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fix(Config): set remove_overlapping_events=True (#246)

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* fix(Config): set remove_overlapping_events=True

* fix(Config): only use level_1 features

* feat(Config): added get_minimal_config
This commit is contained in:
Mark Aron Szulyovszky
2022-03-15 17:39:39 +01:00
committed by GitHub
parent d0c519dc5b
commit 0395715fa1
3 changed files with 45 additions and 6 deletions
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tests/test_evaluation.py
+2 -2
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@@ -1,6 +1,6 @@
import numpy as np
import pandas as pd
from training.walk_forward import walk_forward_train, walk_forward_inference
from training.walk_forward import walk_forward_train, walk_forward_inference_batched
from models.base import Model
from utils.evaluate import evaluate_predictions
from sklearn.base import BaseEstimator, ClassifierMixin
@@ -74,7 +74,7 @@ def test_evaluation():
from_index=None,
transformations_over_time=[],
)
predictions, _ = walk_forward_inference(
predictions, _ = walk_forward_inference_batched(
model_name="test",
model_over_time=model_over_time,
transformations_over_time=[],
tests/test_walk_forward.py
+2 -2
View File
@@ -1,6 +1,6 @@
import numpy as np
import pandas as pd
from training.walk_forward import walk_forward_train, walk_forward_inference
from training.walk_forward import walk_forward_train, walk_forward_inference_batched
from models.base import Model
from sklearn.base import BaseEstimator, ClassifierMixin
@@ -70,7 +70,7 @@ def test_walk_forward_train_test():
from_index=None,
transformations_over_time=[],
)
predictions, _ = walk_forward_inference(
predictions, _ = walk_forward_inference_batched(
model_name="test",
model_over_time=model_over_time,
transformations_over_time=[],