v3

Author: melvinbarbaux

dashboard/public/data/artifacts/R1_transductive_laplace_learning_text_ag_news_470381/config.yaml

@@ -0,0 +1,91 @@
+run:
+  name: multiclass_text_transductive_laplace_learning_ag_news_R1-seed1
+  seed: 1
+  output_dir: /lustre/fsn1/projects/rech/dqp/uqj57xk/projet_modssc/outputs/multiclass_transductive/text/ag_news/laplace_learning/R1/multiclass_text_transductive_laplace_learning_ag_news_R1-sweep-20260509T022458Z
+  log_level: detailed
+  fail_fast: true
+limits:
+  profile: auto
+dataset:
+  id: ag_news
+  download: true
+  cache_dir: /lustre/fsn1/projects/rech/dqp/uqj57xk/projet_modssc/modssc_cache/datasets
+  options:
+    text_column: text
+    label_column: label
+    prefer_test_split: true
+sampling:
+  seed: 1
+  plan:
+    split:
+      kind: holdout
+      test_fraction: 0.2
+      val_fraction: 0.1
+      stratify: true
+      shuffle: true
+    labeling:
+      mode: per_class
+      value: 1
+      strategy: balanced
+      min_per_class: 1
+      per_class: true
+      fixed_indices: null
+    imbalance:
+      kind: none
+    policy:
+      respect_official_test: true
+      use_official_graph_masks: true
+      allow_override_official: false
+preprocess:
+  seed: 1
+  fit_on: train
+  cache: true
+  cache_dir: /lustre/fsn1/projects/rech/dqp/uqj57xk/projet_modssc/modssc_cache/preprocess
+  plan:
+    output_key: features.X
+    steps:
+    - id: labels.encode
+    - id: text.ensure_strings
+    - id: text.sentence_transformer
+      params:
+        batch_size: 32
+        model_id: st:all-MiniLM-L6-v2
+    - id: core.pca
+      params:
+        n_components: 128
+    - id: core.to_numpy
+method:
+  kind: transductive
+  id: laplace_learning
+  device:
+    device: auto
+    dtype: float32
+    resolved_device: cuda
+  params: {}
+evaluation:
+  split_for_model_selection: val
+  report_splits:
+  - val
+  - test
+  metrics:
+  - accuracy
+  - macro_f1
+  - balanced_accuracy
+graph:
+  enabled: true
+  seed: 1
+  cache: true
+  cache_dir: /lustre/fsn1/projects/rech/dqp/uqj57xk/projet_modssc/modssc_cache/graph
+  spec:
+    scheme: knn
+    metric: cosine
+    k: 10
+    symmetrize: or
+    weights:
+      kind: heat
+      sigma: 1.0
+    normalize: rw
+    self_loops: true
+    backend: sklearn
+    chunk_size: 1024
+    feature_field: features.X