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Clihyperparameterfix #3794

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19af79f
Refactor command to use bash for training script
Chakradhar886 Mar 10, 2026
3b9fa6d
Update pipeline.yml
Chakradhar886 Mar 10, 2026
b4723e9
Change input data type from uri_folder to uri_file
Chakradhar886 Mar 10, 2026
0d1e899
Update train.yml
Chakradhar886 Mar 10, 2026
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6 changes: 4 additions & 2 deletions cli/jobs/pipelines-with-components/pipeline_with_hyperparameter_sweep/pipeline.yml
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
$schema: https://azuremlschemas.azureedge.net/latest/pipelineJob.schema.json
type: pipeline
display_name: pipeline_with_hyperparameter_sweep
display_name: pipeline_with_hyperparameter_sweep_fix
description: Tune hyperparameters using TF component
settings:
default_compute: azureml:cpu-cluster
Expand All @@ -24,7 +24,9 @@ jobs:
random_state: 42
outputs:
model_output:
type: uri_folder
test_data:
type: uri_folder
sampling_algorithm: random
trial: ./train.yml
search_space:
Expand Down Expand Up @@ -56,4 +58,4 @@ jobs:
predict_result:
component: ./predict.yml



30 changes: 6 additions & 24 deletions cli/jobs/pipelines-with-components/pipeline_with_hyperparameter_sweep/train.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -5,9 +5,9 @@ name: train_model
display_name: train_model
version: 1

inputs:
inputs:
data:
type: uri_folder
type: uri_file
c_value:
type: number
default: 1.0
Expand All @@ -20,7 +20,7 @@ inputs:
gamma:
type: string
default: scale
coef0:
coef0:
type: number
default: 0
shrinking:
Expand Down Expand Up @@ -53,30 +53,12 @@ inputs:

outputs:
model_output:
type: mlflow_model
type: uri_folder
test_data:
type: uri_folder

code: ./train-src

code: ./train-src
environment: azureml://registries/azureml/environments/sklearn-1.5/labels/latest

command: >-
python train.py
--data ${{inputs.data}}
--C ${{inputs.c_value}}
--kernel ${{inputs.kernel}}
--degree ${{inputs.degree}}
--gamma ${{inputs.gamma}}
--coef0 ${{inputs.coef0}}
--shrinking ${{inputs.shrinking}}
--probability ${{inputs.probability}}
--tol ${{inputs.tol}}
--cache_size ${{inputs.cache_size}}
--verbose ${{inputs.verbose}}
--max_iter ${{inputs.max_iter}}
--decision_function_shape ${{inputs.decision_function_shape}}
--break_ties ${{inputs.break_ties}}
--random_state ${{inputs.random_state}}
--model_output ${{outputs.model_output}}
--test_data ${{outputs.test_data}}
bash -c "python train.py --data '${{inputs.data}}' --C '${{inputs.c_value}}' --kernel '${{inputs.kernel}}' --degree '${{inputs.degree}}' --gamma '${{inputs.gamma}}' --coef0 '${{inputs.coef0}}' --shrinking '${{inputs.shrinking}}' --probability '${{inputs.probability}}' --tol '${{inputs.tol}}' --cache_size '${{inputs.cache_size}}' --verbose '${{inputs.verbose}}' --max_iter '${{inputs.max_iter}}' --decision_function_shape '${{inputs.decision_function_shape}}' --break_ties '${{inputs.break_ties}}' --random_state '${{inputs.random_state}}' --model_output '${{outputs.model_output}}' --test_data '${{outputs.test_data}}'"
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