Resume SynthData0523 main/c2 batch 2
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +21 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260501_070350/staged/ctgan/adapter_transforms_applied.json +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260501_070350/staged/ctgan/model_input_manifest.json +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260501_070350/staged/public/staged_features.json +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260501_070350/staged/public/test.csv +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260501_070350/staged/public/train.csv +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260501_070350/staged/public/val.csv +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/_ctgan_generate.py +18 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/_ctgan_train.py +17 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/ctgan-c2-1382-20260504_152353.csv +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/ctgan_metadata.json +32 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/gen_20260504_152353.log +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/input_snapshot.json +36 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/models_50epochs/ctgan_50epochs.pt +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/models_50epochs/train_20260504_152304.log +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/public_gate/normalized_schema_snapshot.json +144 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/public_gate/public_gate_report.json +37 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/public_gate/staged_input_manifest.json +149 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/run_config.json +46 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/runtime_result.json +27 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/staged/ctgan/adapter_report.json +7 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/staged/ctgan/adapter_transforms_applied.json +1 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/staged/ctgan/model_input_manifest.json +151 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/staged/public/staged_features.json +37 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/staged/public/test.csv +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/staged/public/train.csv +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/staged/public/val.csv +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/_ctgan_generate.py +18 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/_ctgan_train.py +17 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/ctgan-c2-1382-20260504_152503.csv +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/ctgan_metadata.json +32 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/gen_20260504_152503.log +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/input_snapshot.json +36 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/models_100epochs/ctgan_100epochs.pt +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/models_100epochs/train_20260504_152412.log +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/public_gate/normalized_schema_snapshot.json +144 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/public_gate/public_gate_report.json +37 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/public_gate/staged_input_manifest.json +149 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/run_config.json +46 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/runtime_result.json +27 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/staged/ctgan/adapter_report.json +7 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/staged/ctgan/adapter_transforms_applied.json +1 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/staged/ctgan/model_input_manifest.json +151 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/staged/public/staged_features.json +37 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/staged/public/test.csv +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/staged/public/train.csv +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/staged/public/val.csv +3 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152521/_ctgan_generate.py +18 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152521/_ctgan_train.py +17 -0
- SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152521/ctgan-c2-1382-20260504_152602.csv +3 -0
.gitattributes
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SynthData0523/main/c2/ctgan/ctgan-c2-20260501_070350/staged/ctgan/adapter_transforms_applied.json
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:0b224c47a37c282fdd29e5748a4a31b415e3adda43beeb37549cd05a13ae5a55
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size 4130
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version https://git-lfs.github.com/spec/v1
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oid sha256:37511511f1d7cb0e004f9d7305c900644ebefe672c9a1a418c1f29b36786fabd
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size 659
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SynthData0523/main/c2/ctgan/ctgan-c2-20260501_070350/staged/public/test.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:b48114a7d0bc5bd9a07920f903c8d4aba8bf98bf2a66a050da03588b0245ca73
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size 5273
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SynthData0523/main/c2/ctgan/ctgan-c2-20260501_070350/staged/public/train.csv
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version https://git-lfs.github.com/spec/v1
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size 41565
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version https://git-lfs.github.com/spec/v1
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oid sha256:26e90c1170a57a14c05832ac88027722b1f3848f9662c7c09ef7c93dcba4cc01
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SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/_ctgan_generate.py
