Mercurial > repos > goeckslab > pycaret_compare
annotate base_model_trainer.py @ 4:4aa511539199 draft default tip
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
author | goeckslab |
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date | Tue, 03 Jun 2025 19:31:16 +0000 |
parents | 02f7746e7772 |
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rev | line source |
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915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
diff
changeset
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1 import base64 |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
diff
changeset
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2 import logging |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
diff
changeset
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3 import os |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
diff
changeset
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4 import tempfile |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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5 |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
diff
changeset
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6 import h5py |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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7 import joblib |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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8 import numpy as np |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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changeset
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9 import pandas as pd |
4
4aa511539199
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
goeckslab
parents:
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10 from feature_importance import FeatureImportanceAnalyzer |
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915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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11 from sklearn.metrics import average_precision_score |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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12 from utils import get_html_closing, get_html_template |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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13 |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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14 logging.basicConfig(level=logging.DEBUG) |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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15 LOG = logging.getLogger(__name__) |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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16 |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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17 |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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18 class BaseModelTrainer: |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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19 |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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20 def __init__( |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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21 self, |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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22 input_file, |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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changeset
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23 target_col, |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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24 output_dir, |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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changeset
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25 task_type, |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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26 random_seed, |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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changeset
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27 test_file=None, |
4
4aa511539199
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
goeckslab
parents:
3
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28 **kwargs): |
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915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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29 self.exp = None # This will be set in the subclass |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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changeset
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30 self.input_file = input_file |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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changeset
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31 self.target_col = target_col |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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changeset
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32 self.output_dir = output_dir |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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33 self.task_type = task_type |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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34 self.random_seed = random_seed |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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changeset
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35 self.data = None |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
diff
changeset
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36 self.target = None |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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changeset
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37 self.best_model = None |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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38 self.results = None |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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changeset
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39 self.features_name = None |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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40 self.plots = {} |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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changeset
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41 self.expaliner = None |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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42 self.plots_explainer_html = None |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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43 self.trees = [] |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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44 for key, value in kwargs.items(): |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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45 setattr(self, key, value) |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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46 self.setup_params = {} |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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47 self.test_file = test_file |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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changeset
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48 self.test_data = None |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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49 |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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50 LOG.info(f"Model kwargs: {self.__dict__}") |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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51 |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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52 def load_data(self): |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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53 LOG.info(f"Loading data from {self.input_file}") |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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54 self.data = pd.read_csv(self.input_file, sep=None, engine='python') |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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55 self.data.columns = self.data.columns.str.replace('.', '_') |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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56 |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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57 numeric_cols = self.data.select_dtypes(include=['number']).columns |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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58 non_numeric_cols = self.data.select_dtypes(exclude=['number']).columns |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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59 |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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60 self.data[numeric_cols] = self.data[numeric_cols].apply( |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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61 pd.to_numeric, errors='coerce') |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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62 |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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63 if len(non_numeric_cols) > 0: |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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64 LOG.info(f"Non-numeric columns found: {non_numeric_cols.tolist()}") |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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65 |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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66 names = self.data.columns.to_list() |
4
4aa511539199
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
goeckslab
parents:
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67 target_index = int(self.target_col) - 1 |
