Mercurial > repos > goeckslab > multimodal_learner
annotate multimodal_learner.py @ 6:871957823d0c draft default tip
planemo upload for repository https://github.com/goeckslab/gleam.git commit 6e49ad44dd8572382ee203926690a30d7e888203
| author | goeckslab |
|---|---|
| date | Mon, 26 Jan 2026 18:44:07 +0000 |
| parents | 975512caae22 |
| children |
| rev | line source |
|---|---|
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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1 #!/usr/bin/env python |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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2 """ |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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3 Main entrypoint for AutoGluon multimodal training wrapper. |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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4 """ |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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5 |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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6 import argparse |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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7 import logging |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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8 import os |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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9 import sys |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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10 from typing import List, Optional |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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11 |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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12 import pandas as pd |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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13 from metrics_logic import aggregate_metrics |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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14 from plot_logic import infer_problem_type |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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15 from report_utils import write_outputs |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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16 from sklearn.model_selection import KFold, StratifiedKFold |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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17 from split_logic import split_dataset |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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18 from test_pipeline import run_autogluon_test_experiment |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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19 from training_pipeline import autogluon_hyperparameters, handle_missing_images, run_autogluon_experiment |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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20 # ------------------------------------------------------------------ |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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21 # Local imports (your split utilities) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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22 # ------------------------------------------------------------------ |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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23 from utils import ( |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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24 absolute_path_expander, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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25 enable_deterministic_mode, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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26 enable_tensor_cores_if_available, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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27 ensure_local_tmp, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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28 load_file, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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29 prepare_image_search_dirs, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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30 set_seeds, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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31 str2bool, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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32 ) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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33 |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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34 # ------------------------------------------------------------------ |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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35 # Logger setup |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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36 # ------------------------------------------------------------------ |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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37 logger = logging.getLogger(__name__) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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38 |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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39 |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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40 # ------------------------------------------------------------------ |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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41 # Argument parsing (unchanged from your original, only minor fixes) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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42 # ------------------------------------------------------------------ |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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43 def parse_args(argv=None): |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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44 parser = argparse.ArgumentParser(description="Train & report an AutoGluon model") |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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45 |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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46 parser.add_argument("--input_csv_train", dest="train_dataset", required=True) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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47 parser.add_argument("--input_csv_test", dest="test_dataset", default=None) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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48 parser.add_argument("--target_column", required=True) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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49 parser.add_argument("--output_json", default="results.json") |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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50 parser.add_argument("--output_html", default="report.html") |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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51 parser.add_argument("--output_config", default=None) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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52 parser.add_argument("--images_zip", nargs="*", default=None, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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53 help="One or more ZIP files that contain image assets") |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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54 parser.add_argument("--missing_image_strategy", default="false", |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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55 help="true/false: remove rows with missing images or use placeholder") |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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56 parser.add_argument("--threshold", type=float, default=None) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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57 parser.add_argument("--time_limit", type=int, default=None) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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58 parser.add_argument("--deterministic", action="store_true", default=False, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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59 help="Enable deterministic algorithms to reduce run-to-run variance") |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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60 parser.add_argument("--random_seed", type=int, default=42) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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61 parser.add_argument("--cross_validation", type=str, default="false") |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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62 parser.add_argument("--num_folds", type=int, default=5) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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63 parser.add_argument("--epochs", type=int, default=None) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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64 parser.add_argument("--learning_rate", type=float, default=None) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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65 parser.add_argument("--batch_size", type=int, default=None) |