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import sys
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sys.path.insert(0, "/work")
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from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
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apply_ctgan_inverse_fix()
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import pandas as pd
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from ctgan.synthesizers.ctgan import CTGAN
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model = CTGAN.load("/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/models_50epochs/ctgan_50epochs.pt")
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total = 1382
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chunk = min(50000, total) if total > 50000 else total
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parts = []
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left = total
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while left > 0:
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take = min(chunk, left)
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parts.append(model.sample(take))
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left -= take
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sampled = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
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sampled.to_csv("/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/ctgan-c2-1382-20260504_152353.csv", index=False)
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print("[CTGAN] Generated", total, "rows in", len(parts), "chunks ->", "/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/ctgan-c2-1382-20260504_152353.csv")
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SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/_ctgan_train.py
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import pandas as pd
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from ctgan.synthesizers.ctgan import CTGAN
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data = pd.read_csv("/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/staged/public/train.csv")
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discrete_columns = ['buying', 'maint', 'doors', 'persons', 'lug_boot', 'safety', 'class']
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model = CTGAN(
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embedding_dim=8,
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generator_dim=(16, 16),
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discriminator_dim=(16, 16),
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batch_size=32,
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pac=1,
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epochs=50,
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verbose=True,
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)
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model.fit(data, discrete_columns)
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model.save("/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/models_50epochs/ctgan_50epochs.pt")
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print("[CTGAN] Saved model ->", "/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/models_50epochs/ctgan_50epochs.pt")
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SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/ctgan-c2-1382-20260504_152353.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:29e976f587efbc955df869946a4bb105ce51b79458d3c62ceca09ac148b6ed20
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size 41616
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SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/ctgan_metadata.json
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{
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"columns": [
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{
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"name": "buying",
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"type": "categorical"
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},
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{
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"name": "maint",
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"type": "categorical"
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},
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{
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"name": "doors",
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"type": "categorical"
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},
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{
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"name": "persons",
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"type": "categorical"
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},
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{
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"name": "lug_boot",
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"type": "categorical"
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},
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{
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"name": "safety",
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"type": "categorical"
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},
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{
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"name": "class",
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"type": "categorical"
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}
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]
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}
