annotate multimodal_learner.py @ 5:975512caae22 draft default tip

planemo upload for repository https://github.com/goeckslab/gleam.git commit e984bd965d46c5f9ee5c3beb7429f3fd4a91ee35
author goeckslab
date Fri, 23 Jan 2026 23:06:00 +0000
parents de753cf07008
children
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375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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1 #!/usr/bin/env python
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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2 """
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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3 Main entrypoint for AutoGluon multimodal training wrapper.
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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4 """
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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5
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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6 import argparse
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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7 import logging
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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8 import os
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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9 import sys
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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10 from typing import List, Optional
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11
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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12 import pandas as pd
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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13 from metrics_logic import aggregate_metrics
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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14 from plot_logic import infer_problem_type
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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15 from report_utils import write_outputs
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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16 from sklearn.model_selection import KFold, StratifiedKFold
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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17 from split_logic import split_dataset
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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18 from test_pipeline import run_autogluon_test_experiment
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19 from training_pipeline import autogluon_hyperparameters, handle_missing_images, run_autogluon_experiment
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20 # ------------------------------------------------------------------
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21 # Local imports (your split utilities)
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22 # ------------------------------------------------------------------
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23 from utils import (
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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24 absolute_path_expander,
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25 enable_deterministic_mode,
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26 enable_tensor_cores_if_available,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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27 ensure_local_tmp,
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28 load_file,
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29 prepare_image_search_dirs,
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30 set_seeds,
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31 str2bool,
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32 )
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33
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34 # ------------------------------------------------------------------
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35 # Logger setup
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36 # ------------------------------------------------------------------
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37 logger = logging.getLogger(__name__)
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38
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39
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40 # ------------------------------------------------------------------
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41 # Argument parsing (unchanged from your original, only minor fixes)
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42 # ------------------------------------------------------------------
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43 def parse_args(argv=None):
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44 parser = argparse.ArgumentParser(description="Train & report an AutoGluon model")
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45
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46 parser.add_argument("--input_csv_train", dest="train_dataset", required=True)
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47 parser.add_argument("--input_csv_test", dest="test_dataset", default=None)
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48 parser.add_argument("--target_column", required=True)
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49 parser.add_argument("--output_json", default="results.json")
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50 parser.add_argument("--output_html", default="report.html")
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51 parser.add_argument("--output_config", default=None)
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52 parser.add_argument("--images_zip", nargs="*", default=None,
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53 help="One or more ZIP files that contain image assets")
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54 parser.add_argument("--missing_image_strategy", default="false",
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55 help="true/false: remove rows with missing images or use placeholder")
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56 parser.add_argument("--threshold", type=float, default=None)
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57 parser.add_argument("--time_limit", type=int, default=None)
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58 parser.add_argument("--deterministic", action="store_true", default=False,
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59 help="Enable deterministic algorithms to reduce run-to-run variance")
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60 parser.add_argument("--random_seed", type=int, default=42)
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61 parser.add_argument("--cross_validation", type=str, default="false")
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62 parser.add_argument("--num_folds", type=int, default=5)
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63 parser.add_argument("--epochs", type=int, default=None)
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64 parser.add_argument("--learning_rate", type=float, default=None)
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65 parser.add_argument("--batch_size", type=int, default=None)
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66 parser.add_argument("--backbone_image", type=str, default="swin_base_patch4_window7_224")
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67 parser.add_argument("--backbone_text", type=str, default="microsoft/deberta-v3-base")
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68 parser.add_argument("--validation_size", type=float, default=0.2)
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69 parser.add_argument("--split_probabilities", type=float, nargs=3,
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70 default=[0.7, 0.1, 0.2], metavar=("train", "val", "test"))
3
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71 parser.add_argument("--sample_id_column", default=None)
0
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72 parser.add_argument("--preset", choices=["medium_quality", "high_quality", "best_quality"],
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73 default="medium_quality")
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74 parser.add_argument("--eval_metric", default="roc_auc")
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75 parser.add_argument("--hyperparameters", default=None)
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76
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77 args, unknown = parser.parse_known_args(argv)
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78 if unknown:
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79 logger.warning("Ignoring unknown CLI tokens: %s", unknown)
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80
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81 # -------------------------- Validation --------------------------
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82 if not (0.0 <= args.validation_size <= 1.0):
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83 parser.error("--validation_size must be in [0, 1]")
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84 if len(args.split_probabilities) != 3 or abs(sum(args.split_probabilities) - 1.0) > 1e-6:
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85 parser.error("--split_probabilities must be three numbers summing to 1.0")
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86 if args.cross_validation.lower() == "true" and (args.num_folds < 2):
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87 parser.error("--num_folds must be >= 2 when --cross_validation is true")
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88
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89 return args
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90
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91
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92 def run_cross_validation(
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93 args,
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94 df_full: pd.DataFrame,
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95 test_dataset: Optional[pd.DataFrame],
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96 image_cols: List[str],
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97 ag_config: dict,
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98 ):
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99 """Cross-validation loop returning aggregated metrics and last predictor."""
