adds option to add external information sources like model callbacks

[jhoetter]

No description provided.

[jhoetter]

Run this together with:

• UI PR
• Gateway PR
• Submodule PR

You can add a model callback using the Python SDK in branch external-information-sources (PR) as follows:

from refinery import Client

user_name = "your-mail" # this is the email you log in with
password = "your-pw"
project_id = "your-clickbait-sample-project-id" # can be found in the URL of the web application

client = Client(user_name, password, project_id, uri="http://localhost:4455")

from sklearn.linear_model import LogisticRegression
clf = LogisticRegression()

from refinery.adapter.sklearn import build_classification_dataset
data = build_classification_dataset(client, "headline", "__clickbait", "distilbert-base-uncased", num_train=50)
clf.fit(data["train"]["inputs"], data["train"]["labels"])

from refinery.callbacks.sklearn import SklearnCallback
callback = SklearnCallback(
    client, 
    clf,
    "clickbait", 
)

callback.run(data["train"]["inputs"], data["train"]["index"])
callback.run(data["test"]["inputs"], data["test"]["index"])