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SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/models_50epochs/ctgan_50epochs.pt
ADDED
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SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/public_gate/normalized_schema_snapshot.json
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SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/public_gate/public_gate_report.json
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|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
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|
|
|
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|
|
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|
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|
|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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| 14 |
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| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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| 36 |
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| 37 |
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| 39 |
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| 40 |
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| 42 |
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| 43 |
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| 44 |
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|
| 45 |
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|
| 46 |
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"med",
|
| 47 |
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"high"
|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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| 56 |
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| 57 |
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| 59 |
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|
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| 64 |
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| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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| 76 |
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| 77 |
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| 79 |
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| 80 |
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| 81 |
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| 83 |
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|
| 84 |
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| 85 |
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| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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| 97 |
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|
| 98 |
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| 99 |
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| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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"small",
|
| 104 |
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"big",
|
| 105 |
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"med"
|
| 106 |
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|
| 107 |
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|
| 108 |
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},
|
| 109 |
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{
|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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"low",
|
| 123 |
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"high",
|
| 124 |
+
"med"
|
| 125 |
+
]
|
| 126 |
+
}
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"name": "class",
|
| 130 |
+
"role": "target",
|
| 131 |
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"semantic_type": "categorical",
|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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"unacc",
|
| 142 |
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"good",
|
| 143 |
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"acc",
|
| 144 |
+
"vgood"
|
| 145 |
+
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|
| 146 |
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|
| 147 |
+
}
|
| 148 |
+
]
|
| 149 |
+
}
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/run_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"recorded_at": "2026-05-04T15:23:04",
|
| 4 |
+
"dataset_id": "c2",
|
| 5 |
+
"model": "ctgan",
|
| 6 |
+
"work_dir": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304",
|
| 7 |
+
"dataset_source_requested": "new",
|
| 8 |
+
"dataset_source_resolved": "new",
|
| 9 |
+
"cli_args": {
|
| 10 |
+
"model": "ctgan",
|
| 11 |
+
"dataset": "c2",
|
| 12 |
+
"dataset_source": "new",
|
| 13 |
+
"train": true,
|
| 14 |
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"generate": true,
|
| 15 |
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"num_rows": 0,
|
| 16 |
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|
| 17 |
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|
| 18 |
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"model_dir": null,
|
| 19 |
+
"work_dir": null,
|
| 20 |
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"resume": false,
|
| 21 |
+
"no_stats": false
|
| 22 |
+
},
|
| 23 |
+
"resolved": {
|
| 24 |
+
"num_rows": 1382,
|
| 25 |
+
"model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/models_50epochs/ctgan_50epochs.pt",
|
| 26 |
+
"output_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/ctgan-c2-1382-20260504_152353.csv"
|
| 27 |
+
},
|
| 28 |
+
"input_artifacts": {
|
| 29 |
+
"public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/public_gate/public_gate_report.json",
|
| 30 |
+
"public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/public_gate/staged_input_manifest.json",
|
| 31 |
+
"model_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/staged/ctgan/model_input_manifest.json",