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6
871957823d0c
planemo upload for repository https://github.com/goeckslab/gleam.git commit 6e49ad44dd8572382ee203926690a30d7e888203
goeckslab
parents:
5
diff
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66 parser.add_argument("--num_workers", type=int, default=None, |
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871957823d0c
planemo upload for repository https://github.com/goeckslab/gleam.git commit 6e49ad44dd8572382ee203926690a30d7e888203
goeckslab
parents:
5
diff
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67 help="DataLoader worker count (0 disables multiprocessing).") |
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871957823d0c
planemo upload for repository https://github.com/goeckslab/gleam.git commit 6e49ad44dd8572382ee203926690a30d7e888203
goeckslab
parents:
5
diff
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68 parser.add_argument("--num_workers_eval", type=int, default=None, |
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871957823d0c
planemo upload for repository https://github.com/goeckslab/gleam.git commit 6e49ad44dd8572382ee203926690a30d7e888203
goeckslab
parents:
5
diff
changeset
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69 help="DataLoader workers for evaluation; defaults to --num_workers.") |
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0
375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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70 parser.add_argument("--backbone_image", type=str, default="swin_base_patch4_window7_224") |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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71 parser.add_argument("--backbone_text", type=str, default="microsoft/deberta-v3-base") |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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72 parser.add_argument("--validation_size", type=float, default=0.2) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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73 parser.add_argument("--split_probabilities", type=float, nargs=3, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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74 default=[0.7, 0.1, 0.2], metavar=("train", "val", "test")) |
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3
25bb80df7c0c
planemo upload for repository https://github.com/goeckslab/gleam.git commit f0daa5846b336584c708d88f6d7f1b5ee8dc3093
goeckslab
parents:
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75 parser.add_argument("--sample_id_column", default=None) |
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0
375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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76 parser.add_argument("--preset", choices=["medium_quality", "high_quality", "best_quality"], |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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77 default="medium_quality") |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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78 parser.add_argument("--eval_metric", default="roc_auc") |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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79 parser.add_argument("--hyperparameters", default=None) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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80 |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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81 args, unknown = parser.parse_known_args(argv) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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82 if unknown: |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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83 logger.warning("Ignoring unknown CLI tokens: %s", unknown) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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84 |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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85 # -------------------------- Validation -------------------------- |
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86 if not (0.0 <= args.validation_size <= 1.0): |
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planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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87 parser.error("--validation_size must be in [0, 1]") |
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88 if len(args.split_probabilities) != 3 or abs(sum(args.split_probabilities) - 1.0) > 1e-6: |
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89 parser.error("--split_probabilities must be three numbers summing to 1.0") |
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90 if args.cross_validation.lower() == "true" and (args.num_folds < 2): |
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91 parser.error("--num_folds must be >= 2 when --cross_validation is true") |
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92 |
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93 return args |
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94 |
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375c36923da1
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95 |
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96 def run_cross_validation( |
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97 args, |
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98 df_full: pd.DataFrame, |
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99 test_dataset: Optional[pd.DataFrame], |
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100 image_cols: List[str], |
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101 ag_config: dict, |
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102 ): |
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103 """Cross-validation loop returning aggregated metrics and last predictor.""" |
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104 df_full = df_full.drop(columns=["split"], errors="ignore") |
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105 y = df_full[args.target_column] |
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106 try: |
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107 use_stratified = y.dtype == object or y.nunique() <= 20 |
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108 except Exception: |
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109 use_stratified = False |
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110 |
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3
25bb80df7c0c
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111 if args.sample_id_column and args.sample_id_column in df_full.columns: |
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112 groups = df_full[args.sample_id_column] |
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113 if use_stratified: |
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114 try: |
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115 from sklearn.model_selection import StratifiedGroupKFold |
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116 |
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117 kf = StratifiedGroupKFold( |
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118 n_splits=int(args.num_folds), |
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119 shuffle=True, |
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120 random_state=int(args.random_seed), |
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121 ) |
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122 except Exception as exc: |
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123 logger.warning( |
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124 "StratifiedGroupKFold unavailable (%s); falling back to GroupKFold.", |
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125 exc, |
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126 ) |
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127 from sklearn.model_selection import GroupKFold |
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128 |
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129 kf = GroupKFold(n_splits=int(args.num_folds)) |
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130 use_stratified = False |
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25bb80df7c0c
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131 else: |
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132 from sklearn.model_selection import GroupKFold |
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133 |
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134 kf = GroupKFold(n_splits=int(args.num_folds)) |
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135 else: |
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136 kf = StratifiedKFold(n_splits=int(args.num_folds), shuffle=True, random_state=int(args.random_seed)) if use_stratified else KFold(n_splits=int(args.num_folds), shuffle=True, random_state=int(args.random_seed)) |
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25bb80df7c0c
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137 |
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138 if args.sample_id_column and test_dataset is not None: |
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139 test_dataset = test_dataset.drop(columns=[args.sample_id_column], errors="ignore") |
