From 6bd25812673ad207f436e8fda534db16d072118e Mon Sep 17 00:00:00 2001 From: Lopa10ko Date: Wed, 17 Jul 2024 12:09:47 +0300 Subject: [PATCH] temp: add workaround for poor output_mode passing --- tests/integration/repository/test_pipeline_tuning.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/tests/integration/repository/test_pipeline_tuning.py b/tests/integration/repository/test_pipeline_tuning.py index 868680ab4..d894315be 100644 --- a/tests/integration/repository/test_pipeline_tuning.py +++ b/tests/integration/repository/test_pipeline_tuning.py @@ -1,6 +1,7 @@ import pytest from fedot.api.main import Fedot +from fedot_ind.core.architecture.settings.computational import backend_methods as np from fedot.core.composer.metrics import F1 from fedot.core.pipelines.pipeline_builder import PipelineBuilder from fedot.core.pipelines.tuning.tuner_builder import TunerBuilder @@ -15,12 +16,16 @@ def test_fedot_multi_series(): with IndustrialModels(): train_data, test_data = initialize_multi_data() pipeline = PipelineBuilder() \ - .add_node('eigen_basis', params={'window_size': None}) \ + .add_node('eigen_basis') \ .add_node('quantile_extractor') \ .add_node('rf') \ .build() pipeline.fit(train_data) predict = pipeline.predict(test_data, output_mode='labels') + # TODO: output_mode doesn't affect predict form + # TODO: remove temp workaround with argmax + if test_data.target.shape != predict.predict.shape: + predict.predict = np.argmax(predict.predict, axis=1) print(F1.metric(test_data, predict))