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System save at 22/09/2025 17:07 by user_client2024

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user_client2024 2025-09-22 11:37:11 +00:00
parent c225002c18
commit bdac4bc553
3 changed files with 9 additions and 9 deletions
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6
.ipynb_checkpoints/main-checkpoint.ipynb
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@ -41,14 +41,14 @@
" non_alerting = df.loc[~df.index.isin(alerting.index)].copy()\n", " non_alerting = df.loc[~df.index.isin(alerting.index)].copy()\n",
"\n", "\n",
" # Assign SAR_Flag = 'N' for non-alerting\n", " # Assign SAR_Flag = 'N' for non-alerting\n",
" non_alerting['SAR_Flag'] = 'N'\n", " non_alerting['SAR_FLAG'] = 'N'\n",
"\n", "\n",
" # Assign SAR_Flag for alerting data\n", " # Assign SAR_Flag for alerting data\n",
" alerting['SAR_Flag'] = 'N'\n", " alerting['SAR_FLAG'] = 'N'\n",
" n_y = int(len(alerting) * 0.1) # 10% count\n", " n_y = int(len(alerting) * 0.1) # 10% count\n",
" if n_y > 0:\n", " if n_y > 0:\n",
" y_indices = alerting.sample(n=n_y, random_state=random_state).index\n", " y_indices = alerting.sample(n=n_y, random_state=random_state).index\n",
" alerting.loc[y_indices, 'SAR_Flag'] = 'Y'\n", " alerting.loc[y_indices, 'SAR_FLAG'] = 'Y'\n",
"\n", "\n",
" # Merge back and preserve original order\n", " # Merge back and preserve original order\n",
" final_df = pd.concat([alerting, non_alerting]).sort_index()\n", " final_df = pd.concat([alerting, non_alerting]).sort_index()\n",

6
main.ipynb
View File

@ -41,14 +41,14 @@
" non_alerting = df.loc[~df.index.isin(alerting.index)].copy()\n", " non_alerting = df.loc[~df.index.isin(alerting.index)].copy()\n",
"\n", "\n",
" # Assign SAR_Flag = 'N' for non-alerting\n", " # Assign SAR_Flag = 'N' for non-alerting\n",
" non_alerting['SAR_Flag'] = 'N'\n", " non_alerting['SAR_FLAG'] = 'N'\n",
"\n", "\n",
" # Assign SAR_Flag for alerting data\n", " # Assign SAR_Flag for alerting data\n",
" alerting['SAR_Flag'] = 'N'\n", " alerting['SAR_FLAG'] = 'N'\n",
" n_y = int(len(alerting) * 0.1) # 10% count\n", " n_y = int(len(alerting) * 0.1) # 10% count\n",
" if n_y > 0:\n", " if n_y > 0:\n",
" y_indices = alerting.sample(n=n_y, random_state=random_state).index\n", " y_indices = alerting.sample(n=n_y, random_state=random_state).index\n",
" alerting.loc[y_indices, 'SAR_Flag'] = 'Y'\n", " alerting.loc[y_indices, 'SAR_FLAG'] = 'Y'\n",
"\n", "\n",
" # Merge back and preserve original order\n", " # Merge back and preserve original order\n",
" final_df = pd.concat([alerting, non_alerting]).sort_index()\n", " final_df = pd.concat([alerting, non_alerting]).sort_index()\n",

6
main.py
View File

@ -38,14 +38,14 @@ def apply_sar_flag(df, var1, var2, var3, random_state=42):
non_alerting = df.loc[~df.index.isin(alerting.index)].copy() non_alerting = df.loc[~df.index.isin(alerting.index)].copy()
# Assign SAR_Flag = 'N' for non-alerting # Assign SAR_Flag = 'N' for non-alerting
non_alerting['SAR_Flag'] = 'N' non_alerting['SAR_FLAG'] = 'N'
# Assign SAR_Flag for alerting data # Assign SAR_Flag for alerting data
alerting['SAR_Flag'] = 'N' alerting['SAR_FLAG'] = 'N'
n_y = int(len(alerting) * 0.1) # 10% count n_y = int(len(alerting) * 0.1) # 10% count
if n_y > 0: if n_y > 0:
y_indices = alerting.sample(n=n_y, random_state=random_state).index y_indices = alerting.sample(n=n_y, random_state=random_state).index
alerting.loc[y_indices, 'SAR_Flag'] = 'Y' alerting.loc[y_indices, 'SAR_FLAG'] = 'Y'
# Merge back and preserve original order # Merge back and preserve original order
final_df = pd.concat([alerting, non_alerting]).sort_index() final_df = pd.concat([alerting, non_alerting]).sort_index()