|
| 32 |
+
"train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/staged/public/train.csv",
|
| 33 |
+
"features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/staged/public/staged_features.json",
|
| 34 |
+
"target_column": "class",
|
| 35 |
+
"task_type": "classification"
|
| 36 |
+
},
|
| 37 |
+
"env_overrides": {
|
| 38 |
+
"BENCHMARK_CTGAN_GPUS": "device=3",
|
| 39 |
+
"CTGAN_BATCH_SIZE": "32",
|
| 40 |
+
"CTGAN_DEFAULT_EPOCHS": "50",
|
| 41 |
+
"CTGAN_DISCRIMINATOR_DIMS": "16,16",
|
| 42 |
+
"CTGAN_EMBEDDING_DIM": "8",
|
| 43 |
+
"CTGAN_GENERATOR_DIMS": "16,16",
|
| 44 |
+
"CTGAN_PAC": "1"
|
| 45 |
+
}
|
| 46 |
+
}
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/runtime_result.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "c2",
|
| 3 |
+
"model": "ctgan",
|
| 4 |
+
"run_id": "ctgan-c2-20260504_152304",
|
| 5 |
+
"public_gate_status": "pass",
|
| 6 |
+
"adapter_ready_status": "pass",
|
| 7 |
+
"train_status": "success",
|
| 8 |
+
"generate_status": "success",
|
| 9 |
+
"reason_code": null,
|
| 10 |
+
"reason_detail": null,
|
| 11 |
+
"artifacts": {
|
| 12 |
+
"synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/ctgan-c2-1382-20260504_152353.csv",
|
| 13 |
+
"model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/models_50epochs/ctgan_50epochs.pt"
|
| 14 |
+
},
|
| 15 |
+
"timings": {
|
| 16 |
+
"train": {
|
| 17 |
+
"started_at": "2026-05-04T15:23:04",
|
| 18 |
+
"ended_at": "2026-05-04T15:23:53",
|
| 19 |
+
"duration_sec": 49.624
|
| 20 |
+
},
|
| 21 |
+
"generate": {
|
| 22 |
+
"started_at": "2026-05-04T15:23:53",
|
| 23 |
+
"ended_at": "2026-05-04T15:23:59",
|
| 24 |
+
"duration_sec": 6.006
|
| 25 |
+
}
|
| 26 |
+
}
|
| 27 |
+
}
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/staged/ctgan/adapter_report.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"adapter_ready_status": "pass",
|
| 3 |
+
"adapter_fail_reason_code": null,
|
| 4 |
+
"adapter_fail_detail": null,
|
| 5 |
+
"adapter_transforms_applied": [],
|
| 6 |
+
"model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/staged/ctgan/model_input_manifest.json"
|
| 7 |
+
}
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/staged/ctgan/adapter_transforms_applied.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
[]
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/staged/ctgan/model_input_manifest.json
ADDED
|
@@ -0,0 +1,151 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "c2",
|
| 3 |
+
"model": "ctgan",
|
| 4 |
+
"target_column": "class",
|
| 5 |
+
"task_type": "classification",
|
| 6 |
+
"column_schema": [
|
| 7 |
+
{
|
| 8 |
+
"name": "buying",
|
| 9 |
+
"role": "feature",
|
| 10 |
+
"semantic_type": "categorical",
|
| 11 |
+
"nullable": false,
|
| 12 |
+
"missing_tokens": [],
|
| 13 |
+
"parse_format": null,
|
| 14 |
+
"impute_strategy": "mode",
|
| 15 |
+
"profile_stats": {
|
| 16 |
+
"missing_rate": 0.0,
|
| 17 |
+
"unique_count": 4,
|
| 18 |
+
"unique_ratio": 0.002894,
|
| 19 |
+
"example_values": [
|
| 20 |
+
"vhigh",
|
| 21 |
+
"med",
|
| 22 |
+
"high",
|
| 23 |
+
"low"
|
| 24 |
+
]
|
| 25 |
+
}
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"name": "maint",
|
| 29 |
+
"role": "feature",
|
| 30 |
+
"semantic_type": "categorical",
|
| 31 |
+
"nullable": false,
|
| 32 |
+
"missing_tokens": [],
|
| 33 |
+
"parse_format": null,
|
| 34 |
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"impute_strategy": "mode",
|
| 35 |
+
"profile_stats": {
|
| 36 |
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"missing_rate": 0.0,
|
| 37 |
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"unique_count": 4,
|
| 38 |
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"unique_ratio": 0.002894,
|
| 39 |
+
"example_values": [
|
| 40 |
+
"vhigh",
|
| 41 |
+
"low",
|
| 42 |
+
"med",
|
| 43 |
+
"high"
|
| 44 |
+
]
|
| 45 |
+
}
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"name": "doors",
|
| 49 |
+
"role": "feature",
|
| 50 |
+
"semantic_type": "categorical",
|
| 51 |
+
"nullable": false,
|
| 52 |
+
"missing_tokens": [],
|
| 53 |
+
"parse_format": null,
|
| 54 |
+
"impute_strategy": "mode",
|
| 55 |
+
"profile_stats": {
|
| 56 |
+
"missing_rate": 0.0,
|
| 57 |
+
"unique_count": 4,
|
| 58 |
+
"unique_ratio": 0.002894,
|
| 59 |
+
"example_values": [
|
| 60 |
+
"2",
|
| 61 |
+
"5more",
|
| 62 |
+
"3",
|
| 63 |
+
"4"
|
| 64 |
+
]
|
| 65 |
+
}
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"name": "persons",
|
| 69 |
+
"role": "feature",
|
| 70 |
+
"semantic_type": "categorical",
|
| 71 |
+
"nullable": false,
|
| 72 |
+
"missing_tokens": [],
|
| 73 |
+
"parse_format": null,
|
| 74 |
+
"impute_strategy": "mode",
|
| 75 |
+
"profile_stats": {
|
| 76 |
+
"missing_rate": 0.0,
|
| 77 |
+
"unique_count": 3,
|
| 78 |
+
"unique_ratio": 0.002171,
|
| 79 |
+
"example_values": [
|
| 80 |
+
"2",
|
| 81 |
+
"4",
|
| 82 |
+
"more"
|
| 83 |
+
]
|
| 84 |
+
}
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"name": "lug_boot",
|
| 88 |
+
"role": "feature",
|
| 89 |
+
"semantic_type": "categorical",
|
| 90 |
+
"nullable": false,
|
| 91 |
+
"missing_tokens": [],
|
| 92 |
+
"parse_format": null,
|
| 93 |
+
"impute_strategy": "mode",
|
| 94 |
+
"profile_stats": {
|
| 95 |
+
"missing_rate": 0.0,
|
| 96 |
+
"unique_count": 3,
|
| 97 |
+
"unique_ratio": 0.002171,
|
| 98 |
+
"example_values": [
|
| 99 |
+
"small",
|
| 100 |
+
"big",
|
| 101 |
+
"med"
|
| 102 |
+
]
|
| 103 |
+
}
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"name": "safety",
|
| 107 |
+
"role": "feature",
|
| 108 |
+
"semantic_type": "categorical",
|
| 109 |
+
"nullable": false,
|
| 110 |
+
"missing_tokens": [],
|
| 111 |
+
"parse_format": null,
|
| 112 |
+
"impute_strategy": "mode",
|
| 113 |
+
"profile_stats": {
|
| 114 |
+
"missing_rate": 0.0,
|
| 115 |
+
"unique_count": 3,
|
| 116 |
+
"unique_ratio": 0.002171,
|
| 117 |
+
"example_values": [
|
| 118 |
+
"low",
|
| 119 |
+
"high",
|
| 120 |
+
"med"
|
| 121 |
+
]
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"name": "class",
