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Fix
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mr-perseus committed Dec 2, 2023
1 parent a6ccf5a commit ac6ac9c
Showing 1 changed file with 10 additions and 7 deletions.
17 changes: 10 additions & 7 deletions model/W&B_PPSG_LSTM.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -418,21 +418,24 @@
"execution_count": null,
"outputs": [],
"source": [
"def inverse_transform(scaler, df, columns):\n",
" for col in columns:\n",
" df[col] = scaler.inverse_transform(df[col])\n",
" return df\n",
"def inverse_scaler(scaler, df_output, df_target):\n",
" output = scaler.inverse_transform(df_output)\n",
" target = scaler.inverse_transform(df_target)\n",
" \n",
" df_output = pd.DataFrame(output, columns=parking_data_labels)\n",
" df_target = pd.DataFrame(target, columns=parking_data_labels)\n",
" \n",
" return df_output, df_target\n",
"\n",
"def plot_test_prediction(scaler, outputs, targets):\n",
" outputs = inverse_transform(scaler, pd.DataFrame(np.concatenate(outputs)), parking_data_labels)\n",
" targets = inverse_transform(scaler, pd.DataFrame(np.concatenate(targets)), parking_data_labels)\n",
"\n",
" for i, (output, target) in enumerate(zip(outputs, targets)):\n",
" if i % 10 != 0:\n",
" continue\n",
"\n",
" df_output = pd.DataFrame(output, columns=parking_data_labels)\n",
" df_target = pd.DataFrame(target, columns=parking_data_labels)\n",
" \n",
" df_output, df_target = inverse_scaler(scaler, df_output, df_target)\n",
"\n",
" n_features = len(df_output.columns)\n",
"\n",
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