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100 df_full = df_full.drop(columns=["split"], errors="ignore")
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101 y = df_full[args.target_column]
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102 try:
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103 use_stratified = y.dtype == object or y.nunique() <= 20
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104 except Exception:
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105 use_stratified = False
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106
3
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107 if args.sample_id_column and args.sample_id_column in df_full.columns:
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108 groups = df_full[args.sample_id_column]
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109 if use_stratified:
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110 try:
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111 from sklearn.model_selection import StratifiedGroupKFold
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112
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113 kf = StratifiedGroupKFold(
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114 n_splits=int(args.num_folds),
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115 shuffle=True,
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116 random_state=int(args.random_seed),
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117 )
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118 except Exception as exc:
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119 logger.warning(
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120 "StratifiedGroupKFold unavailable (%s); falling back to GroupKFold.",
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121 exc,
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122 )
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123 from sklearn.model_selection import GroupKFold
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124
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125 kf = GroupKFold(n_splits=int(args.num_folds))
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126 use_stratified = False
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127 else:
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128 from sklearn.model_selection import GroupKFold
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129
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130 kf = GroupKFold(n_splits=int(args.num_folds))
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131 else:
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132 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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133
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134 if args.sample_id_column and test_dataset is not None:
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135 test_dataset = test_dataset.drop(columns=[args.sample_id_column], errors="ignore")
0
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136
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137 raw_folds = []
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138 ag_folds = []
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139 folds_info = []
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140 last_predictor = None
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141 last_data_ctx = None
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142
3
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143 if args.sample_id_column and args.sample_id_column in df_full.columns:
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144 split_iter = kf.split(df_full, y if use_stratified else None, groups)
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145 else:
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146 split_iter = kf.split(df_full, y if use_stratified else None)
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147
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148 for fold_idx, (train_idx, val_idx) in enumerate(split_iter, start=1):
0
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149 logger.info(f"CV fold {fold_idx}/{args.num_folds}")
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150 df_tr = df_full.iloc[train_idx].copy()
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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151 df_va = df_full.iloc[val_idx].copy()
3
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152 if args.sample_id_column:
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153 df_tr = df_tr.drop(columns=[args.sample_id_column], errors="ignore")
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154 df_va = df_va.drop(columns=[args.sample_id_column], errors="ignore")
0
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155
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156 df_tr["split"] = "train"
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157 df_va["split"] = "val"
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158 fold_dataset = pd.concat([df_tr, df_va], ignore_index=True)
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159
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160 predictor_fold, data_ctx = run_autogluon_experiment(
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161 train_dataset=fold_dataset,
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162 test_dataset=test_dataset,
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163 target_column=args.target_column,
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164 image_columns=image_cols,
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165 ag_config=ag_config,
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166 )
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167 last_predictor = predictor_fold
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168 last_data_ctx = data_ctx
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169 problem_type = infer_problem_type(predictor_fold, df_tr, args.target_column)
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170 eval_results = run_autogluon_test_experiment(
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171 predictor=predictor_fold,
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172 data_ctx=data_ctx,
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173 target_column=args.target_column,
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174 eval_metric=args.eval_metric,