|
| 126 |
+
"role": "target",
|
| 127 |
+
"semantic_type": "categorical",
|
| 128 |
+
"nullable": false,
|
| 129 |
+
"missing_tokens": [],
|
| 130 |
+
"parse_format": null,
|
| 131 |
+
"impute_strategy": "mode",
|
| 132 |
+
"profile_stats": {
|
| 133 |
+
"missing_rate": 0.0,
|
| 134 |
+
"unique_count": 4,
|
| 135 |
+
"unique_ratio": 0.002894,
|
| 136 |
+
"example_values": [
|
| 137 |
+
"unacc",
|
| 138 |
+
"good",
|
| 139 |
+
"acc",
|
| 140 |
+
"vgood"
|
| 141 |
+
]
|
| 142 |
+
}
|
| 143 |
+
}
|
| 144 |
+
],
|
| 145 |
+
"public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/public_gate/staged_input_manifest.json",
|
| 146 |
+
"train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/staged/public/train.csv",
|
| 147 |
+
"val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/staged/public/val.csv",
|
| 148 |
+
"test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/staged/public/test.csv",
|
| 149 |
+
"features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/staged/public/staged_features.json",
|
| 150 |
+
"public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152304/public_gate/public_gate_report.json"
|
| 151 |
+
}
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/staged/public/staged_features.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"feature_name": "buying",
|
| 4 |
+
"data_type": "categorical",
|
| 5 |
+
"is_target": false
|
| 6 |
+
},
|
| 7 |
+
{
|
| 8 |
+
"feature_name": "maint",
|
| 9 |
+
"data_type": "categorical",
|
| 10 |
+
"is_target": false
|
| 11 |
+
},
|
| 12 |
+
{
|
| 13 |
+
"feature_name": "doors",
|
| 14 |
+
"data_type": "categorical",
|
| 15 |
+
"is_target": false
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"feature_name": "persons",
|
| 19 |
+
"data_type": "categorical",
|
| 20 |
+
"is_target": false
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"feature_name": "lug_boot",
|
| 24 |
+
"data_type": "categorical",
|
| 25 |
+
"is_target": false
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"feature_name": "safety",
|
| 29 |
+
"data_type": "categorical",
|
| 30 |
+
"is_target": false
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"feature_name": "class",
|
| 34 |
+
"data_type": "categorical",
|
| 35 |
+
"is_target": true
|
| 36 |
+
}
|
| 37 |
+
]
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/staged/public/test.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b48114a7d0bc5bd9a07920f903c8d4aba8bf98bf2a66a050da03588b0245ca73
|
| 3 |
+
size 5273
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/staged/public/train.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4aed00c2c2b3f88a55a7ebff31b2e1b5e0e32fb0a7267e0b9d2779cd23e434dd
|
| 3 |
+
size 41565
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152304/staged/public/val.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:26e90c1170a57a14c05832ac88027722b1f3848f9662c7c09ef7c93dcba4cc01
|
| 3 |
+
size 5176
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/_ctgan_generate.py
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import sys
|
| 2 |
+
sys.path.insert(0, "/work")
|
| 3 |
+
from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
|
| 4 |
+
apply_ctgan_inverse_fix()
|
| 5 |
+
import pandas as pd
|
| 6 |
+
from ctgan.synthesizers.ctgan import CTGAN
|
| 7 |
+
model = CTGAN.load("/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/models_100epochs/ctgan_100epochs.pt")
|
| 8 |
+
total = 1382
|
| 9 |
+
chunk = min(50000, total) if total > 50000 else total
|
| 10 |
+
parts = []
|
| 11 |
+
left = total
|
| 12 |
+
while left > 0:
|
| 13 |
+
take = min(chunk, left)
|
| 14 |
+
parts.append(model.sample(take))
|
| 15 |
+
left -= take
|
| 16 |
+
sampled = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
|
| 17 |
+
sampled.to_csv("/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/ctgan-c2-1382-20260504_152503.csv", index=False)
|
| 18 |
+
print("[CTGAN] Generated", total, "rows in", len(parts), "chunks ->", "/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/ctgan-c2-1382-20260504_152503.csv")
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/_ctgan_train.py
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import pandas as pd
|
| 2 |
+
from ctgan.synthesizers.ctgan import CTGAN
|
| 3 |
+
|
| 4 |
+
data = pd.read_csv("/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/staged/public/train.csv")
|
| 5 |
+
discrete_columns = ['buying', 'maint', 'doors', 'persons', 'lug_boot', 'safety', 'class']
|
| 6 |
+
model = CTGAN(
|
| 7 |
+
embedding_dim=16,
|
| 8 |
+
generator_dim=(32, 32),
|
| 9 |
+
discriminator_dim=(32, 32),
|
| 10 |
+
batch_size=64,
|
| 11 |
+
pac=1,
|
| 12 |
+
epochs=100,
|
| 13 |
+
verbose=True,
|
| 14 |
+
)
|
| 15 |
+
model.fit(data, discrete_columns)
|
| 16 |
+
model.save("/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/models_100epochs/ctgan_100epochs.pt")
|
| 17 |
+
print("[CTGAN] Saved model ->", "/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/models_100epochs/ctgan_100epochs.pt")
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/ctgan-c2-1382-20260504_152503.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1a3894c926a9de28a2c5d069c22c5841dba3d46059ebb36e4d9d6a34cf64b9d7
|
| 3 |
+
size 41628
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/ctgan_metadata.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"columns": [
|
| 3 |
+
{
|
| 4 |
+
"name": "buying",
|
| 5 |
+
"type": "categorical"
|
| 6 |
+
},
|
| 7 |
+
{
|
| 8 |
+
"name": "maint",
|
| 9 |
+
"type": "categorical"
|
| 10 |
+
},
|
| 11 |
+
{
|
| 12 |
+
"name": "doors",
|
| 13 |
+
"type": "categorical"
|
| 14 |
+
},
|
| 15 |
+
{
|
| 16 |
+
"name": "persons",
|
| 17 |
+
"type": "categorical"
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"name": "lug_boot",
|
| 21 |
+
"type": "categorical"
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"name": "safety",
|
| 25 |
+
"type": "categorical"
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"name": "class",
