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Tighten up psf/black and flake8 (#2024)

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* Tighten up psf/black and flake8

* Fix some tests

* Fix some E741

* Fix some E741

* updating DIRECTORY.md

Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
This commit is contained in:
Christian Clauss
2020-05-22 08:10:11 +02:00
committed by GitHub
co-authored by github-actions
parent 21ed8968c0
commit 1f8a21d727
124 changed files with 583 additions and 495 deletions
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machine_learning/linear_discriminant_analysis.py
+3 -2
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@@ -186,7 +186,8 @@ def predict_y_values(
>>> means = [5.011267842911003, 10.011267842911003, 15.011267842911002]
>>> variance = 0.9618530973487494
>>> probabilities = [0.3333333333333333, 0.3333333333333333, 0.3333333333333333]
>>> predict_y_values(x_items, means, variance, probabilities) # doctest: +NORMALIZE_WHITESPACE
>>> predict_y_values(x_items, means, variance,
... probabilities) # doctest: +NORMALIZE_WHITESPACE
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2]
@@ -211,7 +212,7 @@ def predict_y_values(
# appending discriminant values of each item to 'results' list
results.append(temp)
return [l.index(max(l)) for l in results]
return [result.index(max(result)) for result in results]
# Calculating Accuracy