diff --git a/docs/quickstarts/README.md b/docs/quickstarts/README.md index 9094d700..bc1baba0 100644 --- a/docs/quickstarts/README.md +++ b/docs/quickstarts/README.md @@ -14,10 +14,23 @@ After you have poetry installed you can install the project's dependencies run: poetry install ``` +Then, activate an environment: + +```bash +poetry shell +``` + +If you apply any change in the requirements, don't forget to run the following command: + +```bash +poetry update +``` + + ### Tutorials ### -| Task | Tutorial Name | Dataset to use | Description | -|-----------------------|---------------------------------------------------|-------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------| -| Binary Classification | notebooks/binary-classification-income-data.ipynb | data/binary_classification/reference-income.csv, data/binary_classification/current1-income.csv| In this tutorial we monitor data and performance of a ML used to classify if the income is > 50K given a set of features. | +| Task | Tutorial Name | Dataset to use | Dataset license | Description | +|-----------------------|---------------------------------------------------|-------------------------------------------------------------------------------------------------|-------------------|---------------------------------------------------------------------------------------------------------------------------| +| Binary Classification | notebooks/binary-classification-income-data.ipynb | data/binary_classification/reference-income.csv, data/binary_classification/current1-income.csv|Kohavi,Ron. (1996). Census Income. UCI Machine Learning Repository. https://doi.org/10.24432/C5GP7S. Adapted by Radicalbit. | In this tutorial we monitor data and performance of a ML used to classify if the income is > 50K given a set of features. | diff --git a/docs/quickstarts/notebooks/binary-classification-income-data.ipynb b/docs/quickstarts/notebooks/binary-classification-income-data.ipynb index 67cd6fed..51a207d6 100644 --- a/docs/quickstarts/notebooks/binary-classification-income-data.ipynb +++ b/docs/quickstarts/notebooks/binary-classification-income-data.ipynb @@ -77,7 +77,10 @@ "\n", "In this example we will use a dataset build to classify between two different classes:\n", "- **class 0:** income <= 50K\n", - "- **class 1:** income > 50K" + "- **class 1:** income > 50K\n", + "\n", + "\n", + "> **_Dataset license:_** Kohavi,Ron. (1996). Census Income. UCI Machine Learning Repository. https://doi.org/10.24432/C5GP7S. Adapted by Radicalbit." ] }, { diff --git a/docs/quickstarts/poetry.lock b/docs/quickstarts/poetry.lock index c8583b93..f5461adc 100644 --- a/docs/quickstarts/poetry.lock +++ b/docs/quickstarts/poetry.lock @@ -221,17 +221,17 @@ css = ["tinycss2 (>=1.1.0,<1.3)"] [[package]] name = "boto3" -version = "1.34.138" +version = "1.34.140" description = "The AWS SDK for Python" optional = false python-versions = ">=3.8" files = [ - {file = "boto3-1.34.138-py3-none-any.whl", hash = "sha256:81518aa95fad71279411fb5c94da4b4a554a5d53fc876faca62b7b5c8737f1cb"}, - {file = "boto3-1.34.138.tar.gz", hash = "sha256:f79c15e33eb7706f197d98d828b193cf0891966682ad3ec5e900f6f9e7362e35"}, + {file = "boto3-1.34.140-py3-none-any.whl", hash = "sha256:23ca8d8f7a30c3bbd989808056b5fc5d68ff5121c02c722c6167b6b1bb7f8726"}, + {file = "boto3-1.34.140.tar.gz", hash = "sha256:578bbd5e356005719b6b610d03edff7ea1b0824d078afe62d3fb8bea72f83a87"}, ] [package.dependencies] -botocore = ">=1.34.138,<1.35.0" +botocore = 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