def cv_run_workflow(self):
"""Execute workflow for individual run, consisting of the following tasks: 1) Execute overridden :meth:`on_run_start`
tasks, 2) Initialize and fit Model, 3) Execute overridden :meth:`on_run_end` tasks"""
self.on_run_start()
self.model = model_selector(self.model_initializer)(
self.model_initializer, self.model_init_params, self.model_extra_params,
train_input=self.fold_train_input, train_target=self.fold_train_target,
validation_input=self.fold_validation_input, validation_target=self.fold_validation_target,
do_predict_proba=self.do_predict_proba, target_metric=self.target_metric, metrics_map=self.metrics_map,
)
self.model.fit()
self.on_run_end()
def cv_run_workflow(self):
"""Execute run workflow, consisting of: 1) Execute overridden :meth:`on_run_start` tasks,
2) Initialize and fit Model, 3) Execute overridden :meth:`on_run_end` tasks"""
self.on_run_start()
self.model = model_selector(self.model_initializer)(
self.model_initializer,
self.model_init_params,
self.model_extra_params,
train_input=self.data_train.input.T.fold,
train_target=self.data_train.target.T.fold,
validation_input=self.data_oof.input.T.fold,
validation_target=self.data_oof.target.T.fold,
do_predict_proba=self.do_predict_proba,
target_metric=self.target_metric,
metrics=self.metrics,
)
self.model.fit()
self.on_run_end()
def test_model_selector(initializer, model_cls):
assert model_selector(initializer) == model_cls