|
| 29 |
+
"type": "categorical"
|
| 30 |
+
}
|
| 31 |
+
]
|
| 32 |
+
}
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/gen_20260504_152503.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4fdf3116f7dbf5aa10526c09e0aa425ff5d1d7b6d646d7493b1947d94e53cdc3
|
| 3 |
+
size 297
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/input_snapshot.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "c2",
|
| 3 |
+
"model": "ctgan",
|
| 4 |
+
"inputs": {
|
| 5 |
+
"train_csv": {
|
| 6 |
+
"path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c2/c2-train.csv",
|
| 7 |
+
"exists": true,
|
| 8 |
+
"size": 42948,
|
| 9 |
+
"sha256": "17bc560fa96bd00fb3b526e1e65bc91210b701d0d0a4e8bb9b4c5196cab56def"
|
| 10 |
+
},
|
| 11 |
+
"val_csv": {
|
| 12 |
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SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/public_gate/normalized_schema_snapshot.json
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SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/public_gate/public_gate_report.json
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| 10 |
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| 11 |
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| 12 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 46 |
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| 47 |
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|
| 48 |
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| 49 |
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| 50 |
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| 51 |
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|
| 52 |
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| 53 |
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| 54 |
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|
| 68 |
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| 69 |
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| 70 |
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| 71 |
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|
| 72 |
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| 73 |
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| 75 |
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| 76 |
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|
| 83 |
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| 84 |
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| 85 |
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| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 98 |
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| 99 |
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| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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{
|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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"low",
|
| 123 |
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"high",
|
| 124 |
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"med"
|
| 125 |
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]
|
| 126 |
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|
| 127 |
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|
| 128 |
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{
|
| 129 |
+
"name": "class",
|
| 130 |
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"role": "target",
|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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"good",
|
| 143 |
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"acc",
|
| 144 |
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"vgood"
|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
+
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|
| 149 |
+
}
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/run_config.json
ADDED
|
@@ -0,0 +1,46 @@
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|
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|
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|
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|
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|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"recorded_at": "2026-05-04T15:24:12",
|
| 4 |
+
"dataset_id": "c2",
|
| 5 |
+
"model": "ctgan",
|
| 6 |
+
"work_dir": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412",
|
| 7 |
+
"dataset_source_requested": "new",
|
| 8 |
+
"dataset_source_resolved": "new",
|
| 9 |
+
"cli_args": {
|
| 10 |
+
"model": "ctgan",
|
| 11 |
+
"dataset": "c2",
|
| 12 |
+
"dataset_source": "new",
|
| 13 |
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"train": true,
|
| 14 |
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"generate": true,
|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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"model_dir": null,
|
| 19 |
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"work_dir": null,
|
| 20 |
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"resume": false,
|
| 21 |
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"no_stats": false
|
| 22 |
+
},
|
| 23 |
+
"resolved": {
|
| 24 |
+
"num_rows": 1382,
|
| 25 |
+
"model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/models_100epochs/ctgan_100epochs.pt",
|
| 26 |
+
"output_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/ctgan-c2-1382-20260504_152503.csv"
|
| 27 |
+
},
|
| 28 |
+
"input_artifacts": {
|
| 29 |
+
"public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/public_gate/public_gate_report.json",
|
| 30 |
+
"public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/public_gate/staged_input_manifest.json",
|
| 31 |
+
"model_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/staged/ctgan/model_input_manifest.json",
|
| 32 |
+
"train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/staged/public/train.csv",
|
| 33 |
+
"features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/staged/public/staged_features.json",