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175 ag_config=ag_config,
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176 problem_type=problem_type,
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177 )
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178
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179 raw_metrics_fold = eval_results.get("raw_metrics", {})
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180 ag_by_split_fold = eval_results.get("ag_eval", {})
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181 raw_folds.append(raw_metrics_fold)
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182 ag_folds.append(ag_by_split_fold)
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183 folds_info.append(
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184 {
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185 "fold": int(fold_idx),
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186 "predictor_path": getattr(predictor_fold, "path", None),
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187 "raw_metrics": raw_metrics_fold,
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188 "ag_eval": ag_by_split_fold,
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189 }
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190 )
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191
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192 raw_metrics_mean, raw_metrics_std = aggregate_metrics(raw_folds)
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193 ag_by_split_mean, ag_by_split_std = aggregate_metrics(ag_folds)
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194 return (
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195 last_predictor,
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196 raw_metrics_mean,
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197 ag_by_split_mean,
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198 raw_folds,
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199 ag_folds,
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200 raw_metrics_std,
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201 ag_by_split_std,
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202 folds_info,
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203 last_data_ctx,
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204 )
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205
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206
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207 # ------------------------------------------------------------------
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208 # Main execution
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209 # ------------------------------------------------------------------
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210 def main():
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211 args = parse_args()
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212
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213 # ------------------------------------------------------------------
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214 # Debug output
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215 # ------------------------------------------------------------------
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216 logger.info("=== AutoGluon Training Wrapper Started ===")
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217 logger.info(f"Working directory: {os.getcwd()}")
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218 logger.info(f"Command line: {' '.join(sys.argv)}")
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219 logger.info(f"Parsed args: {vars(args)}")
4
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220 logger.info("Cache dirs: TORCH_HOME=%s HF_HOME=%s HUGGINGFACE_HUB_CACHE=%s",
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221 os.environ.get("TORCH_HOME"),
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222 os.environ.get("HF_HOME"),
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223 os.environ.get("HUGGINGFACE_HUB_CACHE"))
0
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224
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225 # ------------------------------------------------------------------
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226 # Reproducibility & performance
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227 # ------------------------------------------------------------------
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228 set_seeds(args.random_seed)
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229 if args.deterministic:
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230 enable_deterministic_mode(args.random_seed)
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231 logger.info("Deterministic mode enabled (seed=%s)", args.random_seed)
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232 ensure_local_tmp()
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233 enable_tensor_cores_if_available()
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234
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235 # ------------------------------------------------------------------
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236 # Load datasets
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237 # ------------------------------------------------------------------
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238 train_dataset = load_file(args.train_dataset)
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239 test_dataset = load_file(args.test_dataset) if args.test_dataset else None
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240
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241 logger.info(f"Train dataset loaded: {len(train_dataset)} rows")
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242 if test_dataset is not None:
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243 logger.info(f"Test dataset loaded: {len(test_dataset)} rows")
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244
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245 # ------------------------------------------------------------------
5
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246 # Resolve columns by name; if Galaxy passed a numeric index,
0
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247 # translate it to the corresponding header so downstream checks pass.
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248 # Galaxy's data_column widget is 1-based.
