet supported
result example (accept-header: text/uri-list)
<<< <validation_service>/id_i
get list of available crossvalidations
-------------------------------------------------------------------
>>> curl <validation_service>/crossvalidation
result example (accept-header: application/rdf-xml)
<<< not yet supported
result example (accept-header: text/uri-list)
<<< <validation_service>/crossvalidation/<crossvalidation_id>
<<< <validation_service>/crossvalidation/crossvalidation_id_i
<<< <validation_service>/crossvalidation/crossvalidation_id_j
get crossvalidation
-------------------------------------------------------------------
>>> curl <validation_service>/crossvalidation/<crossvalidation_id>
supported accept-headers: "text/x-yaml" and "application/rdf-xml"
validate an algorithm on a dataset via crossvalidation
(may take a couple of minutes)
-------------------------------------------------------------------
>>> curl -X POST -d algorithm_uri="<algorithm_uri>" \
-d dataset_uri="<dataset_uri>" \
-d prediction_feature="<prediction_feature>" \
-d algorithm_params="<algorithm_params>" \
-d num_folds=5 \
-d random_seed=2 \
-d stratified=false \
<validation_service>/crossvalidation
optional params:
algorithm_params, default is empty
num_folds, default is 10
random_seed, default is 1
stratified, default is false
result example (accept-header: application/rdf-xml)
<<< not yet supported
result example (accept-header: text/uri-list)
<<< <validation_service>/crossvalidation/id_i
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