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0
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140 |
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141 raw_folds = [] |
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planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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142 ag_folds = [] |
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143 folds_info = [] |
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144 last_predictor = None |
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145 last_data_ctx = None |
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146 |
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3
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147 if args.sample_id_column and args.sample_id_column in df_full.columns: |
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148 split_iter = kf.split(df_full, y if use_stratified else None, groups) |
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149 else: |
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150 split_iter = kf.split(df_full, y if use_stratified else None) |
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151 |
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152 for fold_idx, (train_idx, val_idx) in enumerate(split_iter, start=1): |
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0
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153 logger.info(f"CV fold {fold_idx}/{args.num_folds}") |
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154 df_tr = df_full.iloc[train_idx].copy() |
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155 df_va = df_full.iloc[val_idx].copy() |
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3
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156 if args.sample_id_column: |
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157 df_tr = df_tr.drop(columns=[args.sample_id_column], errors="ignore") |
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158 df_va = df_va.drop(columns=[args.sample_id_column], errors="ignore") |
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0
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159 |
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160 df_tr["split"] = "train" |
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161 df_va["split"] = "val" |
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162 fold_dataset = pd.concat([df_tr, df_va], ignore_index=True) |
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163 |
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164 predictor_fold, data_ctx = run_autogluon_experiment( |
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165 train_dataset=fold_dataset, |
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166 test_dataset=test_dataset, |
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167 target_column=args.target_column, |
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168 image_columns=image_cols, |
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169 ag_config=ag_config, |
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170 ) |
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171 last_predictor = predictor_fold |
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172 last_data_ctx = data_ctx |
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173 problem_type = infer_problem_type(predictor_fold, df_tr, args.target_column) |
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174 eval_results = run_autogluon_test_experiment( |
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175 predictor=predictor_fold, |
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176 data_ctx=data_ctx, |
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177 target_column=args.target_column, |
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178 eval_metric=args.eval_metric, |
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179 ag_config=ag_config, |
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180 problem_type=problem_type, |
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181 ) |
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182 |
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183 raw_metrics_fold = eval_results.get("raw_metrics", {}) |
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184 ag_by_split_fold = eval_results.get("ag_eval", {}) |
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185 raw_folds.append(raw_metrics_fold) |
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186 ag_folds.append(ag_by_split_fold) |
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187 folds_info.append( |
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188 { |
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189 "fold": int(fold_idx), |
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190 "predictor_path": getattr(predictor_fold, "path", None), |
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191 "raw_metrics": raw_metrics_fold, |
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192 "ag_eval": ag_by_split_fold, |
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193 } |
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194 ) |
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195 |
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196 raw_metrics_mean, raw_metrics_std = aggregate_metrics(raw_folds) |
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197 ag_by_split_mean, ag_by_split_std = aggregate_metrics(ag_folds) |
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198 return ( |
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199 last_predictor, |
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200 raw_metrics_mean, |
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201 ag_by_split_mean, |
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202 raw_folds, |
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203 ag_folds, |
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204 raw_metrics_std, |
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205 ag_by_split_std, |
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206 folds_info, |
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207 last_data_ctx, |
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208 ) |
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209 |
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210 |
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211 # ------------------------------------------------------------------ |
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212 # Main execution |
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213 # ------------------------------------------------------------------ |
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214 def main(): |
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215 args = parse_args() |
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216 |
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217 # ------------------------------------------------------------------ |
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218 # Debug output |
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219 # ------------------------------------------------------------------ |
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220 logger.info("=== AutoGluon Training Wrapper Started ===") |
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221 logger.info(f"Working directory: {os.getcwd()}") |
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222 logger.info(f"Command line: {' '.join(sys.argv)}") |
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223 logger.info(f"Parsed args: {vars(args)}") |
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224 logger.info("Cache dirs: TORCH_HOME=%s HF_HOME=%s HUGGINGFACE_HUB_CACHE=%s", |
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225 os.environ.get("TORCH_HOME"), |
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226 os.environ.get("HF_HOME"), |
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227 os.environ.get("HUGGINGFACE_HUB_CACHE")) |
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228 |
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229 # ------------------------------------------------------------------ |
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230 # Reproducibility & performance |
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231 # ------------------------------------------------------------------ |
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232 set_seeds(args.random_seed) |
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233 if args.deterministic: |
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234 enable_deterministic_mode(args.random_seed) |
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235 logger.info("Deterministic mode enabled (seed=%s)", args.random_seed) |
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236 ensure_local_tmp() |
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237 enable_tensor_cores_if_available() |
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238 |
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239 # ------------------------------------------------------------------ |
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240 # Load datasets |
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241 # ------------------------------------------------------------------ |
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242 train_dataset = load_file(args.train_dataset) |
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243 test_dataset = load_file(args.test_dataset) if args.test_dataset else None |
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244 |