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915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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68 self.target = names[target_index] |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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69 self.features_name = [name |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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70 for i, name in enumerate(names) |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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71 if i != target_index] |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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72 if hasattr(self, 'missing_value_strategy'): |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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73 if self.missing_value_strategy == 'mean': |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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74 self.data = self.data.fillna( |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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75 self.data.mean(numeric_only=True)) |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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76 elif self.missing_value_strategy == 'median': |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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changeset
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77 self.data = self.data.fillna( |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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78 self.data.median(numeric_only=True)) |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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79 elif self.missing_value_strategy == 'drop': |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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80 self.data = self.data.dropna() |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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81 else: |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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82 # Default strategy if not specified |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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changeset
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83 self.data = self.data.fillna(self.data.median(numeric_only=True)) |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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84 |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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85 if self.test_file: |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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86 LOG.info(f"Loading test data from {self.test_file}") |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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87 self.test_data = pd.read_csv( |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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88 self.test_file, sep=None, engine='python') |
915447b14520
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
goeckslab
parents:
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89 self.test_data = self.test_data[numeric_cols].apply( |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
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90 pd.to_numeric, errors='coerce') |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
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91 self.test_data.columns = self.test_data.columns.str.replace( |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
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92 '.', '_' |
4
4aa511539199
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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diff
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|
93 ) |
0
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94 |
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95 def setup_pycaret(self): |
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96 LOG.info("Initializing PyCaret") |
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97 self.setup_params = { |
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98 'target': self.target, |
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99 'session_id': self.random_seed, |
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100 'html': True, |
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101 'log_experiment': False, |
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102 'system_log': False, |
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103 'index': False, |
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104 } |
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105 |
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106 if self.test_data is not None: |
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107 self.setup_params['test_data'] = self.test_data |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
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108 |
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109 if hasattr(self, 'train_size') and self.train_size is not None \ |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
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110 and self.test_data is None: |
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111 self.setup_params['train_size'] = self.train_size |
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112 |
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113 if hasattr(self, 'normalize') and self.normalize is not None: |
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114 self.setup_params['normalize'] = self.normalize |
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115 |
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116 if hasattr(self, 'feature_selection') and \ |
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117 self.feature_selection is not None: |
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118 self.setup_params['feature_selection'] = self.feature_selection |
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119 |
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120 if hasattr(self, 'cross_validation') and \ |
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121 self.cross_validation is not None \ |
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122 and self.cross_validation is False: |
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123 self.setup_params['cross_validation'] = self.cross_validation |
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124 |
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125 if hasattr(self, 'cross_validation') and \ |
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126 self.cross_validation is not None: |
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127 if hasattr(self, 'cross_validation_folds'): |
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128 self.setup_params['fold'] = self.cross_validation_folds |
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129 |
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130 if hasattr(self, 'remove_outliers') and \ |
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131 self.remove_outliers is not None: |
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132 self.setup_params['remove_outliers'] = self.remove_outliers |
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133 |
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134 if hasattr(self, 'remove_multicollinearity') and \ |
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135 self.remove_multicollinearity is not None: |
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136 self.setup_params['remove_multicollinearity'] = \ |
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137 self.remove_multicollinearity |
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138 |
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139 if hasattr(self, 'polynomial_features') and \ |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
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140 self.polynomial_features is not None: |
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141 self.setup_params['polynomial_features'] = self.polynomial_features |
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142 |
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143 if hasattr(self, 'fix_imbalance') and \ |
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144 self.fix_imbalance is not None: |
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145 self.setup_params['fix_imbalance'] = self.fix_imbalance |
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146 |
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147 LOG.info(self.setup_params) |
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148 self.exp.setup(self.data, **self.setup_params) |
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149 |
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150 def train_model(self): |
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151 LOG.info("Training and selecting the best model") |
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152 if self.task_type == "classification": |
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153 average_displayed = "Weighted" |
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154 self.exp.add_metric(id=f'PR-AUC-{average_displayed}', |
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155 name=f'PR-AUC-{average_displayed}', |
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156 target='pred_proba', |
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157 score_func=average_precision_score, |
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158 average='weighted' |
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|
159 ) |
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160 |
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161 if hasattr(self, 'models') and self.models is not None: |
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162 self.best_model = self.exp.compare_models( |
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163 include=self.models) |
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164 else: |
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165 self.best_model = self.exp.compare_models() |
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166 self.results = self.exp.pull() |
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167 if self.task_type == "classification": |
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168 self.results.rename(columns={'AUC': 'ROC-AUC'}, inplace=True) |
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169 |
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170 _ = self.exp.predict_model(self.best_model) |
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171 self.test_result_df = self.exp.pull() |
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172 if self.task_type == "classification": |
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173 self.test_result_df.rename( |
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174 columns={'AUC': 'ROC-AUC'}, inplace=True) |
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175 |
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176 def save_model(self): |
