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[pre-commit.ci] pre-commit autoupdate (#11380)

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* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.3.7 → v0.4.1](https://github.com/astral-sh/ruff-pre-commit/compare/v0.3.7...v0.4.1)
- [github.com/tox-dev/pyproject-fmt: 1.7.0 → 1.8.0](https://github.com/tox-dev/pyproject-fmt/compare/1.7.0...1.8.0)

* from keras import layers, models

* Update lstm_prediction.py

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Christian Clauss <cclauss@me.com>
This commit is contained in:
pre-commit-ci[bot] 2024-04-22 21:43:19 +02:00 committed by GitHub
parent 2702bf9400
commit dbfa21813f
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3 changed files with 5 additions and 5 deletions
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4
.pre-commit-config.yaml
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@ -16,7 +16,7 @@ repos:
- id: auto-walrus - id: auto-walrus
- repo: https://github.com/astral-sh/ruff-pre-commit - repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.3.7 rev: v0.4.1
hooks: hooks:
- id: ruff - id: ruff
- id: ruff-format - id: ruff-format
@ -29,7 +29,7 @@ repos:
- tomli - tomli
- repo: https://github.com/tox-dev/pyproject-fmt - repo: https://github.com/tox-dev/pyproject-fmt
rev: "1.7.0" rev: "1.8.0"
hooks: hooks:
- id: pyproject-fmt - id: pyproject-fmt

2
computer_vision/cnn_classification.py
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@ -25,7 +25,7 @@ import numpy as np
# Importing the Keras libraries and packages # Importing the Keras libraries and packages
import tensorflow as tf import tensorflow as tf
from tensorflow.keras import layers, models from keras import layers, models
if __name__ == "__main__": if __name__ == "__main__":
# Initialising the CNN # Initialising the CNN

4
machine_learning/lstm/lstm_prediction.py
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@ -7,9 +7,9 @@ An LSTM is a type of Recurrent Neural Network (RNN) as discussed at:
import numpy as np import numpy as np
import pandas as pd import pandas as pd
from keras.layers import LSTM, Dense
from keras.models import Sequential
from sklearn.preprocessing import MinMaxScaler from sklearn.preprocessing import MinMaxScaler
from tensorflow.keras.layers import LSTM, Dense
from tensorflow.keras.models import Sequential
if __name__ == "__main__": if __name__ == "__main__":
""" """