cloudexplain 0.1.0rc3

A package for explaining cloud-based solutions provided by cloudexplain GmbH.

Cloudexplain

This is the open source cloudexplain package (or what it is going to be). This just uploads your current data to the azure account you are currently logged in via az.

Azure

To install this for azure run:

pip install cloudexplain[azure]

In order to run it on azure you must have write rights on the cloudexplainmodels storage account on the resource group cloudexplain on your subscription and must be logged in via

az login

Example Usage

import shap
import sklearn
import cloudexplain

X, y = shap.datasets.adult(n_points=100)
X["adult_id"] = list(range(len(X)))
dtc = sklearn.tree.DecisionTreeClassifier()
dtc.fit(X, y)


with cloudexplain.azure.explain(dtc,
                                X,
                                y,
                                model_version="0.0.1",
                                model_description="This is a new model.",
                                resource_group_name="mycomp-cloudexplain-tf",
                                explanation_name="dummy_name",
                                explanation_env="dev",
                                data_source="shap_adult_dataset",
                                observation_id_column="adult_id") as run:
    print("This is the run uuid", run.run_uuid)
    pred = dtc.predict(X)

Troubleshooting

When logged in with multiple accounts it can be the case that the permissions are not handled correctly. Signing out of all users except for the one who has the correct rights helps.

az logout