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249 # ------------------------------------------------------------------
5
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250 def resolve_column_name(value, columns, label):
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251 if value is None:
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252 return None
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253 if str(value).isdigit():
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254 idx = int(value) - 1
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255 if 0 <= idx < len(columns):
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256 resolved = columns[idx]
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257 if value in columns:
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258 logger.warning(
975512caae22 planemo upload for repository https://github.com/goeckslab/gleam.git commit e984bd965d46c5f9ee5c3beb7429f3fd4a91ee35
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259 "%s column value '%s' matches a header, but Galaxy data_column "
975512caae22 planemo upload for repository https://github.com/goeckslab/gleam.git commit e984bd965d46c5f9ee5c3beb7429f3fd4a91ee35
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260 "inputs are interpreted as 1-based indices; using column #%s header '%s'.",
975512caae22 planemo upload for repository https://github.com/goeckslab/gleam.git commit e984bd965d46c5f9ee5c3beb7429f3fd4a91ee35
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261 label,
975512caae22 planemo upload for repository https://github.com/goeckslab/gleam.git commit e984bd965d46c5f9ee5c3beb7429f3fd4a91ee35
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262 value,
975512caae22 planemo upload for repository https://github.com/goeckslab/gleam.git commit e984bd965d46c5f9ee5c3beb7429f3fd4a91ee35
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263 idx + 1,
975512caae22 planemo upload for repository https://github.com/goeckslab/gleam.git commit e984bd965d46c5f9ee5c3beb7429f3fd4a91ee35
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264 resolved,
975512caae22 planemo upload for repository https://github.com/goeckslab/gleam.git commit e984bd965d46c5f9ee5c3beb7429f3fd4a91ee35
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265 )
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266 logger.info(
975512caae22 planemo upload for repository https://github.com/goeckslab/gleam.git commit e984bd965d46c5f9ee5c3beb7429f3fd4a91ee35
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267 "%s column '%s' not found; using column #%s header '%s' instead.",
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268 label,
975512caae22 planemo upload for repository https://github.com/goeckslab/gleam.git commit e984bd965d46c5f9ee5c3beb7429f3fd4a91ee35
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269 value,
975512caae22 planemo upload for repository https://github.com/goeckslab/gleam.git commit e984bd965d46c5f9ee5c3beb7429f3fd4a91ee35
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270 idx + 1,
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271 resolved,
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272 )
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273 return resolved
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274 logger.error(
975512caae22 planemo upload for repository https://github.com/goeckslab/gleam.git commit e984bd965d46c5f9ee5c3beb7429f3fd4a91ee35
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275 "Numeric %s index '%s' is out of range for dataset with %s columns.",
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276 label.lower(),
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277 value,
975512caae22 planemo upload for repository https://github.com/goeckslab/gleam.git commit e984bd965d46c5f9ee5c3beb7429f3fd4a91ee35
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278 len(columns),
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279 )
0
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280 sys.exit(1)
5
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281 return value
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282
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283 args.target_column = resolve_column_name(args.target_column, train_dataset.columns, "Target")
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284 args.sample_id_column = resolve_column_name(
975512caae22 planemo upload for repository https://github.com/goeckslab/gleam.git commit e984bd965d46c5f9ee5c3beb7429f3fd4a91ee35
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285 args.sample_id_column, train_dataset.columns, "Sample ID"
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286 )
0
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287
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288 # ------------------------------------------------------------------
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289 # Image handling (ZIP extraction + absolute path expansion)
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290 # ------------------------------------------------------------------
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291 extracted_imgs_path = prepare_image_search_dirs(args)
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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parents:
diff changeset
292
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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parents:
diff changeset
293 image_cols = absolute_path_expander(train_dataset, extracted_imgs_path, None)
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
294 if test_dataset is not None:
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
295 absolute_path_expander(test_dataset, extracted_imgs_path, image_cols)
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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parents:
diff changeset
296
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
297 # ------------------------------------------------------------------
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
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parents:
diff changeset
298 # Handle missing images
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
299 # ------------------------------------------------------------------
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
300 train_dataset = handle_missing_images(
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
301 train_dataset,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
302 image_columns=image_cols,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
303 strategy=args.missing_image_strategy,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
304 )
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
305 if test_dataset is not None:
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
306 test_dataset = handle_missing_images(
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
307 test_dataset,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
308 image_columns=image_cols,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
309 strategy=args.missing_image_strategy,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
310 )
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
311
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
312 logger.info(f"After cleanup → train: {len(train_dataset)}, test: {len(test_dataset) if test_dataset is not None else 0}")
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
313
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
314 # ------------------------------------------------------------------
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
315 # Dataset splitting logic (adds 'split' column to train_dataset)
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
316 # ------------------------------------------------------------------
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
317 split_dataset(
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
318 train_dataset=train_dataset,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
319 test_dataset=test_dataset,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
320 target_column=args.target_column,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
321 split_probabilities=args.split_probabilities,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
322 validation_size=args.validation_size,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
323 random_seed=args.random_seed,
3
25bb80df7c0c planemo upload for repository https://github.com/goeckslab/gleam.git commit f0daa5846b336584c708d88f6d7f1b5ee8dc3093
goeckslab
parents: 0
diff changeset
324 sample_id_column=args.sample_id_column,
0
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
325 )
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
326
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
327 logger.info("Preprocessing complete — ready for AutoGluon training!")