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245 logger.info(f"Train dataset loaded: {len(train_dataset)} rows") |
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246 if test_dataset is not None: |
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247 logger.info(f"Test dataset loaded: {len(test_dataset)} rows") |
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248 |
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249 # ------------------------------------------------------------------ |
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5
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250 # Resolve columns by name; if Galaxy passed a numeric index, |
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0
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251 # translate it to the corresponding header so downstream checks pass. |
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252 # Galaxy's data_column widget is 1-based. |
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253 # ------------------------------------------------------------------ |
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5
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254 def resolve_column_name(value, columns, label): |
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255 if value is None: |
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256 return None |
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257 if str(value).isdigit(): |
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258 idx = int(value) - 1 |
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259 if 0 <= idx < len(columns): |
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260 resolved = columns[idx] |
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261 if value in columns: |
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262 logger.warning( |
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263 "%s column value '%s' matches a header, but Galaxy data_column " |
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264 "inputs are interpreted as 1-based indices; using column #%s header '%s'.", |
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265 label, |
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266 value, |
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267 idx + 1, |
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268 resolved, |
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269 ) |
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270 logger.info( |
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271 "%s column '%s' not found; using column #%s header '%s' instead.", |
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272 label, |
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273 value, |
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274 idx + 1, |
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275 resolved, |
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276 ) |
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277 return resolved |
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278 logger.error( |
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279 "Numeric %s index '%s' is out of range for dataset with %s columns.", |
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280 label.lower(), |
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281 value, |
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282 len(columns), |
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283 ) |
|
0
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284 sys.exit(1) |
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5
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285 return value |
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286 |
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287 args.target_column = resolve_column_name(args.target_column, train_dataset.columns, "Target") |
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288 args.sample_id_column = resolve_column_name( |
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289 args.sample_id_column, train_dataset.columns, "Sample ID" |
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290 ) |
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0
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291 |
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292 # ------------------------------------------------------------------ |
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293 # Image handling (ZIP extraction + absolute path expansion) |
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294 # ------------------------------------------------------------------ |
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295 extracted_imgs_path = prepare_image_search_dirs(args) |
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296 |
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297 image_cols = absolute_path_expander(train_dataset, extracted_imgs_path, None) |
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298 if test_dataset is not None: |
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299 absolute_path_expander(test_dataset, extracted_imgs_path, image_cols) |
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300 |
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301 # ------------------------------------------------------------------ |
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302 # Handle missing images |
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303 # ------------------------------------------------------------------ |
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304 train_dataset = handle_missing_images( |
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305 train_dataset, |
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306 image_columns=image_cols, |
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307 strategy=args.missing_image_strategy, |
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308 ) |
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309 if test_dataset is not None: |
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310 test_dataset = handle_missing_images( |
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311 test_dataset, |
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312 image_columns=image_cols, |
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313 strategy=args.missing_image_strategy, |
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314 ) |
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315 |
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316 logger.info(f"After cleanup → train: {len(train_dataset)}, test: {len(test_dataset) if test_dataset is not None else 0}") |
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317 |
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318 # ------------------------------------------------------------------ |
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319 # Dataset splitting logic (adds 'split' column to train_dataset) |
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320 # ------------------------------------------------------------------ |
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321 split_dataset( |
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322 train_dataset=train_dataset, |
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323 test_dataset=test_dataset, |
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324 target_column=args.target_column, |
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325 split_probabilities=args.split_probabilities, |
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326 validation_size=args.validation_size, |
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327 random_seed=args.random_seed, |
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3
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328 sample_id_column=args.sample_id_column, |
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329 ) |
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330 |
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331 logger.info("Preprocessing complete — ready for AutoGluon training!") |
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332 logger.info(f"Final split counts:\n{train_dataset['split'].value_counts().sort_index()}") |
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333 |
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334 # Verify target/image/text columns exist |
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335 if args.target_column not in train_dataset.columns: |
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336 logger.error(f"Target column '{args.target_column}' not found in training data.") |
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337 sys.exit(1) |
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338 if test_dataset is not None and args.target_column not in test_dataset.columns: |
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339 logger.error(f"Target column '{args.target_column}' not found in test data.") |
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340 sys.exit(1) |
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341 |
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342 # Threshold is only meaningful for binary classification; ignore otherwise. |
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343 threshold_for_run = args.threshold |
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344 unique_labels = None |
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345 target_looks_binary = False |
