ae5ae056d6
5 templates were missing app.kubernetes.io/component=gpu-test label, causing MinIO log archival to fail (port 9000 blocked by network policy). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
118 lines
3.3 KiB
YAML
118 lines
3.3 KiB
YAML
# Train supervised model: fetch binaries → hyperopt → train → evaluate → upload.
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#
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# Usage (any of the 8 supervised models):
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# argo submit --from=wftmpl/train-supervised -p model=tft -p binary-tag=latest
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# argo submit --from=wftmpl/train-supervised -p model=mamba2 -p binary-tag=dev-abc1234
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# argo submit --from=wftmpl/train-supervised -p model=kan -p binary-tag=latest -p train-epochs=100
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#
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# Supported models: tft, mamba2, tggn, tlob, liquid, kan, xlstm, diffusion
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#
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# Thin wrapper around training-pipeline (templateRef) with supervised defaults.
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# Uses hyperopt_baseline_supervised / train_baseline_supervised / evaluate_supervised.
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---
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apiVersion: argoproj.io/v1alpha1
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kind: WorkflowTemplate
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metadata:
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name: train-supervised
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namespace: foxhunt
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labels:
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app.kubernetes.io/name: train-supervised
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app.kubernetes.io/part-of: foxhunt
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app.kubernetes.io/component: gpu-test
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spec:
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entrypoint: pipeline
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serviceAccountName: argo-workflow
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podMetadata:
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labels:
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app.kubernetes.io/part-of: foxhunt
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app.kubernetes.io/component: gpu-test
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app.kubernetes.io/component: training
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securityContext:
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runAsUser: 1000
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runAsGroup: 1000
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fsGroup: 1000
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ttlStrategy:
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secondsAfterCompletion: 3600
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activeDeadlineSeconds: 28800 # 8 hours
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arguments:
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parameters:
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- name: model
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# One of: tft, mamba2, tggn, tlob, liquid, kan, xlstm, diffusion
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value: tft
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- name: binary-tag
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value: latest
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- name: gpu-pool
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value: ci-training-h100
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- name: hyperopt-trials
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value: "20"
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- name: hyperopt-epochs
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value: "8"
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- name: train-epochs
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value: "50"
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- name: symbol
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value: ES.FUT
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- name: data-dir
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value: /data/futures-baseline
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- name: mbp10-data-dir
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value: /data/futures-baseline-mbp10
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- name: trades-data-dir
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value: /data/futures-baseline-trades
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- name: tx-cost-bps
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value: "0.1"
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- name: tick-size
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value: "0.25"
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- name: spread-ticks
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value: "1.0"
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- name: initial-capital
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value: "35000"
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- name: ensemble-top-k
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value: "5"
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- name: cuda-compute-cap
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value: "90"
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volumes:
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- name: training-data
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persistentVolumeClaim:
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claimName: training-data-pvc
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readOnly: true
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volumeClaimTemplates:
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- metadata:
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name: workspace
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spec:
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accessModes: ["ReadWriteOnce"]
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storageClassName: scw-bssd
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resources:
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requests:
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storage: 5Gi
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templates:
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- name: pipeline
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dag:
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tasks:
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- name: fetch-binary
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templateRef:
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name: training-pipeline
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template: fetch-binary
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- name: hyperopt
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templateRef:
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name: training-pipeline
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template: hyperopt
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dependencies: [fetch-binary]
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- name: train-best
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templateRef:
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name: training-pipeline
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template: train-best
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dependencies: [hyperopt]
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- name: evaluate
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templateRef:
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name: training-pipeline
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template: evaluate
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dependencies: [train-best]
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- name: upload-results
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templateRef:
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name: training-pipeline
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template: upload-results
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dependencies: [evaluate]
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