fix
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2
model.py
2
model.py
@ -8,7 +8,7 @@ from tensorflow.keras.models import Sequential
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from tensorflow.keras.layers import Dense
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import tensorflow as tf
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data = pd.read_csv('./openpowerlifting.csv')
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data = pd.read_csv('./data/train.csv')
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data = data[['Sex', 'Age', 'BodyweightKg', 'TotalKg']].dropna()
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27
script1.sh
27
script1.sh
@ -1,11 +1,31 @@
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##!/bin/bash
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#pip install kaggle
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#kaggle datasets download -d open-powerlifting/powerlifting-database
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#unzip -o powerlifting-database.zip
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#DATASET_FILE="openpowerlifting.csv"
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#echo "Obcięte wiersze: ${1}"
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#head -n $1 $DATASET_FILE > cutoff_$DATASET_FILE
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#echo "Podział i wymieszanie"
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#total_lines=$(tail -n +2 cutoff_$DATASET_FILE | wc -l)
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#train_lines=$((total_lines * 90 / 100))
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#dev_lines=$((total_lines * 10 / 100))
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#test_lines=$((total_lines - train_lines - dev_lines))
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#shuf cutoff_$DATASET_FILE -o shuffled.csv
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#head -n $train_lines shuffled.csv > train.csv
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#tail -n $((dev_lines + test_lines)) shuffled.csv | head -n $dev_lines > dev.csv
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#tail -n $test_lines shuffled.csv > test.csv
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#mkdir -p data
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#mv train.csv dev.csv test.csv data/
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#!/bin/bash
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pip install kaggle
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kaggle datasets download -d open-powerlifting/powerlifting-database
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unzip -o powerlifting-database.zip
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DATASET_FILE="openpowerlifting.csv"
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echo "Obcięte wiersze: ${1}"
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column_names=$(head -n 1 $DATASET_FILE)
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echo "Truncated rows: ${1}"
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head -n $1 $DATASET_FILE > cutoff_$DATASET_FILE
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echo "Podział i wymieszanie"
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echo "$column_names" > temp && cat cutoff_$DATASET_FILE >> temp && mv temp cutoff_$DATASET_FILE
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total_lines=$(tail -n +2 cutoff_$DATASET_FILE | wc -l)
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train_lines=$((total_lines * 90 / 100))
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dev_lines=$((total_lines * 10 / 100))
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@ -15,4 +35,7 @@ head -n $train_lines shuffled.csv > train.csv
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tail -n $((dev_lines + test_lines)) shuffled.csv | head -n $dev_lines > dev.csv
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tail -n $test_lines shuffled.csv > test.csv
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mkdir -p data
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echo "$column_names" | cat - train.csv > temp && mv temp train.csv
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echo "$column_names" | cat - dev.csv > temp && mv temp dev.csv
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echo "$column_names" | cat - test.csv > temp && mv temp test.csv
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mv train.csv dev.csv test.csv data/
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