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
328 logger.info(f"Final split counts:\n{train_dataset['split'].value_counts().sort_index()}")
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
329
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
330 # Verify target/image/text columns exist
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
331 if args.target_column not in train_dataset.columns:
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
332 logger.error(f"Target column '{args.target_column}' not found in training data.")
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
333 sys.exit(1)
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
334 if test_dataset is not None and args.target_column not in test_dataset.columns:
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
335 logger.error(f"Target column '{args.target_column}' not found in test data.")
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
336 sys.exit(1)
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
337
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
338 # Threshold is only meaningful for binary classification; ignore otherwise.
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
339 threshold_for_run = args.threshold
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
340 unique_labels = None
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
341 target_looks_binary = False
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
342 try:
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
343 unique_labels = train_dataset[args.target_column].nunique(dropna=True)
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
344 target_looks_binary = unique_labels == 2
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
345 except Exception:
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
346 logger.warning("Could not inspect target column '%s' for threshold validation; proceeding without binary check.", args.target_column)
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
347
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
348 if threshold_for_run is not None:
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
349 if target_looks_binary:
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
350 threshold_for_run = float(threshold_for_run)
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
351 logger.info("Applying custom decision threshold %.4f for binary evaluation.", threshold_for_run)
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
352 else:
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
353 logger.warning(
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
354 "Threshold %.3f provided but target '%s' does not appear binary (unique labels=%s); ignoring threshold.",
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
355 threshold_for_run,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
356 args.target_column,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
357 unique_labels if unique_labels is not None else "unknown",
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
358 )
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
359 threshold_for_run = None
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
360 args.threshold = threshold_for_run
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
361 # Image columns are auto-inferred; image_cols already resolved to absolute paths.
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
362 # ------------------------------------------------------------------
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
363 # Build AutoGluon configuration from CLI knobs
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
364 # ------------------------------------------------------------------
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
365 ag_config = autogluon_hyperparameters(
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
366 threshold=args.threshold,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
367 time_limit=args.time_limit,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
368 random_seed=args.random_seed,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
369 epochs=args.epochs,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
370 learning_rate=args.learning_rate,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
371 batch_size=args.batch_size,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
372 backbone_image=args.backbone_image,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
373 backbone_text=args.backbone_text,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
374 preset=args.preset,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
375 eval_metric=args.eval_metric,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
376 hyperparameters=args.hyperparameters,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
377 )
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
378 logger.info(f"AutoGluon config prepared: fit={ag_config.get('fit')}, hyperparameters keys={list(ag_config.get('hyperparameters', {}).keys())}")
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
379
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
380 cv_enabled = str2bool(args.cross_validation)
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
381 if cv_enabled:
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
382 (
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
383 predictor,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
384 raw_metrics,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
385 ag_by_split,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
386 raw_folds,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
387 ag_folds,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
388 raw_metrics_std,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
389 ag_by_split_std,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
390 folds_info,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
391 data_ctx,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
392 ) = run_cross_validation(
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
393 args=args,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
394 df_full=train_dataset,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
395 test_dataset=test_dataset,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
396 image_cols=image_cols,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
397 ag_config=ag_config,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
398 )
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
399 if predictor is None:
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
400 logger.error("All CV folds failed. Exiting.")