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177 hdf5_model_path = "pycaret_model.h5" |
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178 with h5py.File(hdf5_model_path, 'w') as f: |
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179 with tempfile.NamedTemporaryFile(delete=False) as temp_file: |
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180 joblib.dump(self.best_model, temp_file.name) |
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181 temp_file.seek(0) |
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182 model_bytes = temp_file.read() |
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183 f.create_dataset('model', data=np.void(model_bytes)) |
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184 |
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185 def generate_plots(self): |
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186 raise NotImplementedError("Subclasses should implement this method") |
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187 |
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188 def encode_image_to_base64(self, img_path): |
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189 with open(img_path, 'rb') as img_file: |
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190 return base64.b64encode(img_file.read()).decode('utf-8') |
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191 |
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192 def save_html_report(self): |
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193 LOG.info("Saving HTML report") |
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194 |
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195 model_name = type(self.best_model).__name__ |
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196 excluded_params = ['html', 'log_experiment', 'system_log', 'test_data'] |
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197 filtered_setup_params = { |
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198 k: v |
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199 for k, v in self.setup_params.items() if k not in excluded_params |
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200 } |
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201 setup_params_table = pd.DataFrame( |
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202 list(filtered_setup_params.items()), columns=['Parameter', 'Value'] |
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203 ) |
0
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204 |
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205 best_model_params = pd.DataFrame( |
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206 self.best_model.get_params().items(), |
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207 columns=['Parameter', 'Value'] |
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208 ) |
0
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209 best_model_params.to_csv( |
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210 os.path.join(self.output_dir, "best_model.csv"), index=False |
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211 ) |
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212 self.results.to_csv( |
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213 os.path.join(self.output_dir, "comparison_results.csv") |
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214 ) |
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215 self.test_result_df.to_csv( |
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216 os.path.join(self.output_dir, "test_results.csv") |
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217 ) |
0
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218 |
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219 plots_html = "" |
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220 length = len(self.plots) |
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221 for i, (plot_name, plot_path) in enumerate(self.plots.items()): |
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222 encoded_image = self.encode_image_to_base64(plot_path) |
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223 plots_html += f""" |
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224 <div class="plot"> |
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225 <h3>{plot_name.capitalize()}</h3> |
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226 <img src="data:image/png;base64,{encoded_image}" |
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227 alt="{plot_name}"> |
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228 </div> |
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229 """ |
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230 if i < length - 1: |
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231 plots_html += "<hr>" |
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232 |
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233 tree_plots = "" |
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234 for i, tree in enumerate(self.trees): |
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235 if tree: |
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236 tree_plots += f""" |
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237 <div class="plot"> |
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238 <h3>Tree {i+1}</h3> |
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239 <img src="data:image/png;base64, |
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240 {tree}" |
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241 alt="tree {i+1}"> |
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242 </div> |
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243 """ |
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244 |
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245 analyzer = FeatureImportanceAnalyzer( |
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246 data=self.data, |
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247 target_col=self.target_col, |
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248 task_type=self.task_type, |
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249 output_dir=self.output_dir, |
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250 ) |
0
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251 feature_importance_html = analyzer.run() |
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252 |
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253 html_content = f""" |
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254 {get_html_template()} |
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255 <h1>PyCaret Model Training Report</h1> |
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256 <div class="tabs"> |
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257 <div class="tab" onclick="openTab(event, 'summary')"> |
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258 Setup & Best Model</div> |
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259 <div class="tab" onclick="openTab(event, 'plots')"> |
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260 Best Model Plots</div> |
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261 <div class="tab" onclick="openTab(event, 'feature')"> |
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262 Feature Importance</div> |
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263 """ |
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264 if self.plots_explainer_html: |
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265 html_content += """ |
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266 <div class="tab" onclick="openTab(event, 'explainer')"> |
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267 Explainer Plots</div> |
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268 """ |
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269 html_content += f""" |
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270 </div> |
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271 <div id="summary" class="tab-content"> |
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272 <h2>Setup Parameters</h2> |
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273 {setup_params_table.to_html( |
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274 index=False, |
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275 header=True, |
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276 classes='table sortable' |
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277 )} |
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278 <h5>If you want to know all the experiment setup parameters, |
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279 please check the PyCaret documentation for |
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280 the classification/regression <code>exp</code> function.</h5> |
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281 <h2>Best Model: {model_name}</h2> |
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282 {best_model_params.to_html( |
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283 index=False, |
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284 header=True, |
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285 classes='table sortable' |
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286 )} |
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287 <h2>Comparison Results on the Cross-Validation Set</h2> |
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288 {self.results.to_html(index=False, classes='table sortable')} |
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289 <h2>Results on the Test Set for the best model</h2> |
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290 {self.test_result_df.to_html( |
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291 index=False, |
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292 classes='table sortable' |
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293 )} |
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294 </div> |
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295 <div id="plots" class="tab-content"> |
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296 <h2>Best Model Plots on the testing set</h2> |
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297 {plots_html} |
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298 </div> |
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299 <div id="feature" class="tab-content"> |
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300 {feature_importance_html} |
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301 </div> |
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302 """ |
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303 if self.plots_explainer_html: |
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304 html_content += f""" |
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305 <div id="explainer" class="tab-content"> |
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306 {self.plots_explainer_html} |