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planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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346 try: |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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347 unique_labels = train_dataset[args.target_column].nunique(dropna=True) |
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375c36923da1
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348 target_looks_binary = unique_labels == 2 |
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planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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349 except Exception: |
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350 logger.warning("Could not inspect target column '%s' for threshold validation; proceeding without binary check.", args.target_column) |
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351 |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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352 if threshold_for_run is not None: |
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planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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353 if target_looks_binary: |
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planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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354 threshold_for_run = float(threshold_for_run) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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355 logger.info("Applying custom decision threshold %.4f for binary evaluation.", threshold_for_run) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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356 else: |
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planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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357 logger.warning( |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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358 "Threshold %.3f provided but target '%s' does not appear binary (unique labels=%s); ignoring threshold.", |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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359 threshold_for_run, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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360 args.target_column, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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361 unique_labels if unique_labels is not None else "unknown", |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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362 ) |
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375c36923da1
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363 threshold_for_run = None |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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364 args.threshold = threshold_for_run |
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planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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365 # Image columns are auto-inferred; image_cols already resolved to absolute paths. |
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366 # ------------------------------------------------------------------ |
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367 # Build AutoGluon configuration from CLI knobs |
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368 # ------------------------------------------------------------------ |
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369 ag_config = autogluon_hyperparameters( |
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planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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370 threshold=args.threshold, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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371 time_limit=args.time_limit, |
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372 random_seed=args.random_seed, |
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planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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373 epochs=args.epochs, |
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planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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374 learning_rate=args.learning_rate, |
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375 batch_size=args.batch_size, |
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6
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planemo upload for repository https://github.com/goeckslab/gleam.git commit 6e49ad44dd8572382ee203926690a30d7e888203
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376 num_workers=args.num_workers, |
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377 num_workers_evaluation=args.num_workers_eval, |
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0
375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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378 backbone_image=args.backbone_image, |
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planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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379 backbone_text=args.backbone_text, |
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planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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380 preset=args.preset, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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381 eval_metric=args.eval_metric, |
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planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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382 hyperparameters=args.hyperparameters, |
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planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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|
383 ) |
|
375c36923da1
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384 logger.info(f"AutoGluon config prepared: fit={ag_config.get('fit')}, hyperparameters keys={list(ag_config.get('hyperparameters', {}).keys())}") |
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|
385 |
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375c36923da1
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386 cv_enabled = str2bool(args.cross_validation) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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387 if cv_enabled: |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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|
388 ( |
|
375c36923da1
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389 predictor, |
|
375c36923da1
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|
390 raw_metrics, |
|
375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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391 ag_by_split, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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|
392 raw_folds, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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393 ag_folds, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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|
394 raw_metrics_std, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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395 ag_by_split_std, |
|
375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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396 folds_info, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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397 data_ctx, |
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planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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|
398 ) = run_cross_validation( |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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399 args=args, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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400 df_full=train_dataset, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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401 test_dataset=test_dataset, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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|
402 image_cols=image_cols, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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|
403 ag_config=ag_config, |
|
375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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changeset
|
404 ) |
|
375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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changeset
|
405 if predictor is None: |
|
375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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changeset
|
406 logger.error("All CV folds failed. Exiting.") |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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changeset
|
407 sys.exit(1) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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changeset
|
408 eval_results = { |
|
375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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409 "raw_metrics": raw_metrics, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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changeset
|
410 "ag_eval": ag_by_split, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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changeset
|