|
| 34 |
+
"target_column": "class",
|
| 35 |
+
"task_type": "classification"
|
| 36 |
+
},
|
| 37 |
+
"env_overrides": {
|
| 38 |
+
"BENCHMARK_CTGAN_GPUS": "device=3",
|
| 39 |
+
"CTGAN_BATCH_SIZE": "64",
|
| 40 |
+
"CTGAN_DEFAULT_EPOCHS": "100",
|
| 41 |
+
"CTGAN_DISCRIMINATOR_DIMS": "32,32",
|
| 42 |
+
"CTGAN_EMBEDDING_DIM": "16",
|
| 43 |
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"CTGAN_GENERATOR_DIMS": "32,32",
|
| 44 |
+
"CTGAN_PAC": "1"
|
| 45 |
+
}
|
| 46 |
+
}
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/runtime_result.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "c2",
|
| 3 |
+
"model": "ctgan",
|
| 4 |
+
"run_id": "ctgan-c2-20260504_152412",
|
| 5 |
+
"public_gate_status": "pass",
|
| 6 |
+
"adapter_ready_status": "pass",
|
| 7 |
+
"train_status": "success",
|
| 8 |
+
"generate_status": "success",
|
| 9 |
+
"reason_code": null,
|
| 10 |
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"reason_detail": null,
|
| 11 |
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"artifacts": {
|
| 12 |
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"synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/ctgan-c2-1382-20260504_152503.csv",
|
| 13 |
+
"model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/models_100epochs/ctgan_100epochs.pt"
|
| 14 |
+
},
|
| 15 |
+
"timings": {
|
| 16 |
+
"train": {
|
| 17 |
+
"started_at": "2026-05-04T15:24:12",
|
| 18 |
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"ended_at": "2026-05-04T15:25:03",
|
| 19 |
+
"duration_sec": 50.201
|
| 20 |
+
},
|
| 21 |
+
"generate": {
|
| 22 |
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"started_at": "2026-05-04T15:25:03",
|
| 23 |
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"ended_at": "2026-05-04T15:25:08",
|
| 24 |
+
"duration_sec": 5.617
|
| 25 |
+
}
|
| 26 |
+
}
|
| 27 |
+
}
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/staged/ctgan/adapter_report.json
ADDED
|
@@ -0,0 +1,7 @@
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|
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|
|
|
|
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|
|
|
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|
|
| 1 |
+
{
|
| 2 |
+
"adapter_ready_status": "pass",
|
| 3 |
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"adapter_fail_reason_code": null,
|
| 4 |
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|
| 5 |
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"adapter_transforms_applied": [],
|
| 6 |
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"model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/staged/ctgan/model_input_manifest.json"
|
| 7 |
+
}
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/staged/ctgan/adapter_transforms_applied.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
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|
|
| 1 |
+
[]
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/staged/ctgan/model_input_manifest.json
ADDED
|
@@ -0,0 +1,151 @@
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|
|
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|
| 1 |
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{
|
| 2 |
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"dataset_id": "c2",
|
| 3 |
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"model": "ctgan",
|
| 4 |
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"target_column": "class",
|
| 5 |
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|
| 6 |
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|
| 7 |
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{
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| 8 |
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|
| 9 |
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|
| 10 |
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|
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| 20 |
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| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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| 27 |
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{
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| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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| 33 |
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| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
+
"med",
|
| 43 |
+
"high"
|
| 44 |
+
]
|
| 45 |
+
}
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"name": "doors",
|
| 49 |
+
"role": "feature",
|
| 50 |
+
"semantic_type": "categorical",
|
| 51 |
+
"nullable": false,
|
| 52 |
+
"missing_tokens": [],
|
| 53 |
+
"parse_format": null,
|
| 54 |
+
"impute_strategy": "mode",
|
| 55 |
+
"profile_stats": {
|
| 56 |
+
"missing_rate": 0.0,
|
| 57 |
+
"unique_count": 4,
|
| 58 |
+
"unique_ratio": 0.002894,
|
| 59 |
+
"example_values": [
|
| 60 |
+
"2",
|
| 61 |
+
"5more",
|
| 62 |
+
"3",
|
| 63 |
+
"4"
|
| 64 |
+
]
|
| 65 |
+
}
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"name": "persons",
|
| 69 |
+
"role": "feature",
|
| 70 |
+
"semantic_type": "categorical",
|
| 71 |
+
"nullable": false,
|
| 72 |
+
"missing_tokens": [],
|
| 73 |
+
"parse_format": null,
|
| 74 |
+
"impute_strategy": "mode",
|
| 75 |
+
"profile_stats": {
|
| 76 |
+
"missing_rate": 0.0,
|
| 77 |
+
"unique_count": 3,
|
| 78 |
+
"unique_ratio": 0.002171,
|
| 79 |
+
"example_values": [
|
| 80 |
+
"2",
|
| 81 |
+
"4",
|
| 82 |
+
"more"
|
| 83 |
+
]
|
| 84 |
+
}
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"name": "lug_boot",
|
| 88 |
+
"role": "feature",
|
| 89 |
+
"semantic_type": "categorical",
|
| 90 |
+
"nullable": false,
|
| 91 |
+
"missing_tokens": [],
|
| 92 |
+
"parse_format": null,
|
| 93 |
+
"impute_strategy": "mode",
|
| 94 |
+
"profile_stats": {
|
| 95 |
+
"missing_rate": 0.0,
|
| 96 |
+
"unique_count": 3,
|
| 97 |
+
"unique_ratio": 0.002171,
|
| 98 |