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307 {tree_plots} |
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308 </div> |
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309 """ |
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310 html_content += """ |
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311 <script> |
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312 document.addEventListener("DOMContentLoaded", function() { |
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313 var tables = document.querySelectorAll("table.sortable"); |
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314 tables.forEach(function(table) { |
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315 var headers = table.querySelectorAll("th"); |
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316 headers.forEach(function(header, index) { |
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317 header.style.cursor = "pointer"; |
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318 // Add initial arrow (up) to indicate sortability |
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319 header.innerHTML += '<span class="sort-arrow"> ↑</span>'; |
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320 header.addEventListener("click", function() { |
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321 var direction = this.getAttribute( |
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322 "data-sort-direction" |
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323 ) || "asc"; |
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324 // Reset arrows in all headers of this table |
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325 headers.forEach(function(h) { |
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326 var arrow = h.querySelector(".sort-arrow"); |
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327 if (arrow) arrow.textContent = " ↑"; |
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328 }); |
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329 // Set arrow for clicked header |
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330 var arrow = this.querySelector(".sort-arrow"); |
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331 arrow.textContent = direction === "asc" ? " ↓" : " ↑"; |
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332 sortTable(table, index, direction); |
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333 this.setAttribute("data-sort-direction", |
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334 direction === "asc" ? "desc" : "asc"); |
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335 }); |
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336 }); |
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337 }); |
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338 }); |
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339 |
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340 function sortTable(table, colNum, direction) { |
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341 var tb = table.tBodies[0]; |
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342 var tr = Array.prototype.slice.call(tb.rows, 0); |
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343 var multiplier = direction === "asc" ? 1 : -1; |
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344 tr = tr.sort(function(a, b) { |
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345 var aText = a.cells[colNum].textContent.trim(); |
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346 var bText = b.cells[colNum].textContent.trim(); |
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347 // Remove arrow from text comparison |
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348 aText = aText.replace(/[↑↓]/g, '').trim(); |
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349 bText = bText.replace(/[↑↓]/g, '').trim(); |
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350 if (!isNaN(aText) && !isNaN(bText)) { |
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351 return multiplier * ( |
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352 parseFloat(aText) - parseFloat(bText) |
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353 ); |
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354 } else { |
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355 return multiplier * aText.localeCompare(bText); |
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356 } |
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357 }); |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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358 for (var i = 0; i < tr.length; ++i) tb.appendChild(tr[i]); |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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359 } |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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360 </script> |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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361 """ |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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362 html_content += f""" |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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363 {get_html_closing()} |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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364 """ |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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365 with open( |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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366 os.path.join(self.output_dir, "comparison_result.html"), |
4aa511539199
planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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367 "w" |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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368 ) as file: |
0
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
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369 file.write(html_content) |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
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370 |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
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371 def save_dashboard(self): |
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372 raise NotImplementedError("Subclasses should implement this method") |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
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373 |
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374 def generate_plots_explainer(self): |
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375 raise NotImplementedError("Subclasses should implement this method") |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
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376 |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
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377 # not working now |
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378 def generate_tree_plots(self): |
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379 from sklearn.ensemble import RandomForestClassifier, \ |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
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380 RandomForestRegressor |
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381 from xgboost import XGBClassifier, XGBRegressor |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
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382 from explainerdashboard.explainers import RandomForestExplainer |
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383 |
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384 LOG.info("Generating tree plots") |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
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385 X_test = self.exp.X_test_transformed.copy() |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
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386 y_test = self.exp.y_test_transformed |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
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387 |
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388 is_rf = isinstance(self.best_model, RandomForestClassifier) or \ |
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planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit d79b0f722b7d09505a526d1a4332f87e548a3df1
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389 isinstance(self.best_model, RandomForestRegressor) |
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390 |
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391 is_xgb = isinstance(self.best_model, XGBClassifier) or \ |
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392 isinstance(self.best_model, XGBRegressor) |
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393 |
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394 try: |
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395 if is_rf: |
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396 num_trees = self.best_model.n_estimators |
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397 if is_xgb: |
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398 num_trees = len(self.best_model.get_booster().get_dump()) |
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399 explainer = RandomForestExplainer(self.best_model, X_test, y_test) |
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400 for i in range(num_trees): |
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401 fig = explainer.decisiontree_encoded(tree_idx=i, index=0) |
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402 LOG.info(f"Tree {i+1}") |
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403 LOG.info(fig) |
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404 self.trees.append(fig) |
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405 except Exception as e: |
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406 LOG.error(f"Error generating tree plots: {e}") |
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407 |
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408 def run(self): |
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409 self.load_data() |
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410 self.setup_pycaret() |
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411 self.train_model() |
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412 self.save_model() |
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413 self.generate_plots() |
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414 self.generate_plots_explainer() |
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415 self.generate_tree_plots() |
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416 self.save_html_report() |
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417 # self.save_dashboard() |