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pipeline

Manish Bhusal answered on April 4, 2023 Popularity 10/10 Helpfulness 2/10

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Pipeline is a set of tasks happening in sequence, where the output
of a task becomes the input of the next one, until it outputs the 
final product at the end. The nice thing about pipelines is that they
make our data preparation faster. 
The purpose of a pipeline is to chain multiple steps together, where
each step in the pipeline typically applies a specific transformation 
to the data.
By using a pipeline, we can ensure that the same preprocessing steps are 
applied to both the training and test sets in the same way, avoiding data
leakage or inconsistencies.
Once we have defined our pipeline, we can fit it to our training data & 
use it to make predictions on new, unseen data.

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Contributed on Apr 04 2023

Manish Bhusal

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{
    "files.associations": {
        "**/ci/*.yml": "azure-pipelines"
    }
}

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Contributed on Jul 15 2023

Cheryl Tinsley

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pipeline's

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{
  "azure-pipelines.customSchemaFile": "./path/to/my-schema.json"
}

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Contributed on Jul 15 2023

Cheryl Tinsley

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