+
"example_values": [
|
| 99 |
+
"small",
|
| 100 |
+
"big",
|
| 101 |
+
"med"
|
| 102 |
+
]
|
| 103 |
+
}
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"name": "safety",
|
| 107 |
+
"role": "feature",
|
| 108 |
+
"semantic_type": "categorical",
|
| 109 |
+
"nullable": false,
|
| 110 |
+
"missing_tokens": [],
|
| 111 |
+
"parse_format": null,
|
| 112 |
+
"impute_strategy": "mode",
|
| 113 |
+
"profile_stats": {
|
| 114 |
+
"missing_rate": 0.0,
|
| 115 |
+
"unique_count": 3,
|
| 116 |
+
"unique_ratio": 0.002171,
|
| 117 |
+
"example_values": [
|
| 118 |
+
"low",
|
| 119 |
+
"high",
|
| 120 |
+
"med"
|
| 121 |
+
]
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"name": "class",
|
| 126 |
+
"role": "target",
|
| 127 |
+
"semantic_type": "categorical",
|
| 128 |
+
"nullable": false,
|
| 129 |
+
"missing_tokens": [],
|
| 130 |
+
"parse_format": null,
|
| 131 |
+
"impute_strategy": "mode",
|
| 132 |
+
"profile_stats": {
|
| 133 |
+
"missing_rate": 0.0,
|
| 134 |
+
"unique_count": 4,
|
| 135 |
+
"unique_ratio": 0.002894,
|
| 136 |
+
"example_values": [
|
| 137 |
+
"unacc",
|
| 138 |
+
"good",
|
| 139 |
+
"acc",
|
| 140 |
+
"vgood"
|
| 141 |
+
]
|
| 142 |
+
}
|
| 143 |
+
}
|
| 144 |
+
],
|
| 145 |
+
"public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/public_gate/staged_input_manifest.json",
|
| 146 |
+
"train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/staged/public/train.csv",
|
| 147 |
+
"val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/staged/public/val.csv",
|
| 148 |
+
"test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/staged/public/test.csv",
|
| 149 |
+
"features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/staged/public/staged_features.json",
|
| 150 |
+
"public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152412/public_gate/public_gate_report.json"
|
| 151 |
+
}
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/staged/public/staged_features.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"feature_name": "buying",
|
| 4 |
+
"data_type": "categorical",
|
| 5 |
+
"is_target": false
|
| 6 |
+
},
|
| 7 |
+
{
|
| 8 |
+
"feature_name": "maint",
|
| 9 |
+
"data_type": "categorical",
|
| 10 |
+
"is_target": false
|
| 11 |
+
},
|
| 12 |
+
{
|
| 13 |
+
"feature_name": "doors",
|
| 14 |
+
"data_type": "categorical",
|
| 15 |
+
"is_target": false
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"feature_name": "persons",
|
| 19 |
+
"data_type": "categorical",
|
| 20 |
+
"is_target": false
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"feature_name": "lug_boot",
|
| 24 |
+
"data_type": "categorical",
|
| 25 |
+
"is_target": false
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"feature_name": "safety",
|
| 29 |
+
"data_type": "categorical",
|
| 30 |
+
"is_target": false
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"feature_name": "class",
|
| 34 |
+
"data_type": "categorical",
|
| 35 |
+
"is_target": true
|
| 36 |
+
}
|
| 37 |
+
]
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/staged/public/test.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b48114a7d0bc5bd9a07920f903c8d4aba8bf98bf2a66a050da03588b0245ca73
|
| 3 |
+
size 5273
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/staged/public/train.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4aed00c2c2b3f88a55a7ebff31b2e1b5e0e32fb0a7267e0b9d2779cd23e434dd
|
| 3 |
+
size 41565
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152412/staged/public/val.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:26e90c1170a57a14c05832ac88027722b1f3848f9662c7c09ef7c93dcba4cc01
|
| 3 |
+
size 5176
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152521/_ctgan_generate.py
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import sys
|
| 2 |
+
sys.path.insert(0, "/work")
|
| 3 |
+
from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
|
| 4 |
+
apply_ctgan_inverse_fix()
|
| 5 |
+
import pandas as pd
|
| 6 |
+
from ctgan.synthesizers.ctgan import CTGAN
|
| 7 |
+
model = CTGAN.load("/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152521/models_150epochs/ctgan_150epochs.pt")
|
| 8 |
+
total = 1382
|
| 9 |
+
chunk = min(50000, total) if total > 50000 else total
|
| 10 |
+
parts = []
|
| 11 |
+
left = total
|
| 12 |
+
while left > 0:
|
| 13 |
+
take = min(chunk, left)
|
| 14 |
+
parts.append(model.sample(take))
|
| 15 |
+
left -= take
|
| 16 |
+
sampled = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
|
| 17 |
+
sampled.to_csv("/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152521/ctgan-c2-1382-20260504_152602.csv", index=False)
|
| 18 |
+
print("[CTGAN] Generated", total, "rows in", len(parts), "chunks ->", "/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152521/ctgan-c2-1382-20260504_152602.csv")
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152521/_ctgan_train.py
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import pandas as pd
|
| 2 |
+
from ctgan.synthesizers.ctgan import CTGAN
|
| 3 |
+
|
| 4 |
+
data = pd.read_csv("/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152521/staged/public/train.csv")
|
| 5 |
+
discrete_columns = ['buying', 'maint', 'doors', 'persons', 'lug_boot', 'safety', 'class']
|
| 6 |
+
model = CTGAN(
|
| 7 |
+
embedding_dim=32,
|
| 8 |
+
generator_dim=(64, 64),
|
| 9 |
+
discriminator_dim=(64, 64),
|
| 10 |
+
batch_size=128,
|
| 11 |
+
pac=1,
|
| 12 |
+
epochs=150,
|
| 13 |
+
verbose=True,
|
| 14 |
+
)
|
| 15 |
+
model.fit(data, discrete_columns)
|
| 16 |
+
model.save("/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152521/models_150epochs/ctgan_150epochs.pt")
|
| 17 |
+
print("[CTGAN] Saved model ->", "/work/output-Benchmark-trainonly-v1/c2/ctgan/ctgan-c2-20260504_152521/models_150epochs/ctgan_150epochs.pt")
|
SynthData0523/main/c2/ctgan/ctgan-c2-20260504_152521/ctgan-c2-1382-20260504_152602.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f9e5f49ea1929935b2cbff19d40b624b643fce1ce9b25dcd47f8a95b18c8e658
|
| 3 |
+
size 41931
|