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
401 sys.exit(1)
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
402 eval_results = {
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
403 "raw_metrics": raw_metrics,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
404 "ag_eval": ag_by_split,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
405 "fit_summary": None,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
406 }
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
407 else:
3
25bb80df7c0c planemo upload for repository https://github.com/goeckslab/gleam.git commit f0daa5846b336584c708d88f6d7f1b5ee8dc3093
goeckslab
parents: 0
diff changeset
408 # 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
goeckslab
parents: 0
diff changeset
409 if args.sample_id_column:
25bb80df7c0c planemo upload for repository https://github.com/goeckslab/gleam.git commit f0daa5846b336584c708d88f6d7f1b5ee8dc3093
goeckslab
parents: 0
diff changeset
410 train_dataset = train_dataset.drop(columns=[args.sample_id_column], errors="ignore")
25bb80df7c0c planemo upload for repository https://github.com/goeckslab/gleam.git commit f0daa5846b336584c708d88f6d7f1b5ee8dc3093
goeckslab
parents: 0
diff changeset
411 if test_dataset is not None:
25bb80df7c0c planemo upload for repository https://github.com/goeckslab/gleam.git commit f0daa5846b336584c708d88f6d7f1b5ee8dc3093
goeckslab
parents: 0
diff changeset
412 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
goeckslab
parents:
diff changeset
413 predictor, data_ctx = run_autogluon_experiment(
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
414 train_dataset=train_dataset,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
415 test_dataset=test_dataset,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
416 target_column=args.target_column,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
417 image_columns=image_cols,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
418 ag_config=ag_config,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
419 )
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
420 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
goeckslab
parents:
diff changeset
421
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
422 # Evaluate predictor on Train/Val/Test splits
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
423 problem_type = infer_problem_type(predictor, train_dataset, args.target_column)
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
424 eval_results = run_autogluon_test_experiment(
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
425 predictor=predictor,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
426 data_ctx=data_ctx,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
427 target_column=args.target_column,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
428 eval_metric=args.eval_metric,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
429 ag_config=ag_config,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
430 problem_type=problem_type,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
431 )
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
432 raw_metrics = eval_results.get("raw_metrics", {})
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
433 ag_by_split = eval_results.get("ag_eval", {})
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
434 raw_folds = ag_folds = raw_metrics_std = ag_by_split_std = None
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
435
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
436 logger.info("Transparent metrics by split: %s", eval_results["raw_metrics"])
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
437 logger.info("AutoGluon evaluate() by split: %s", eval_results["ag_eval"])
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
438
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
439 if "problem_type" in eval_results:
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
440 problem_type_final = eval_results["problem_type"]
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
441 else:
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
442 problem_type_final = infer_problem_type(predictor, train_dataset, args.target_column)
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
443
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
444 write_outputs(
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
445 args=args,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
446 predictor=predictor,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
447 problem_type=problem_type_final,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
448 eval_results=eval_results,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
449 data_ctx=data_ctx,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
450 raw_folds=raw_folds,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
451 ag_folds=ag_folds,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
452 raw_metrics_std=raw_metrics_std,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
453 ag_by_split_std=ag_by_split_std,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
454 )
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
455
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
456
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
457 if __name__ == "__main__":
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
458 logging.basicConfig(
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
459 level=logging.INFO,
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
460 format="%(asctime)s | %(levelname)s | %(message)s",
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
461 datefmt="%H:%M:%S"
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
462 )
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
463 # Quiet noisy image parsing logs (e.g., PIL.PngImagePlugin debug streams)
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
464 logging.getLogger("PIL").setLevel(logging.WARNING)
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
465 logging.getLogger("PIL.PngImagePlugin").setLevel(logging.WARNING)
375c36923da1 planemo upload for repository https://github.com/goeckslab/gleam.git commit 1c6c1ad7a1b2bd3645aa0eafa2167784820b52e0
goeckslab
parents:
diff changeset
466 main()