411 "fit_summary": None, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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|
412 } |
|
375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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|
413 else: |
|
3
25bb80df7c0c
planemo upload for repository https://github.com/goeckslab/gleam.git commit f0daa5846b336584c708d88f6d7f1b5ee8dc3093
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0
diff
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414 # Drop sample-id column before training so it does not leak into modeling. |
|
25bb80df7c0c
planemo upload for repository https://github.com/goeckslab/gleam.git commit f0daa5846b336584c708d88f6d7f1b5ee8dc3093
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415 if args.sample_id_column: |
|
25bb80df7c0c
planemo upload for repository https://github.com/goeckslab/gleam.git commit f0daa5846b336584c708d88f6d7f1b5ee8dc3093
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416 train_dataset = train_dataset.drop(columns=[args.sample_id_column], errors="ignore") |
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25bb80df7c0c
planemo upload for repository https://github.com/goeckslab/gleam.git commit f0daa5846b336584c708d88f6d7f1b5ee8dc3093
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417 if test_dataset is not None: |
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25bb80df7c0c
planemo upload for repository https://github.com/goeckslab/gleam.git commit f0daa5846b336584c708d88f6d7f1b5ee8dc3093
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418 test_dataset = test_dataset.drop(columns=[args.sample_id_column], errors="ignore") |
|
0
375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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changeset
|
419 predictor, data_ctx = run_autogluon_experiment( |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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changeset
|
420 train_dataset=train_dataset, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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parents:
diff
changeset
|
421 test_dataset=test_dataset, |
|
375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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parents:
diff
changeset
|
422 target_column=args.target_column, |
|
375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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parents:
diff
changeset
|
423 image_columns=image_cols, |
|
375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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diff
changeset
|
424 ag_config=ag_config, |
|
375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
|
425 ) |
|
375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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parents:
diff
changeset
|
426 logger.info("AutoGluon training finished. Model path: %s", getattr(predictor, "path", None)) |
|
375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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parents:
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changeset
|
427 |
|
375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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parents:
diff
changeset
|
428 # Evaluate predictor on Train/Val/Test splits |
|
375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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parents:
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changeset
|
429 problem_type = infer_problem_type(predictor, train_dataset, args.target_column) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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430 eval_results = run_autogluon_test_experiment( |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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431 predictor=predictor, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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432 data_ctx=data_ctx, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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433 target_column=args.target_column, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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434 eval_metric=args.eval_metric, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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435 ag_config=ag_config, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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436 problem_type=problem_type, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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437 ) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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438 raw_metrics = eval_results.get("raw_metrics", {}) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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439 ag_by_split = eval_results.get("ag_eval", {}) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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440 raw_folds = ag_folds = raw_metrics_std = ag_by_split_std = None |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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441 |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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442 logger.info("Transparent metrics by split: %s", eval_results["raw_metrics"]) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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443 logger.info("AutoGluon evaluate() by split: %s", eval_results["ag_eval"]) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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444 |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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445 if "problem_type" in eval_results: |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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446 problem_type_final = eval_results["problem_type"] |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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447 else: |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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448 problem_type_final = infer_problem_type(predictor, train_dataset, args.target_column) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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449 |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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450 write_outputs( |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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451 args=args, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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452 predictor=predictor, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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453 problem_type=problem_type_final, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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454 eval_results=eval_results, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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455 data_ctx=data_ctx, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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456 raw_folds=raw_folds, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff
changeset
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457 ag_folds=ag_folds, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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458 raw_metrics_std=raw_metrics_std, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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459 ag_by_split_std=ag_by_split_std, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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460 ) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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461 |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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462 |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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463 if __name__ == "__main__": |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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464 logging.basicConfig( |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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465 level=logging.INFO, |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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466 format="%(asctime)s | %(levelname)s | %(message)s", |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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467 datefmt="%H:%M:%S" |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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468 ) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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diff
changeset
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469 # Quiet noisy image parsing logs (e.g., PIL.PngImagePlugin debug streams) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
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changeset
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470 logging.getLogger("PIL").setLevel(logging.WARNING) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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471 logging.getLogger("PIL.PngImagePlugin").setLevel(logging.WARNING) |
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375c36923da1
planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
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changeset
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472 main() |
