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2 | 2 |
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3 | 3 | ### Environment Setup
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4 | 4 |
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5 |
| -- `environment_setup/requirements.txt` : It consist of list of python packages which are needed by the train.py to run successfully on host agent (locally). |
| 5 | +- `environment_setup/requirements.txt` : It consists of a list of python packages which are needed by the train.py to run successfully on host agent (locally). |
6 | 6 |
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7 |
| -- `environment_setup/install_requirements.sh` : This script prepare the python environment i.e. install the Azure ML SDK and the packages specified in requirements.txt |
| 7 | +- `environment_setup/install_requirements.sh` : This script prepares the python environment i.e. install the Azure ML SDK and the packages specified in requirements.txt |
8 | 8 |
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9 | 9 | - `environment_setup/iac-*.yml, arm-templates` : Infrastructure as Code piplines to create and delete required resources along with corresponding arm-templates.
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10 | 10 |
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11 |
| -- `environment_setup/Dockerfile` : Dockerfile of a building agent containing Python 3.6 and all required packages. |
| 11 | +- `environment_setup/Dockerfile` : Dockerfile of a build agent containing Python 3.6 and all required packages. |
12 | 12 |
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13 |
| -- `environment_setup/docker-image-pipeline.yml` : An AzDo pipeline building and pushing [microsoft/mlopspython](https://hub.docker.com/_/microsoft-mlops-python) image. |
| 13 | +- `environment_setup/docker-image-pipeline.yml` : An AzDo pipeline for building and pushing [microsoft/mlopspython](https://hub.docker.com/_/microsoft-mlops-python) image. |
14 | 14 |
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15 | 15 | ### Pipelines
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16 | 16 |
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17 |
| -- `.pipelines/azdo-base-pipeline.yml` : a pipeline template used by ci-build-train pipeline and pr-build-train pipelines. It contains steps performig linting, data and unit testing. |
18 |
| -- `.pipelines/azdo-ci-build-train.yml` : a pipeline triggered when the code is merged into **master**. It profrorms linting, data integrity testing, unit testing, building and publishing an ML pipeline. |
19 |
| -- `.pipelines/azdo-pr-build-train.yml` : a pipeline triggered when a **pull request** to the **master** branch is created. It profrorms linting, data integrity testing and unit testing only. |
| 17 | +- `.pipelines/azdo-base-pipeline.yml` : a pipeline template used by ci-build-train pipeline and pr-build-train pipelines. It contains steps performing linting, data and unit testing. |
| 18 | +- `.pipelines/azdo-ci-build-train.yml` : a pipeline triggered when the code is merged into **master**. It performs linting, data integrity testing, unit testing, building and publishing an ML pipeline. |
| 19 | +- `.pipelines/azdo-pr-build-train.yml` : a pipeline triggered when a **pull request** to the **master** branch is created. It performs linting, data integrity testing and unit testing only. |
20 | 20 |
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21 | 21 | ### ML Services
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22 | 22 |
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28 | 28 |
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29 | 29 | - `code/training/train.py` : a training step of an ML training pipeline.
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30 | 30 | - `code/evaluate/evaluate_model.py` : an evaluating step of an ML training pipeline.
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31 |
| -- `code/evaluate/register_model.py` : registers a new trained model if evaluation shows the new model is more performent than the previous one. |
| 31 | +- `code/evaluate/register_model.py` : registers a new trained model if evaluation shows the new model is more performant than the previous one. |
32 | 32 |
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33 | 33 | ### Scoring
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34 | 34 | - code/scoring/score.py : a scoring script which is about to be packed into a Docker Image along with a model while being deployed to QA/Prod environment.
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