High-risk tools in Sktime
6 of the 24 tools in Sktime are classified as high risk. This page profiles those tools specifically, with recommended policy actions and the attack patterns that target them.
Every operation listed below is an action PolicyLayer recommends controlling at the transport layer. Open any tool to see the full profile, risk score, and YAML policy snippet.
Tools at high risk
-
evaluate_estimatorExecuteEvaluate an estimator using cross-validation on a dataset
-
fit_predictExecuteFit an estimator and generate predictions.
-
fit_predict_asyncExecuteFit an estimator and generate predictions in the background.
-
fit_predict_classificationExecuteFit a time series classifier on training data and predict class labels on test data. Use with classification estimators like RocketClassifier, HIVECOTEV2, etc.
-
fit_predict_regressionExecuteFit a time series regressor on training data and predict continuous target values on test data. Use with regression estimators like TimeSeriesForestRegressor, etc.
-
instantiate_estimatorExecuteCreate an estimator instance with given parameters
Attacks that target this class
High-risk tools in any server share these documented attack patterns. Each links to the full case and the defensive policy.