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Jimin Park
commited on
Commit
·
0605202
1
Parent(s):
19e44c2
kermitting soon
Browse files- util/app.py +2 -7
util/app.py
CHANGED
@@ -209,15 +209,10 @@ def predict_champion(player_opgg_url, *champions):
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try:
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if model is None:
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return "Model not loaded properly"
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print("============= Inside predict_champion(): Model loaded properly=================\n")
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training_df = get_user_training_df(player_opgg_url)
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print("============= Inside predict_champion(): =================\n")
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print("training_df type: ", type(training_df), "\n training_df: \n", training_df , "\n")
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print("=============== Inside predict_champion =================== \n")
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training_df = convert_df(training_df)
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training_df = apply_feature_engineering(training_df)
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@@ -228,8 +223,8 @@ def predict_champion(player_opgg_url, *champions):
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target_column='champion',
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stratify_columns=['champion', 'region'],
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min_samples_per_class=5,
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-
train_size=0,
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val_size=
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random_state=42
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)
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print("type(X_test): ", type(X_test), "\n")
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try:
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if model is None:
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return "Model not loaded properly"
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training_df = get_user_training_df(player_opgg_url)
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print("training_df type: ", type(training_df), "\n training_df: \n", training_df , "\n")
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training_df = convert_df(training_df)
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training_df = apply_feature_engineering(training_df)
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target_column='champion',
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stratify_columns=['champion', 'region'],
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min_samples_per_class=5,
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+
train_size=0.6,
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+
val_size=0.2,
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random_state=42
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)
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print("type(X_test): ", type(X_test), "\n")
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